feat: Upload the library agent skill

agent-skill/README.md

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+### Scrapling Agent Skill
+
+This directory aims to align with the [AgentSkill](https://agentskills.io/specification) specification to make a skill readable by OpenClaw and other agentic tools. It encapsulates almost all the documentation website's content in Markdown format, so the agent doesn't have to guess anything.

agent-skill/Scrapling-Skill/LICENSE.txt

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+BSD 3-Clause License
+
+Copyright (c) 2024, Karim shoair
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+   contributors may be used to endorse or promote products derived from
+   this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

agent-skill/Scrapling-Skill/SKILL.md

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+---
+name: scrapling-official
+description: Scrape web pages using Scrapling with anti-bot bypass (like Cloudflare Turnstile), stealth headless browsing, spiders framework, adaptive scraping, and JavaScript rendering. Use when asked to scrape, crawl, or extract data from websites; web_fetch fails; the site has anti-bot protections; write Python code to scrape/crawl; or write spiders.
+version: 0.4.1
+license: Complete terms in LICENSE.txt
+---
+
+# Scrapling
+
+Scrapling is an adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl.
+
+Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti-bot systems like Cloudflare Turnstile out of the box. And its spider framework lets you scale up to concurrent, multi-session crawls with pause/resume and automatic proxy rotation — all in a few lines of Python. One library, zero compromises.
+
+Blazing fast crawls with real-time stats and streaming. Built by Web Scrapers for Web Scrapers and regular users, there's something for everyone.
+
+**Requires: Python 3.10+**
+
+**This is the official skill for the scrapling library by the library author.**
+
+
+## Setup (once)
+
+Create a virtual Python environment through any way available, like `venv`, then inside the environment do:
+
+`pip install "scrapling[all]>=0.4.1"`
+
+Then do this to download all the browsers' dependencies:
+
+```bash
+scrapling install --force
+```
+
+Make note of the `scrapling` binary path and use it instead of `scrapling` from now on with all commands (if `scrapling` is not on `$PATH`).
+
+### Docker
+Another option if the user doesn't have Python or doesn't want to use it is to use the Docker image, but this can be used only in the commands, so no writing Python code for scrapling this way:
+
+```bash
+docker pull pyd4vinci/scrapling
+```
+or
+```bash
+docker pull ghcr.io/d4vinci/scrapling:latest
+```
+
+## CLI Usage
+
+The `scrapling extract` command group lets you download and extract content from websites directly without writing any code.
+
+```bash
+Usage: scrapling extract [OPTIONS] COMMAND [ARGS]...
+
+Commands:
+  get             Perform a GET request and save the content to a file.
+  post            Perform a POST request and save the content to a file.
+  put             Perform a PUT request and save the content to a file.
+  delete          Perform a DELETE request and save the content to a file.
+  fetch           Use a browser to fetch content with browser automation and flexible options.
+  stealthy-fetch  Use a stealthy browser to fetch content with advanced stealth features.
+```
+
+### Usage pattern
+- Choose your output format by changing the file extension. Here are some examples for the `scrapling extract get` command:
+  - Convert the HTML content to Markdown, then save it to the file (great for documentation): `scrapling extract get "https://blog.example.com" article.md`
+  - Save the HTML content as it is to the file: `scrapling extract get "https://example.com" page.html`
+  - Save a clean version of the text content of the webpage to the file: `scrapling extract get "https://example.com" content.txt`
+- Output to a temp file, read it back, then clean up.
+- All commands can use CSS selectors to extract specific parts of the page through `--css-selector` or `-s`.
+
+Which command to use generally:
+- Use **`get`** with simple websites, blogs, or news articles.
+- Use **`fetch`** with modern web apps, or sites with dynamic content.
+- Use **`stealthy-fetch`** with protected sites, Cloudflare, or anti-bot systems.
+
+> When unsure, start with `get`. If it fails or returns empty content, escalate to `fetch`, then `stealthy-fetch`. The speed of `fetch` and `stealthy-fetch` is nearly the same, so you are not sacrificing anything.
+
+#### Key options (requests)
+
+Those options are shared between the 4 HTTP request commands:
+
+| Option                                     | Input type | Description                                                                                                                                    |
+|:-------------------------------------------|:----------:|:-----------------------------------------------------------------------------------------------------------------------------------------------|
+| -H, --headers                              |    TEXT    | HTTP headers in format "Key: Value" (can be used multiple times)                                                                               |
+| --cookies                                  |    TEXT    | Cookies string in format "name1=value1; name2=value2"                                                                                          |
+| --timeout                                  |  INTEGER   | Request timeout in seconds (default: 30)                                                                                                       |
+| --proxy                                    |    TEXT    | Proxy URL in format "http://username:password@host:port"                                                                                       |
+| -s, --css-selector                         |    TEXT    | CSS selector to extract specific content from the page. It returns all matches.                                                                |
+| -p, --params                               |    TEXT    | Query parameters in format "key=value" (can be used multiple times)                                                                            |
+| --follow-redirects / --no-follow-redirects |    None    | Whether to follow redirects (default: True)                                                                                                    |
+| --verify / --no-verify                     |    None    | Whether to verify SSL certificates (default: True)                                                                                             |
+| --impersonate                              |    TEXT    | Browser to impersonate. Can be a single browser (e.g., Chrome) or a comma-separated list for random selection (e.g., Chrome, Firefox, Safari). |
+| --stealthy-headers / --no-stealthy-headers |    None    | Use stealthy browser headers (default: True)                                                                                                   |
+
+Options shared between `post` and `put` only:
+
+| Option     | Input type | Description                                                                             |
+|:-----------|:----------:|:----------------------------------------------------------------------------------------|
+| -d, --data |    TEXT    | Form data to include in the request body (as string, ex: "param1=value1&param2=value2") |
+| -j, --json |    TEXT    | JSON data to include in the request body (as string)                                    |
+
+Examples:
+
+```bash
+# Basic download
+scrapling extract get "https://news.site.com" news.md
+
+# Download with custom timeout
+scrapling extract get "https://example.com" content.txt --timeout 60
+
+# Extract only specific content using CSS selectors
+scrapling extract get "https://blog.example.com" articles.md --css-selector "article"
+
+# Send a request with cookies
+scrapling extract get "https://scrapling.requestcatcher.com" content.md --cookies "session=abc123; user=john"
+
+# Add user agent
+scrapling extract get "https://api.site.com" data.json -H "User-Agent: MyBot 1.0"
+
+# Add multiple headers
+scrapling extract get "https://site.com" page.html -H "Accept: text/html" -H "Accept-Language: en-US"
+```
+
+#### Key options (browsers)
+
+Both (`fetch` / `stealthy-fetch`) share options:
+
+
+| Option                                   | Input type | Description                                                                                                                                              |
+|:-----------------------------------------|:----------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------|
+| --headless / --no-headless               |    None    | Run browser in headless mode (default: True)                                                                                                             |
+| --disable-resources / --enable-resources |    None    | Drop unnecessary resources for speed boost (default: False)                                                                                              |
+| --network-idle / --no-network-idle       |    None    | Wait for network idle (default: False)                                                                                                                   |
+| --real-chrome / --no-real-chrome         |    None    | If you have a Chrome browser installed on your device, enable this, and the Fetcher will launch an instance of your browser and use it. (default: False) |
+| --timeout                                |  INTEGER   | Timeout in milliseconds (default: 30000)                                                                                                                 |
+| --wait                                   |  INTEGER   | Additional wait time in milliseconds after page load (default: 0)                                                                                        |
+| -s, --css-selector                       |    TEXT    | CSS selector to extract specific content from the page. It returns all matches.                                                                          |
+| --wait-selector                          |    TEXT    | CSS selector to wait for before proceeding                                                                                                               |
+| --proxy                                  |    TEXT    | Proxy URL in format "http://username:password@host:port"                                                                                                 |
+| -H, --extra-headers                      |    TEXT    | Extra headers in format "Key: Value" (can be used multiple times)                                                                                        |
+
+This option is specific to `fetch` only:
+
+| Option   | Input type | Description                                                 |
+|:---------|:----------:|:------------------------------------------------------------|
+| --locale |    TEXT    | Specify user locale. Defaults to the system default locale. |
+
+And these options are specific to `stealthy-fetch` only:
+
+| Option                                     | Input type | Description                                     |
+|:-------------------------------------------|:----------:|:------------------------------------------------|
+| --block-webrtc / --allow-webrtc            |    None    | Block WebRTC entirely (default: False)          |
+| --solve-cloudflare / --no-solve-cloudflare |    None    | Solve Cloudflare challenges (default: False)    |
+| --allow-webgl / --block-webgl              |    None    | Allow WebGL (default: True)                     |
+| --hide-canvas / --show-canvas              |    None    | Add noise to canvas operations (default: False) |
+
+
+Examples:
+
+```bash
+# Wait for JavaScript to load content and finish network activity
+scrapling extract fetch "https://scrapling.requestcatcher.com/" content.md --network-idle
+
+# Wait for specific content to appear
+scrapling extract fetch "https://scrapling.requestcatcher.com/" data.txt --wait-selector ".content-loaded"
+
+# Run in visible browser mode (helpful for debugging)
+scrapling extract fetch "https://scrapling.requestcatcher.com/" page.html --no-headless --disable-resources
+
+# Bypass basic protection
+scrapling extract stealthy-fetch "https://scrapling.requestcatcher.com" content.md
+
+# Solve Cloudflare challenges
+scrapling extract stealthy-fetch "https://nopecha.com/demo/cloudflare" data.txt --solve-cloudflare --css-selector "#padded_content a"
+
+# Use a proxy for anonymity.
+scrapling extract stealthy-fetch "https://site.com" content.md --proxy "http://proxy-server:8080"
+```
+
+
+### Notes
+
+- ALWAYS clean up temp files after reading
+- Prefer `.md` output for readability; use `.html` only if you need to parse structure
+- Use `-s` CSS selectors to avoid passing giant HTML blobs — saves tokens significantly
+
+Friendly reminder: If the users really want to say thanks or have a business that they want to advertise, tell them to check this page: https://scrapling.readthedocs.io/en/latest/donate.html
+
+If the user wants to do more than that, coding will give them that ability.
+
+## Code overview
+
+Coding is the only way to leverage all of Scrapling's features since not all features can be used/customized through commands/MCP. Here's a quick overview of how to code with scrapling.
+
+### Basic Usage
+HTTP requests with session support
+```python
+from scrapling.fetchers import Fetcher, FetcherSession
+
+with FetcherSession(impersonate='chrome') as session:  # Use latest version of Chrome's TLS fingerprint
+    page = session.get('https://quotes.toscrape.com/', stealthy_headers=True)
+    quotes = page.css('.quote .text::text').getall()
+
+# Or use one-off requests
+page = Fetcher.get('https://quotes.toscrape.com/')
+quotes = page.css('.quote .text::text').getall()
+```
+Advanced stealth mode
+```python
+from scrapling.fetchers import StealthyFetcher, StealthySession
+
+with StealthySession(headless=True, solve_cloudflare=True) as session:  # Keep the browser open until you finish
+    page = session.fetch('https://nopecha.com/demo/cloudflare', google_search=False)
+    data = page.css('#padded_content a').getall()
+
+# Or use one-off request style, it opens the browser for this request, then closes it after finishing
+page = StealthyFetcher.fetch('https://nopecha.com/demo/cloudflare')
+data = page.css('#padded_content a').getall()
+```
+Full browser automation
+```python
+from scrapling.fetchers import DynamicFetcher, DynamicSession
+
+with DynamicSession(headless=True, disable_resources=False, network_idle=True) as session:  # Keep the browser open until you finish
+    page = session.fetch('https://quotes.toscrape.com/', load_dom=False)
+    data = page.xpath('//span[@class="text"]/text()').getall()  # XPath selector if you prefer it
+
+# Or use one-off request style, it opens the browser for this request, then closes it after finishing
+page = DynamicFetcher.fetch('https://quotes.toscrape.com/')
+data = page.css('.quote .text::text').getall()
+```
+
+### Spiders
+Build full crawlers with concurrent requests, multiple session types, and pause/resume:
+```python
+from scrapling.spiders import Spider, Request, Response
+
+class QuotesSpider(Spider):
+    name = "quotes"
+    start_urls = ["https://quotes.toscrape.com/"]
+    concurrent_requests = 10
+    
+    async def parse(self, response: Response):
+        for quote in response.css('.quote'):
+            yield {
+                "text": quote.css('.text::text').get(),
+                "author": quote.css('.author::text').get(),
+            }
+            
+        next_page = response.css('.next a')
+        if next_page:
+            yield response.follow(next_page[0].attrib['href'])
+
+result = QuotesSpider().start()
+print(f"Scraped {len(result.items)} quotes")
+result.items.to_json("quotes.json")
+```
+Use multiple session types in a single spider:
+```python
+from scrapling.spiders import Spider, Request, Response
+from scrapling.fetchers import FetcherSession, AsyncStealthySession
+
+class MultiSessionSpider(Spider):
+    name = "multi"
+    start_urls = ["https://example.com/"]
+    
+    def configure_sessions(self, manager):
+        manager.add("fast", FetcherSession(impersonate="chrome"))
+        manager.add("stealth", AsyncStealthySession(headless=True), lazy=True)
+    
+    async def parse(self, response: Response):
+        for link in response.css('a::attr(href)').getall():
+            # Route protected pages through the stealth session
+            if "protected" in link:
+                yield Request(link, sid="stealth")
+            else:
+                yield Request(link, sid="fast", callback=self.parse)  # explicit callback
+```
+Pause and resume long crawls with checkpoints by running the spider like this:
+```python
+QuotesSpider(crawldir="./crawl_data").start()
+```
+Press Ctrl+C to pause gracefully — progress is saved automatically. Later, when you start the spider again, pass the same `crawldir`, and it will resume from where it stopped.
+
+### Advanced Parsing & Navigation
+```python
+from scrapling.fetchers import Fetcher
+
+# Rich element selection and navigation
+page = Fetcher.get('https://quotes.toscrape.com/')
+
+# Get quotes with multiple selection methods
+quotes = page.css('.quote')  # CSS selector
+quotes = page.xpath('//div[@class="quote"]')  # XPath
+quotes = page.find_all('div', {'class': 'quote'})  # BeautifulSoup-style
+# Same as
+quotes = page.find_all('div', class_='quote')
+quotes = page.find_all(['div'], class_='quote')
+quotes = page.find_all(class_='quote')  # and so on...
+# Find element by text content
+quotes = page.find_by_text('quote', tag='div')
+
+# Advanced navigation
+quote_text = page.css('.quote')[0].css('.text::text').get()
+quote_text = page.css('.quote').css('.text::text').getall()  # Chained selectors
+first_quote = page.css('.quote')[0]
+author = first_quote.next_sibling.css('.author::text')
+parent_container = first_quote.parent
+
+# Element relationships and similarity
+similar_elements = first_quote.find_similar()
+below_elements = first_quote.below_elements()
+```
+You can use the parser right away if you don't want to fetch websites like below:
+```python
+from scrapling.parser import Selector
+
+page = Selector("<html>...</html>")
+```
+And it works precisely the same way!
+### Async Session Management Examples
+```python
+import asyncio
+from scrapling.fetchers import FetcherSession, AsyncStealthySession, AsyncDynamicSession
+
+async with FetcherSession(http3=True) as session:  # `FetcherSession` is context-aware and can work in both sync/async patterns
+    page1 = session.get('https://quotes.toscrape.com/')
+    page2 = session.get('https://quotes.toscrape.com/', impersonate='firefox135')
+
+# Async session usage
+async with AsyncStealthySession(max_pages=2) as session:
+    tasks = []
+    urls = ['https://example.com/page1', 'https://example.com/page2']
+    
+    for url in urls:
+        task = session.fetch(url)
+        tasks.append(task)
+    
+    print(session.get_pool_stats())  # Optional - The status of the browser tabs pool (busy/free/error)
+    results = await asyncio.gather(*tasks)
+    print(session.get_pool_stats())
+```
+
+## References
+You already had a good glimpse of what the library can do. Use the references below to dig deeper when needed
+- `references/mcp-server.md` — MCP server tools and capabilities
+- `references/parsing` — Everything you need for parsing HTML
+- `references/fetching` — Everything you need to fetch websites and session persistence
+- `references/spiders` — Everything you need to write spiders, proxy rotation, and advanced features. It follows a Scrapy-like format
+- `references/migrating_from_beautifulsoup.md` — A quick API comparison between scrapling and Beautifulsoup
+- `https://github.com/D4Vinci/Scrapling/tree/main/docs` — Full official docs in Markdown for quick access (use only if current references do not look up-to-date).
+
+This skill encapsulates almost all the published documentation in Markdown, so don't check external sources or search online without the user's permission.
+
+## Guardrails (Always)
+- Only scrape content you're authorized to access.
+- Respect robots.txt and ToS.
+- Add delays (download_delay) for large crawls.
+- Don't bypass paywalls or authentication without permission.
+- Never scrape personal/sensitive data.

agent-skill/Scrapling-Skill/examples/01_fetcher_session.py

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+"""
+Example 1: Python - FetcherSession (persistent HTTP session with Chrome TLS fingerprint)
+
+Scrapes all 10 pages of quotes.toscrape.com using a single HTTP session.
+No browser launched — fast and lightweight.
+
+Best for: static or semi-static sites, APIs, pages that don't require JavaScript.
+"""
+
+from scrapling.fetchers import FetcherSession
+
+all_quotes = []
+
+with FetcherSession(impersonate="chrome") as session:
+    for i in range(1, 11):
+        page = session.get(
+            f"https://quotes.toscrape.com/page/{i}/",
+            stealthy_headers=True,
+        )
+        quotes = page.css(".quote .text::text").getall()
+        all_quotes.extend(quotes)
+        print(f"Page {i}: {len(quotes)} quotes (status {page.status})")
+
+print(f"\nTotal: {len(all_quotes)} quotes\n")
+for i, quote in enumerate(all_quotes, 1):
+    print(f"{i:>3}. {quote}")

agent-skill/Scrapling-Skill/examples/02_dynamic_session.py

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+"""
+Example 2: Python - DynamicSession (Playwright browser automation, visible)
+
+Scrapes all 10 pages of quotes.toscrape.com using a persistent browser session.
+The browser window stays open across all page requests for efficiency.
+
+Best for: JavaScript-heavy pages, SPAs, sites with dynamic content loading.
+
+Set headless=True to run the browser hidden.
+Set disable_resources=True to skip loading images/fonts for a speed boost.
+"""
+
+from scrapling.fetchers import DynamicSession
+
+all_quotes = []
+
+with DynamicSession(headless=False, disable_resources=True) as session:
+    for i in range(1, 11):
+        page = session.fetch(f"https://quotes.toscrape.com/page/{i}/")
+        quotes = page.css(".quote .text::text").getall()
+        all_quotes.extend(quotes)
+        print(f"Page {i}: {len(quotes)} quotes (status {page.status})")
+
+print(f"\nTotal: {len(all_quotes)} quotes\n")
+for i, quote in enumerate(all_quotes, 1):
+    print(f"{i:>3}. {quote}")

agent-skill/Scrapling-Skill/examples/03_stealthy_session.py

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+"""
+Example 3: Python - StealthySession (Patchright stealth browser, visible)
+
+Scrapes all 10 pages of quotes.toscrape.com using a persistent stealth browser session.
+Bypasses anti-bot protections automatically (Cloudflare Turnstile, fingerprinting, etc.).
+
+Best for: well-protected sites, Cloudflare-gated pages, sites that detect Playwright.
+
+Set headless=True to run the browser hidden.
+Add solve_cloudflare=True to auto-solve Cloudflare challenges.
+"""
+
+from scrapling.fetchers import StealthySession
+
+all_quotes = []
+
+with StealthySession(headless=False) as session:
+    for i in range(1, 11):
+        page = session.fetch(f"https://quotes.toscrape.com/page/{i}/")
+        quotes = page.css(".quote .text::text").getall()
+        all_quotes.extend(quotes)
+        print(f"Page {i}: {len(quotes)} quotes (status {page.status})")
+
+print(f"\nTotal: {len(all_quotes)} quotes\n")
+for i, quote in enumerate(all_quotes, 1):
+    print(f"{i:>3}. {quote}")

agent-skill/Scrapling-Skill/examples/04_spider.py

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+"""
+Example 4: Python - Spider (auto-crawling framework)
+
+Scrapes ALL pages of quotes.toscrape.com by following "Next" pagination links
+automatically. No manual page looping needed.
+
+The spider yields structured items (text + author + tags) and exports them to JSON.
+
+Best for: multi-page crawls, full-site scraping, anything needing pagination or
+link following across many pages.
+
+Outputs:
+  - Live stats to terminal during crawl
+  - Final crawl stats at the end
+  - quotes.json in the current directory
+"""
+
+from scrapling.spiders import Spider, Response
+
+
+class QuotesSpider(Spider):
+    name = "quotes"
+    start_urls = ["https://quotes.toscrape.com/"]
+    concurrent_requests = 5  # Fetch up to 5 pages at once
+
+    async def parse(self, response: Response):
+        # Extract all quotes on the current page
+        for quote in response.css(".quote"):
+            yield {
+                "text": quote.css(".text::text").get(),
+                "author": quote.css(".author::text").get(),
+                "tags": quote.css(".tags .tag::text").getall(),
+            }
+
+        # Follow the "Next" button to the next page (if it exists)
+        next_page = response.css(".next a")
+        if next_page:
+            yield response.follow(next_page[0].attrib["href"])
+
+
+if __name__ == "__main__":
+    result = QuotesSpider().start()
+
+    print(f"\n{'=' * 50}")
+    print(f"Scraped : {result.stats.items_scraped} quotes")
+    print(f"Requests: {result.stats.requests_count}")
+    print(f"Time    : {result.stats.elapsed_seconds:.2f}s")
+    print(f"Speed   : {result.stats.requests_per_second:.2f} req/s")
+    print(f"{'=' * 50}\n")
+
+    for i, item in enumerate(result.items, 1):
+        print(f"{i:>3}. [{item['author']}] {item['text']}")
+        if item["tags"]:
+            print(f"       Tags: {', '.join(item['tags'])}")
+
+    # Export to JSON
+    result.items.to_json("quotes.json", indent=True)
+    print("\nExported to quotes.json")

agent-skill/Scrapling-Skill/examples/README.md

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+# Scrapling Examples
+
+These examples scrape [quotes.toscrape.com](https://quotes.toscrape.com) — a safe, purpose-built scraping sandbox — and demonstrate every tool available in Scrapling, from plain HTTP to full browser automation and spiders.
+
+All examples collect **all 100 quotes across 10 pages**.
+
+## Quick Start
+
+Make sure Scrapling is installed:
+
+```bash
+pip install "scrapling[all]>=0.4.1"
+scrapling install --force
+```
+
+## Examples
+
+| File                     | Tool              | Type                        | Best For                              |
+|--------------------------|-------------------|-----------------------------|---------------------------------------|
+| `01_fetcher_session.py`  | `FetcherSession`  | Python — persistent HTTP    | APIs, fast multi-page scraping        |
+| `02_dynamic_session.py`  | `DynamicSession`  | Python — browser automation | Dynamic/SPA pages                     |
+| `03_stealthy_session.py` | `StealthySession` | Python — stealth browser    | Cloudflare, fingerprint bypass        |
+| `04_spider.py`           | `Spider`          | Python — auto-crawling      | Multi-page crawls, full-site scraping |
+
+## Running
+
+**Python scripts:**
+
+```bash
+python examples/01_fetcher_session.py
+python examples/02_dynamic_session.py  # Opens a visible browser
+python examples/03_stealthy_session.py # Opens a visible stealth browser
+python examples/04_spider.py           # Auto-crawls all pages, exports quotes.json
+```
+
+## Escalation Guide
+
+Start with the fastest, lightest option and escalate only if needed:
+
+```
+get / FetcherSession
+  └─ If JS required → fetch / DynamicSession
+       └─ If blocked → stealthy-fetch / StealthySession
+            └─ If multi-page → Spider
+```

agent-skill/Scrapling-Skill/references/fetching/choosing.md

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+# Fetchers basics
+
+## Introduction
+Fetchers are classes that do requests or fetch pages in a single-line fashion with many features and return a [Response](#response-object) object. All fetchers have separate session classes to keep the session running (e.g., a browser fetcher keeps the browser open until you finish all requests).
+
+Fetchers are not wrappers built on top of other libraries. They use these libraries as an engine to request/fetch pages but add features the underlying engines don't have, while still fully leveraging and optimizing them for web scraping.
+
+## Fetchers Overview
+
+Scrapling provides three different fetcher classes with their session classes; each fetcher is designed for a specific use case.
+
+The following table compares them and can be quickly used for guidance.
+
+
+| Feature            | Fetcher                                           | DynamicFetcher                                                                    | StealthyFetcher                                                                            |
+|--------------------|---------------------------------------------------|-----------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------|
+| Relative speed     | 🐇🐇🐇🐇🐇                                        | 🐇🐇🐇                                                                            | 🐇🐇🐇                                                                                     |
+| Stealth            | ⭐⭐                                                | ⭐⭐⭐                                                                               | ⭐⭐⭐⭐⭐                                                                                      |
+| Anti-Bot options   | ⭐⭐                                                | ⭐⭐⭐                                                                               | ⭐⭐⭐⭐⭐                                                                                      |
+| JavaScript loading | ❌                                                 | ✅                                                                                 | ✅                                                                                          |
+| Memory Usage       | ⭐                                                 | ⭐⭐⭐                                                                               | ⭐⭐⭐                                                                                        |
+| Best used for      | Basic scraping when HTTP requests alone can do it | - Dynamically loaded websites <br/>- Small automation<br/>- Small-Mid protections | - Dynamically loaded websites <br/>- Small automation <br/>- Small-Complicated protections |
+| Browser(s)         | ❌                                                 | Chromium and Google Chrome                                                        | Chromium and Google Chrome                                                                 |
+| Browser API used   | ❌                                                 | PlayWright                                                                        | PlayWright                                                                                 |
+| Setup Complexity   | Simple                                            | Simple                                                                            | Simple                                                                                     |
+
+## Parser configuration in all fetchers
+All fetchers share the same import method, as you will see in the upcoming pages
+```python
+>>> from scrapling.fetchers import Fetcher, AsyncFetcher, StealthyFetcher, DynamicFetcher
+```
+Then you use it right away without initializing like this, and it will use the default parser settings:
+```python
+>>> page = StealthyFetcher.fetch('https://example.com') 
+```
+If you want to configure the parser ([Selector class](parsing/main_classes.md#selector)) that will be used on the response before returning it for you, then do this first:
+```python
+>>> from scrapling.fetchers import Fetcher
+>>> Fetcher.configure(adaptive=True, keep_comments=False, keep_cdata=False)  # and the rest
+```
+or
+```python
+>>> from scrapling.fetchers import Fetcher
+>>> Fetcher.adaptive=True
+>>> Fetcher.keep_comments=False
+>>> Fetcher.keep_cdata=False  # and the rest
+```
+Then, continue your code as usual.
+
+The available configuration arguments are: `adaptive`, `adaptive_domain`, `huge_tree`, `keep_comments`, `keep_cdata`, `storage`, and `storage_args`, which are the same ones you give to the [Selector](parsing/main_classes.md#selector) class. You can display the current configuration anytime by running `<fetcher_class>.display_config()`.
+
+**Info:** The `adaptive` argument is disabled by default; you must enable it to use that feature.
+
+### Set parser config per request
+As you probably understand, the logic above for setting the parser config will apply globally to all requests/fetches made through that class, and it's intended for simplicity.
+
+If your use case requires a different configuration for each request/fetch, you can pass a dictionary to the request method (`fetch`/`get`/`post`/...) to an argument named `selector_config`.
+
+## Response Object
+The `Response` object is the same as the [Selector](parsing/main_classes.md#selector) class, but it has additional details about the response, like response headers, status, cookies, etc., as shown below:
+```python
+>>> from scrapling.fetchers import Fetcher
+>>> page = Fetcher.get('https://example.com')
+
+>>> page.status          # HTTP status code
+>>> page.reason          # Status message
+>>> page.cookies         # Response cookies as a dictionary
+>>> page.headers         # Response headers
+>>> page.request_headers # Request headers
+>>> page.history         # Response history of redirections, if any
+>>> page.body            # Raw response body as bytes
+>>> page.encoding        # Response encoding
+>>> page.meta            # Response metadata dictionary (e.g., proxy used). Mainly helpful with the spiders system.
+```
+All fetchers return the `Response` object.
+
+**Note:** Unlike the [Selector](parsing/main_classes.md#selector) class, the `Response` class's body is always bytes since v0.4.

agent-skill/Scrapling-Skill/references/fetching/dynamic.md

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+# Fetching dynamic websites
+
+`DynamicFetcher` (formerly `PlayWrightFetcher`) provides flexible browser automation with multiple configuration options and built-in stealth improvements.
+
+As we will explain later, to automate the page, you need some knowledge of [Playwright's Page API](https://playwright.dev/python/docs/api/class-page).
+
+## Basic Usage
+You have one primary way to import this Fetcher, which is the same for all fetchers.
+
+```python
+>>> from scrapling.fetchers import DynamicFetcher
+```
+Check out how to configure the parsing options [here](choosing.md#parser-configuration-in-all-fetchers)
+
+**Note:** The async version of the `fetch` method is `async_fetch`.
+
+This fetcher provides three main run options that can be combined as desired.
+
+Which are:
+
+### 1. Vanilla Playwright
+```python
+DynamicFetcher.fetch('https://example.com')
+```
+Using it in that manner will open a Chromium browser and load the page. There are optimizations for speed, and some stealth goes automatically under the hood, but other than that, there are no tricks or extra features unless you enable some; it's just a plain PlayWright API.
+
+### 2. Real Chrome
+```python
+DynamicFetcher.fetch('https://example.com', real_chrome=True)
+```
+If you have a Google Chrome browser installed, use this option. It's the same as the first option, but it will use the Google Chrome browser you installed on your device instead of Chromium. This will make your requests look more authentic, so they're less detectable for better results.
+
+If you don't have Google Chrome installed and want to use this option, you can use the command below in the terminal to install it for the library instead of installing it manually:
+```commandline
+playwright install chrome
+```
+
+### 3. CDP Connection
+```python
+DynamicFetcher.fetch('https://example.com', cdp_url='ws://localhost:9222')
+```
+Instead of launching a browser locally (Chromium/Google Chrome), you can connect to a remote browser through the [Chrome DevTools Protocol](https://chromedevtools.github.io/devtools-protocol/).
+
+
+**Notes:**
+* There was a `stealth` option here, but it was moved to the `StealthyFetcher` class, as explained on the next page, with additional features since version 0.3.13.
+* This makes it less confusing for new users, easier to maintain, and provides other benefits, as explained on the [StealthyFetcher page](fetching/stealthy.md).
+
+## Full list of arguments
+All arguments for `DynamicFetcher` and its session classes:
+
+|      Argument       | Description                                                                                                                                                                                                                         | Optional |
+|:-------------------:|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------:|
+|         url         | Target url                                                                                                                                                                                                                          |    ❌     |
+|      headless       | Pass `True` to run the browser in headless/hidden (**default**) or `False` for headful/visible mode.                                                                                                                                |    ✔️    |
+|  disable_resources  | Drop requests for unnecessary resources for a speed boost. Requests dropped are of type `font`, `image`, `media`, `beacon`, `object`, `imageset`, `texttrack`, `websocket`, `csp_report`, and `stylesheet`.                         |    ✔️    |
+|       cookies       | Set cookies for the next request.                                                                                                                                                                                                   |    ✔️    |
+|      useragent      | Pass a useragent string to be used. **Otherwise, the fetcher will generate and use a real Useragent of the same browser and version.**                                                                                              |    ✔️    |
+|    network_idle     | Wait for the page until there are no network connections for at least 500 ms.                                                                                                                                                       |    ✔️    |
+|      load_dom       | Enabled by default, wait for all JavaScript on page(s) to fully load and execute (wait for the `domcontentloaded` state).                                                                                                           |    ✔️    |
+|       timeout       | The timeout (milliseconds) used in all operations and waits through the page. The default is 30,000 ms (30 seconds).                                                                                                                |    ✔️    |
+|        wait         | The time (milliseconds) the fetcher will wait after everything finishes before closing the page and returning the `Response` object.                                                                                                |    ✔️    |
+|     page_action     | Added for automation. Pass a function that takes the `page` object and does the necessary automation.                                                                                                                               |    ✔️    |
+|    wait_selector    | Wait for a specific css selector to be in a specific state.                                                                                                                                                                         |    ✔️    |
+|     init_script     | An absolute path to a JavaScript file to be executed on page creation for all pages in this session.                                                                                                                                |    ✔️    |
+| wait_selector_state | Scrapling will wait for the given state to be fulfilled for the selector given with `wait_selector`. _Default state is `attached`._                                                                                                 |    ✔️    |
+|    google_search    | Enabled by default, Scrapling will set the referer header as if this request came from a Google search of this website's domain name.                                                                                               |    ✔️    |
+|    extra_headers    | A dictionary of extra headers to add to the request. _The referer set by the `google_search` argument takes priority over the referer set here if used together._                                                                   |    ✔️    |
+|        proxy        | The proxy to be used with requests. It can be a string or a dictionary with only the keys 'server', 'username', and 'password'.                                                                                                     |    ✔️    |
+|     real_chrome     | If you have a Chrome browser installed on your device, enable this, and the Fetcher will launch and use an instance of your browser.                                                                                                |    ✔️    |
+|       locale        | Specify user locale, for example, `en-GB`, `de-DE`, etc. Locale will affect `navigator.language` value, `Accept-Language` request header value, as well as number and date formatting rules. Defaults to the system default locale. |    ✔️    |
+|     timezone_id     | Changes the timezone of the browser. Defaults to the system timezone.                                                                                                                                                               |    ✔️    |
+|       cdp_url       | Instead of launching a new browser instance, connect to this CDP URL to control real browsers through CDP.                                                                                                                          |    ✔️    |
+|    user_data_dir    | Path to a User Data Directory, which stores browser session data like cookies and local storage. The default is to create a temporary directory. **Only Works with sessions**                                                       |    ✔️    |
+|     extra_flags     | A list of additional browser flags to pass to the browser on launch.                                                                                                                                                                |    ✔️    |
+|   additional_args   | Additional arguments to be passed to Playwright's context as additional settings, and they take higher priority than Scrapling's settings.                                                                                          |    ✔️    |
+|   selector_config   | A dictionary of custom parsing arguments to be used when creating the final `Selector`/`Response` class.                                                                                                                            |    ✔️    |
+|   blocked_domains   | A set of domain names to block requests to. Subdomains are also matched (e.g., `"example.com"` blocks `"sub.example.com"` too).                                                                                                     |    ✔️    |
+|    proxy_rotator    | A `ProxyRotator` instance for automatic proxy rotation. Cannot be combined with `proxy`.                                                                                                                                            |    ✔️    |
+|       retries       | Number of retry attempts for failed requests. Defaults to 3.                                                                                                                                                                        |    ✔️    |
+|     retry_delay     | Seconds to wait between retry attempts. Defaults to 1.                                                                                                                                                                              |    ✔️    |
+
+In session classes, all these arguments can be set globally for the session. Still, you can configure each request individually by passing some of the arguments here that can be configured on the browser tab level like: `google_search`, `timeout`, `wait`, `page_action`, `extra_headers`, `disable_resources`, `wait_selector`, `wait_selector_state`, `network_idle`, `load_dom`, `blocked_domains`, `proxy`, and `selector_config`.
+
+**Notes:**
+1. The `disable_resources` option made requests ~25% faster in tests for some websites and can help save proxy usage, but be careful with it, as it can cause some websites to never finish loading.
+2. The `google_search` argument is enabled by default for all requests, making the request appear to come from a Google search page. So, a request for `https://example.com` will set the referer to `https://www.google.com/search?q=example`. Also, if used together, it takes priority over the referer set by the `extra_headers` argument.
+3. Since version 0.3.13, the `stealth` option has been removed here in favor of the `StealthyFetcher` class, and the `hide_canvas` option has been moved to it. The `disable_webgl` argument has been moved to the `StealthyFetcher` class and renamed as `allow_webgl`.
+4. If you didn't set a user agent and enabled headless mode, the fetcher will generate a real user agent for the same browser version and use it. If you didn't set a user agent and didn't enable headless mode, the fetcher will use the browser's default user agent, which is the same as in standard browsers in the latest versions.
+
+
+## Examples
+
+### Resource Control
+
+```python
+# Disable unnecessary resources
+page = DynamicFetcher.fetch('https://example.com', disable_resources=True)  # Blocks fonts, images, media, etc.
+```
+
+### Domain Blocking
+
+```python
+# Block requests to specific domains (and their subdomains)
+page = DynamicFetcher.fetch('https://example.com', blocked_domains={"ads.example.com", "tracker.net"})
+```
+
+### Network Control
+
+```python
+# Wait for network idle (Consider fetch to be finished when there are no network connections for at least 500 ms)
+page = DynamicFetcher.fetch('https://example.com', network_idle=True)
+
+# Custom timeout (in milliseconds)
+page = DynamicFetcher.fetch('https://example.com', timeout=30000)  # 30 seconds
+
+# Proxy support (It can also be a dictionary with only the keys 'server', 'username', and 'password'.)
+page = DynamicFetcher.fetch('https://example.com', proxy='http://username:password@host:port')
+```
+
+### Proxy Rotation
+
+```python
+from scrapling.fetchers import DynamicSession, ProxyRotator
+
+# Set up proxy rotation
+rotator = ProxyRotator([
+    "http://proxy1:8080",
+    "http://proxy2:8080",
+    "http://proxy3:8080",
+])
+
+# Use with session - rotates proxy automatically with each request
+with DynamicSession(proxy_rotator=rotator, headless=True) as session:
+    page1 = session.fetch('https://example1.com')
+    page2 = session.fetch('https://example2.com')
+
+    # Override rotator for a specific request
+    page3 = session.fetch('https://example3.com', proxy='http://specific-proxy:8080')
+```
+
+**Warning:** By default, all browser-based fetchers and sessions use a persistent browser context with a pool of tabs. However, since browsers can't set a proxy per tab, when you use a `ProxyRotator`, the fetcher will automatically open a separate context for each proxy, with one tab per context. Once the tab's job is done, both the tab and its context are closed.
+
+### Downloading Files
+
+```python
+page = DynamicFetcher.fetch('https://raw.githubusercontent.com/D4Vinci/Scrapling/main/images/main_cover.png')
+
+with open(file='main_cover.png', mode='wb') as f:
+    f.write(page.body)
+```
+
+The `body` attribute of the `Response` object always returns `bytes`.
+
+### Browser Automation
+This is where your knowledge about [Playwright's Page API](https://playwright.dev/python/docs/api/class-page) comes into play. The function you pass here takes the page object from Playwright's API, performs the desired action, and then the fetcher continues.
+
+This function is executed immediately after waiting for `network_idle` (if enabled) and before waiting for the `wait_selector` argument, allowing it to be used for purposes beyond automation. You can alter the page as you want.
+
+In the example below, I used the pages' [mouse events](https://playwright.dev/python/docs/api/class-mouse) to scroll the page with the mouse wheel, then move the mouse.
+```python
+from playwright.sync_api import Page
+
+def scroll_page(page: Page):
+    page.mouse.wheel(10, 0)
+    page.mouse.move(100, 400)
+    page.mouse.up()
+
+page = DynamicFetcher.fetch('https://example.com', page_action=scroll_page)
+```
+Of course, if you use the async fetch version, the function must also be async.
+```python
+from playwright.async_api import Page
+
+async def scroll_page(page: Page):
+   await page.mouse.wheel(10, 0)
+   await page.mouse.move(100, 400)
+   await page.mouse.up()
+
+page = await DynamicFetcher.async_fetch('https://example.com', page_action=scroll_page)
+```
+
+### Wait Conditions
+
+```python
+# Wait for the selector
+page = DynamicFetcher.fetch(
+    'https://example.com',
+    wait_selector='h1',
+    wait_selector_state='visible'
+)
+```
+This is the last wait the fetcher will do before returning the response (if enabled). You pass a CSS selector to the `wait_selector` argument, and the fetcher will wait for the state you passed in the `wait_selector_state` argument to be fulfilled. If you didn't pass a state, the default would be `attached`, which means it will wait for the element to be present in the DOM.
+
+After that, if `load_dom` is enabled (the default), the fetcher will check again to see if all JavaScript files are loaded and executed (in the `domcontentloaded` state) or continue waiting. If you have enabled `network_idle`, the fetcher will wait for `network_idle` to be fulfilled again, as explained above.
+
+The states the fetcher can wait for can be any of the following ([source](https://playwright.dev/python/docs/api/class-page#page-wait-for-selector)):
+
+- `attached`: Wait for an element to be present in the DOM.
+- `detached`: Wait for an element to not be present in the DOM.
+- `visible`: wait for an element to have a non-empty bounding box and no `visibility:hidden`. Note that an element without any content or with `display:none` has an empty bounding box and is not considered visible.
+- `hidden`: wait for an element to be either detached from the DOM, or have an empty bounding box, or `visibility:hidden`. This is opposite to the `'visible'` option.
+
+### Some Stealth Features
+
+```python
+page = DynamicFetcher.fetch(
+    'https://example.com',
+    google_search=True,
+    useragent='Mozilla/5.0...',  # Custom user agent
+    locale='en-US',  # Set browser locale
+)
+```
+
+### General example
+```python
+from scrapling.fetchers import DynamicFetcher
+
+def scrape_dynamic_content():
+    # Use Playwright for JavaScript content
+    page = DynamicFetcher.fetch(
+        'https://example.com/dynamic',
+        network_idle=True,
+        wait_selector='.content'
+    )
+    
+    # Extract dynamic content
+    content = page.css('.content')
+    
+    return {
+        'title': content.css('h1::text').get(),
+        'items': [
+            item.text for item in content.css('.item')
+        ]
+    }
+```
+
+## Session Management
+
+To keep the browser open until you make multiple requests with the same configuration, use `DynamicSession`/`AsyncDynamicSession` classes. Those classes can accept all the arguments that the `fetch` function can take, which enables you to specify a config for the entire session.
+
+```python
+from scrapling.fetchers import DynamicSession
+
+# Create a session with default configuration
+with DynamicSession(
+    headless=True,
+    disable_resources=True,
+    real_chrome=True
+) as session:
+    # Make multiple requests with the same browser instance
+    page1 = session.fetch('https://example1.com')
+    page2 = session.fetch('https://example2.com')
+    page3 = session.fetch('https://dynamic-site.com')
+    
+    # All requests reuse the same tab on the same browser instance
+```
+
+### Async Session Usage
+
+```python
+import asyncio
+from scrapling.fetchers import AsyncDynamicSession
+
+async def scrape_multiple_sites():
+    async with AsyncDynamicSession(
+        network_idle=True,
+        timeout=30000,
+        max_pages=3
+    ) as session:
+        # Make async requests with shared browser configuration
+        pages = await asyncio.gather(
+            session.fetch('https://spa-app1.com'),
+            session.fetch('https://spa-app2.com'),
+            session.fetch('https://dynamic-content.com')
+        )
+        return pages
+```
+
+You may have noticed the `max_pages` argument. This is a new argument that enables the fetcher to create a **rotating pool of Browser tabs**. Instead of using a single tab for all your requests, you set a limit on the maximum number of pages that can be displayed at once. With each request, the library will close all tabs that have finished their task and check if the number of the current tabs is lower than the maximum allowed number of pages/tabs, then:
+
+1. If you are within the allowed range, the fetcher will create a new tab for you, and then all is as normal.
+2. Otherwise, it will keep checking every subsecond if creating a new tab is allowed or not for 60 seconds, then raise `TimeoutError`. This can happen when the website you are fetching becomes unresponsive.
+
+This logic allows for multiple URLs to be fetched at the same time in the same browser, which saves a lot of resources, but most importantly, is so fast :)
+
+In versions 0.3 and 0.3.1, the pool was reusing finished tabs to save more resources/time. That logic proved flawed, as it's nearly impossible to protect pages/tabs from contamination by the previous configuration used in the request before this one.
+
+### Session Benefits
+
+- **Browser reuse**: Much faster subsequent requests by reusing the same browser instance.
+- **Cookie persistence**: Automatic cookie and session state handling as any browser does automatically.
+- **Consistent fingerprint**: Same browser fingerprint across all requests.
+- **Memory efficiency**: Better resource usage compared to launching new browsers with each fetch.
+
+## When to Use
+
+Use DynamicFetcher when:
+
+- Need browser automation
+- Want multiple browser options
+- Using a real Chrome browser
+- Need custom browser config
+- Want a few stealth options 
+
+If you want more stealth and control without much config, check out the [StealthyFetcher](stealthy.md).

agent-skill/Scrapling-Skill/references/fetching/static.md

@@ -0,0 +1,432 @@
+# HTTP requests
+
+The `Fetcher` class provides rapid and lightweight HTTP requests using the high-performance `curl_cffi` library with a lot of stealth capabilities.
+
+## Basic Usage
+Import the Fetcher (same import pattern for all fetchers):
+
+```python
+>>> from scrapling.fetchers import Fetcher
+```
+Check out how to configure the parsing options [here](choosing.md#parser-configuration-in-all-fetchers)
+
+### Shared arguments
+All methods for making requests here share some arguments, so let's discuss them first.
+
+- **url**: The targeted URL
+- **stealthy_headers**: If enabled (default), it creates and adds real browser headers. It also sets the referer header as if this request came from a Google search of the URL's domain.
+- **follow_redirects**: As the name implies, tell the fetcher to follow redirections. **Enabled by default**
+- **timeout**: The number of seconds to wait for each request to be finished. **Defaults to 30 seconds**.
+- **retries**: The number of retries that the fetcher will do for failed requests. **Defaults to three retries**.
+- **retry_delay**: Number of seconds to wait between retry attempts. **Defaults to 1 second**.
+- **impersonate**: Impersonate specific browsers' TLS fingerprints. Accepts browser strings or a list of them like `"chrome110"`, `"firefox102"`, `"safari15_5"` to use specific versions or `"chrome"`, `"firefox"`, `"safari"`, `"edge"` to automatically use the latest version available. This makes your requests appear to come from real browsers at the TLS level. If you pass it a list of strings, it will choose a random one with each request. **Defaults to the latest available Chrome version.**
+- **http3**: Use HTTP/3 protocol for requests. **Defaults to False**. It might be problematic if used with `impersonate`.
+- **cookies**: Cookies to use in the request. Can be a dictionary of `name→value` or a list of dictionaries.
+- **proxy**: As the name implies, the proxy for this request is used to route all traffic (HTTP and HTTPS). The format accepted here is `http://username:password@localhost:8030`.
+- **proxy_auth**: HTTP basic auth for proxy, tuple of (username, password).
+- **proxies**: Dict of proxies to use. Format: `{"http": proxy_url, "https": proxy_url}`.
+- **proxy_rotator**: A `ProxyRotator` instance for automatic proxy rotation. Cannot be combined with `proxy` or `proxies`.
+- **headers**: Headers to include in the request. Can override any header generated by the `stealthy_headers` argument
+- **max_redirects**: Maximum number of redirects. **Defaults to 30**, use -1 for unlimited.
+- **verify**: Whether to verify HTTPS certificates. **Defaults to True**.
+- **cert**: Tuple of (cert, key) filenames for the client certificate.
+- **selector_config**: A dictionary of custom parsing arguments to be used when creating the final `Selector`/`Response` class.
+
+**Notes:**
+1. The currently available browsers to impersonate are (`"edge"`, `"chrome"`, `"chrome_android"`, `"safari"`, `"safari_beta"`, `"safari_ios"`, `"safari_ios_beta"`, `"firefox"`, `"tor"`)
+2. The available browsers to impersonate, along with their corresponding versions, are automatically displayed in the argument autocompletion and updated with each `curl_cffi` update.
+3. If any of the arguments `impersonate` or `stealthy_headers` are enabled, the fetchers will automatically generate real browser headers that match the browser version used.
+
+Other than this, for further customization, you can pass any arguments that `curl_cffi` supports for any method if that method doesn't already support them.
+
+### HTTP Methods
+There are additional arguments for each method, depending on the method, such as `params` for GET requests and `data`/`json` for POST/PUT/DELETE requests.
+
+Examples are the best way to explain this:
+
+> Hence: `OPTIONS` and `HEAD` methods are not supported.
+#### GET
+```python
+>>> from scrapling.fetchers import Fetcher
+>>> # Basic GET
+>>> page = Fetcher.get('https://example.com')
+>>> page = Fetcher.get('https://scrapling.requestcatcher.com/get', stealthy_headers=True, follow_redirects=True)
+>>> page = Fetcher.get('https://scrapling.requestcatcher.com/get', proxy='http://username:password@localhost:8030')
+>>> # With parameters
+>>> page = Fetcher.get('https://example.com/search', params={'q': 'query'})
+>>>
+>>> # With headers
+>>> page = Fetcher.get('https://example.com', headers={'User-Agent': 'Custom/1.0'})
+>>> # Basic HTTP authentication
+>>> page = Fetcher.get("https://example.com", auth=("my_user", "password123"))
+>>> # Browser impersonation
+>>> page = Fetcher.get('https://example.com', impersonate='chrome')
+>>> # HTTP/3 support
+>>> page = Fetcher.get('https://example.com', http3=True)
+```
+And for asynchronous requests, it's a small adjustment 
+```python
+>>> from scrapling.fetchers import AsyncFetcher
+>>> # Basic GET
+>>> page = await AsyncFetcher.get('https://example.com')
+>>> page = await AsyncFetcher.get('https://scrapling.requestcatcher.com/get', stealthy_headers=True, follow_redirects=True)
+>>> page = await AsyncFetcher.get('https://scrapling.requestcatcher.com/get', proxy='http://username:password@localhost:8030')
+>>> # With parameters
+>>> page = await AsyncFetcher.get('https://example.com/search', params={'q': 'query'})
+>>>
+>>> # With headers
+>>> page = await AsyncFetcher.get('https://example.com', headers={'User-Agent': 'Custom/1.0'})
+>>> # Basic HTTP authentication
+>>> page = await AsyncFetcher.get("https://example.com", auth=("my_user", "password123"))
+>>> # Browser impersonation
+>>> page = await AsyncFetcher.get('https://example.com', impersonate='chrome110')
+>>> # HTTP/3 support
+>>> page = await AsyncFetcher.get('https://example.com', http3=True)
+```
+The `page` object in all cases is a [Response](choosing.md#response-object) object, which is a [Selector](parsing/main_classes.md#selector), so you can use it directly
+```python
+>>> page.css('.something.something')
+
+>>> page = Fetcher.get('https://api.github.com/events')
+>>> page.json()
+[{'id': '<redacted>',
+  'type': 'PushEvent',
+  'actor': {'id': '<redacted>',
+   'login': '<redacted>',
+   'display_login': '<redacted>',
+   'gravatar_id': '',
+   'url': 'https://api.github.com/users/<redacted>',
+   'avatar_url': 'https://avatars.githubusercontent.com/u/<redacted>'},
+  'repo': {'id': '<redacted>',
+...
+```
+#### POST
+```python
+>>> from scrapling.fetchers import Fetcher
+>>> # Basic POST
+>>> page = Fetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, params={'q': 'query'})
+>>> page = Fetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, stealthy_headers=True, follow_redirects=True)
+>>> page = Fetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, proxy='http://username:password@localhost:8030', impersonate="chrome")
+>>> # Another example of form-encoded data
+>>> page = Fetcher.post('https://example.com/submit', data={'username': 'user', 'password': 'pass'}, http3=True)
+>>> # JSON data
+>>> page = Fetcher.post('https://example.com/api', json={'key': 'value'})
+```
+And for asynchronous requests, it's a small adjustment
+```python
+>>> from scrapling.fetchers import AsyncFetcher
+>>> # Basic POST
+>>> page = await AsyncFetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'})
+>>> page = await AsyncFetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, stealthy_headers=True, follow_redirects=True)
+>>> page = await AsyncFetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, proxy='http://username:password@localhost:8030', impersonate="chrome")
+>>> # Another example of form-encoded data
+>>> page = await AsyncFetcher.post('https://example.com/submit', data={'username': 'user', 'password': 'pass'}, http3=True)
+>>> # JSON data
+>>> page = await AsyncFetcher.post('https://example.com/api', json={'key': 'value'})
+```
+#### PUT
+```python
+>>> from scrapling.fetchers import Fetcher
+>>> # Basic PUT
+>>> page = Fetcher.put('https://example.com/update', data={'status': 'updated'})
+>>> page = Fetcher.put('https://example.com/update', data={'status': 'updated'}, stealthy_headers=True, follow_redirects=True, impersonate="chrome")
+>>> page = Fetcher.put('https://example.com/update', data={'status': 'updated'}, proxy='http://username:password@localhost:8030')
+>>> # Another example of form-encoded data
+>>> page = Fetcher.put("https://scrapling.requestcatcher.com/put", data={'key': ['value1', 'value2']})
+```
+And for asynchronous requests, it's a small adjustment
+```python
+>>> from scrapling.fetchers import AsyncFetcher
+>>> # Basic PUT
+>>> page = await AsyncFetcher.put('https://example.com/update', data={'status': 'updated'})
+>>> page = await AsyncFetcher.put('https://example.com/update', data={'status': 'updated'}, stealthy_headers=True, follow_redirects=True, impersonate="chrome")
+>>> page = await AsyncFetcher.put('https://example.com/update', data={'status': 'updated'}, proxy='http://username:password@localhost:8030')
+>>> # Another example of form-encoded data
+>>> page = await AsyncFetcher.put("https://scrapling.requestcatcher.com/put", data={'key': ['value1', 'value2']})
+```
+
+#### DELETE
+```python
+>>> from scrapling.fetchers import Fetcher
+>>> page = Fetcher.delete('https://example.com/resource/123')
+>>> page = Fetcher.delete('https://example.com/resource/123', stealthy_headers=True, follow_redirects=True, impersonate="chrome")
+>>> page = Fetcher.delete('https://example.com/resource/123', proxy='http://username:password@localhost:8030')
+```
+And for asynchronous requests, it's a small adjustment
+```python
+>>> from scrapling.fetchers import AsyncFetcher
+>>> page = await AsyncFetcher.delete('https://example.com/resource/123')
+>>> page = await AsyncFetcher.delete('https://example.com/resource/123', stealthy_headers=True, follow_redirects=True, impersonate="chrome")
+>>> page = await AsyncFetcher.delete('https://example.com/resource/123', proxy='http://username:password@localhost:8030')
+```
+
+## Session Management
+
+For making multiple requests with the same configuration, use the `FetcherSession` class. It can be used in both synchronous and asynchronous code without issue; the class automatically detects and changes the session type, without requiring a different import.
+
+The `FetcherSession` class can accept nearly all the arguments that the methods can take, which enables you to specify a config for the entire session and later choose a different config for one of the requests effortlessly, as you will see in the following examples.
+
+```python
+from scrapling.fetchers import FetcherSession
+
+# Create a session with default configuration
+with FetcherSession(
+    impersonate='chrome',
+    http3=True,
+    stealthy_headers=True,
+    timeout=30,
+    retries=3
+) as session:
+    # Make multiple requests with the same settings and the same cookies
+    page1 = session.get('https://scrapling.requestcatcher.com/get')
+    page2 = session.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'})
+    page3 = session.get('https://api.github.com/events')
+
+    # All requests share the same session and connection pool
+```
+
+You can also use a `ProxyRotator` with `FetcherSession` for automatic proxy rotation across requests:
+
+```python
+from scrapling.fetchers import FetcherSession, ProxyRotator
+
+rotator = ProxyRotator([
+    'http://proxy1:8080',
+    'http://proxy2:8080',
+    'http://proxy3:8080',
+])
+
+with FetcherSession(proxy_rotator=rotator, impersonate='chrome') as session:
+    # Each request automatically uses the next proxy in rotation
+    page1 = session.get('https://example.com/page1')
+    page2 = session.get('https://example.com/page2')
+
+    # You can check which proxy was used via the response metadata
+    print(page1.meta['proxy'])
+```
+
+You can also override the session proxy (or rotator) for a specific request by passing `proxy=` directly to the request method:
+
+```python
+with FetcherSession(proxy='http://default-proxy:8080') as session:
+    # Uses the session proxy
+    page1 = session.get('https://example.com/page1')
+
+    # Override the proxy for this specific request
+    page2 = session.get('https://example.com/page2', proxy='http://special-proxy:9090')
+```
+
+And here's an async example
+
+```python
+async with FetcherSession(impersonate='firefox', http3=True) as session:
+    # All standard HTTP methods available
+    response = await session.get('https://example.com')
+    response = await session.post('https://scrapling.requestcatcher.com/post', json={'data': 'value'})
+    response = await session.put('https://scrapling.requestcatcher.com/put', data={'update': 'info'})
+    response = await session.delete('https://scrapling.requestcatcher.com/delete')
+```
+or better
+```python
+import asyncio
+from scrapling.fetchers import FetcherSession
+
+# Async session usage
+async with FetcherSession(impersonate="safari") as session:
+    urls = ['https://example.com/page1', 'https://example.com/page2']
+
+    tasks = [
+        session.get(url) for url in urls
+    ]
+
+    pages = await asyncio.gather(*tasks)
+```
+
+The `Fetcher` class uses `FetcherSession` to create a temporary session with each request you make.
+
+### Session Benefits
+
+- **A lot faster**: 10 times faster than creating a single session for each request
+- **Cookie persistence**: Automatic cookie handling across requests
+- **Resource efficiency**: Better memory and CPU usage for multiple requests
+- **Centralized configuration**: Single place to manage request settings
+
+## Examples
+Some well-rounded examples to aid newcomers to Web Scraping
+
+### Basic HTTP Request
+
+```python
+from scrapling.fetchers import Fetcher
+
+# Make a request
+page = Fetcher.get('https://example.com')
+
+# Check the status
+if page.status == 200:
+    # Extract title
+    title = page.css('title::text').get()
+    print(f"Page title: {title}")
+
+    # Extract all links
+    links = page.css('a::attr(href)').getall()
+    print(f"Found {len(links)} links")
+```
+
+### Product Scraping
+
+```python
+from scrapling.fetchers import Fetcher
+
+def scrape_products():
+    page = Fetcher.get('https://example.com/products')
+    
+    # Find all product elements
+    products = page.css('.product')
+    
+    results = []
+    for product in products:
+        results.append({
+            'title': product.css('.title::text').get(),
+            'price': product.css('.price::text').re_first(r'\d+\.\d{2}'),
+            'description': product.css('.description::text').get(),
+            'in_stock': product.has_class('in-stock')
+        })
+    
+    return results
+```
+
+### Downloading Files
+
+```python
+from scrapling.fetchers import Fetcher
+
+page = Fetcher.get('https://raw.githubusercontent.com/D4Vinci/Scrapling/main/images/main_cover.png')
+with open(file='main_cover.png', mode='wb') as f:
+   f.write(page.body)
+```
+
+### Pagination Handling
+
+```python
+from scrapling.fetchers import Fetcher
+
+def scrape_all_pages():
+    base_url = 'https://example.com/products?page={}'
+    page_num = 1
+    all_products = []
+    
+    while True:
+        # Get current page
+        page = Fetcher.get(base_url.format(page_num))
+        
+        # Find products
+        products = page.css('.product')
+        if not products:
+            break
+            
+        # Process products
+        for product in products:
+            all_products.append({
+                'name': product.css('.name::text').get(),
+                'price': product.css('.price::text').get()
+            })
+            
+        # Next page
+        page_num += 1
+        
+    return all_products
+```
+
+### Form Submission
+
+```python
+from scrapling.fetchers import Fetcher
+
+# Submit login form
+response = Fetcher.post(
+    'https://example.com/login',
+    data={
+        'username': 'user@example.com',
+        'password': 'password123'
+    }
+)
+
+# Check login success
+if response.status == 200:
+    # Extract user info
+    user_name = response.css('.user-name::text').get()
+    print(f"Logged in as: {user_name}")
+```
+
+### Table Extraction
+
+```python
+from scrapling.fetchers import Fetcher
+
+def extract_table():
+    page = Fetcher.get('https://example.com/data')
+    
+    # Find table
+    table = page.css('table')[0]
+    
+    # Extract headers
+    headers = [
+        th.text for th in table.css('thead th')
+    ]
+    
+    # Extract rows
+    rows = []
+    for row in table.css('tbody tr'):
+        cells = [td.text for td in row.css('td')]
+        rows.append(dict(zip(headers, cells)))
+        
+    return rows
+```
+
+### Navigation Menu
+
+```python
+from scrapling.fetchers import Fetcher
+
+def extract_menu():
+    page = Fetcher.get('https://example.com')
+    
+    # Find navigation
+    nav = page.css('nav')[0]
+    
+    menu = {}
+    for item in nav.css('li'):
+        links = item.css('a')
+        if links:
+            link = links[0]
+            menu[link.text] = {
+                'url': link['href'],
+                'has_submenu': bool(item.css('.submenu'))
+            }
+            
+    return menu
+```
+
+## When to Use
+
+Use `Fetcher` when:
+
+- Need rapid HTTP requests.
+- Want minimal overhead.
+- Don't need JavaScript execution (the website can be scraped through requests).
+- Need some stealth features (ex, the targeted website is using protection but doesn't use JavaScript challenges).
+
+Use `FetcherSession` when:
+
+- Making multiple requests to the same or different sites.
+- Need to maintain cookies/authentication between requests.
+- Want connection pooling for better performance.
+- Require consistent configuration across requests.
+- Working with APIs that require a session state.
+
+Use other fetchers when:
+
+- Need browser automation.
+- Need advanced anti-bot/stealth capabilities.
+- Need JavaScript support or interacting with dynamic content

agent-skill/Scrapling-Skill/references/fetching/stealthy.md

@@ -0,0 +1,251 @@
+# StealthyFetcher
+
+`StealthyFetcher` is a stealthy browser-based fetcher similar to [DynamicFetcher](dynamic.md), using [Playwright's API](https://playwright.dev/python/docs/intro). It adds advanced anti-bot protection bypass capabilities, most handled automatically. It shares the same browser automation model as `DynamicFetcher`, using [Playwright's Page API](https://playwright.dev/python/docs/api/class-page) for page interaction.
+
+## Basic Usage
+You have one primary way to import this Fetcher, which is the same for all fetchers.
+
+```python
+>>> from scrapling.fetchers import StealthyFetcher
+```
+Check out how to configure the parsing options [here](choosing.md#parser-configuration-in-all-fetchers)
+
+**Note:** The async version of the `fetch` method is `async_fetch`.
+
+## What does it do?
+
+The `StealthyFetcher` class is a stealthy version of the [DynamicFetcher](dynamic.md) class, and here are some of the things it does:
+
+1. It easily bypasses all types of Cloudflare's Turnstile/Interstitial automatically. 
+2. It bypasses CDP runtime leaks and WebRTC leaks.
+3. It isolates JS execution, removes many Playwright fingerprints, and stops detection through some of the known behaviors that bots do.
+4. It generates canvas noise to prevent fingerprinting through canvas.
+5. It automatically patches known methods to detect running in headless mode and provides an option to defeat timezone mismatch attacks.
+6. It makes requests look as if they came from Google's search page of the requested website.
+7. and other anti-protection options...
+
+## Full list of arguments
+Scrapling provides many options with this fetcher and its session classes. Before jumping to the [examples](#examples), here's the full list of arguments
+
+
+|      Argument       | Description                                                                                                                                                                                                                         | Optional |
+|:-------------------:|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------:|
+|         url         | Target url                                                                                                                                                                                                                          |    ❌     |
+|      headless       | Pass `True` to run the browser in headless/hidden (**default**) or `False` for headful/visible mode.                                                                                                                                |    ✔️    |
+|  disable_resources  | Drop requests for unnecessary resources for a speed boost. Requests dropped are of type `font`, `image`, `media`, `beacon`, `object`, `imageset`, `texttrack`, `websocket`, `csp_report`, and `stylesheet`.                         |    ✔️    |
+|       cookies       | Set cookies for the next request.                                                                                                                                                                                                   |    ✔️    |
+|      useragent      | Pass a useragent string to be used. **Otherwise, the fetcher will generate and use a real Useragent of the same browser and version.**                                                                                              |    ✔️    |
+|    network_idle     | Wait for the page until there are no network connections for at least 500 ms.                                                                                                                                                       |    ✔️    |
+|      load_dom       | Enabled by default, wait for all JavaScript on page(s) to fully load and execute (wait for the `domcontentloaded` state).                                                                                                           |    ✔️    |
+|       timeout       | The timeout (milliseconds) used in all operations and waits through the page. The default is 30,000 ms (30 seconds).                                                                                                                |    ✔️    |
+|        wait         | The time (milliseconds) the fetcher will wait after everything finishes before closing the page and returning the `Response` object.                                                                                                |    ✔️    |
+|     page_action     | Added for automation. Pass a function that takes the `page` object and does the necessary automation.                                                                                                                               |    ✔️    |
+|    wait_selector    | Wait for a specific css selector to be in a specific state.                                                                                                                                                                         |    ✔️    |
+|     init_script     | An absolute path to a JavaScript file to be executed on page creation for all pages in this session.                                                                                                                                |    ✔️    |
+| wait_selector_state | Scrapling will wait for the given state to be fulfilled for the selector given with `wait_selector`. _Default state is `attached`._                                                                                                 |    ✔️    |
+|    google_search    | Enabled by default, Scrapling will set the referer header as if this request came from a Google search of this website's domain name.                                                                                               |    ✔️    |
+|    extra_headers    | A dictionary of extra headers to add to the request. _The referer set by the `google_search` argument takes priority over the referer set here if used together._                                                                   |    ✔️    |
+|        proxy        | The proxy to be used with requests. It can be a string or a dictionary with only the keys 'server', 'username', and 'password'.                                                                                                     |    ✔️    |
+|     real_chrome     | If you have a Chrome browser installed on your device, enable this, and the Fetcher will launch and use an instance of your browser.                                                                                                |    ✔️    |
+|       locale        | Specify user locale, for example, `en-GB`, `de-DE`, etc. Locale will affect `navigator.language` value, `Accept-Language` request header value, as well as number and date formatting rules. Defaults to the system default locale. |    ✔️    |
+|     timezone_id     | Changes the timezone of the browser. Defaults to the system timezone.                                                                                                                                                               |    ✔️    |
+|       cdp_url       | Instead of launching a new browser instance, connect to this CDP URL to control real browsers through CDP.                                                                                                                          |    ✔️    |
+|    user_data_dir    | Path to a User Data Directory, which stores browser session data like cookies and local storage. The default is to create a temporary directory. **Only Works with sessions**                                                       |    ✔️    |
+|     extra_flags     | A list of additional browser flags to pass to the browser on launch.                                                                                                                                                                |    ✔️    |
+|  solve_cloudflare   | When enabled, fetcher solves all types of Cloudflare's Turnstile/Interstitial challenges before returning the response to you.                                                                                                      |    ✔️    |
+|    block_webrtc     | Forces WebRTC to respect proxy settings to prevent local IP address leak.                                                                                                                                                           |    ✔️    |
+|     hide_canvas     | Add random noise to canvas operations to prevent fingerprinting.                                                                                                                                                                    |    ✔️    |
+|     allow_webgl     | Enabled by default. Disabling it disables WebGL and WebGL 2.0 support entirely. Disabling WebGL is not recommended, as many WAFs now check if WebGL is enabled.                                                                     |    ✔️    |
+|   additional_args   | Additional arguments to be passed to Playwright's context as additional settings, and they take higher priority than Scrapling's settings.                                                                                          |    ✔️    |
+|   selector_config   | A dictionary of custom parsing arguments to be used when creating the final `Selector`/`Response` class.                                                                                                                            |    ✔️    |
+|   blocked_domains   | A set of domain names to block requests to. Subdomains are also matched (e.g., `"example.com"` blocks `"sub.example.com"` too).                                                                                                     |    ✔️    |
+|    proxy_rotator    | A `ProxyRotator` instance for automatic proxy rotation. Cannot be combined with `proxy`.                                                                                                                                            |    ✔️    |
+|       retries       | Number of retry attempts for failed requests. Defaults to 3.                                                                                                                                                                        |    ✔️    |
+|     retry_delay     | Seconds to wait between retry attempts. Defaults to 1.                                                                                                                                                                              |    ✔️    |
+
+In session classes, all these arguments can be set globally for the session. Still, you can configure each request individually by passing some of the arguments here that can be configured on the browser tab level like: `google_search`, `timeout`, `wait`, `page_action`, `extra_headers`, `disable_resources`, `wait_selector`, `wait_selector_state`, `network_idle`, `load_dom`, `solve_cloudflare`, `blocked_domains`, `proxy`, and `selector_config`.
+
+**Notes:**
+
+1. It's basically the same arguments as [DynamicFetcher](dynamic.md) class, but with these additional arguments: `solve_cloudflare`, `block_webrtc`, `hide_canvas`, and `allow_webgl`.
+2. The `disable_resources` option made requests ~25% faster in tests for some websites and can help save proxy usage, but be careful with it, as it can cause some websites to never finish loading.
+3. The `google_search` argument is enabled by default for all requests, making the request appear to come from a Google search page. So, a request for `https://example.com` will set the referer to `https://www.google.com/search?q=example`. Also, if used together, it takes priority over the referer set by the `extra_headers` argument.
+4. If you didn't set a user agent and enabled headless mode, the fetcher will generate a real user agent for the same browser version and use it. If you didn't set a user agent and didn't enable headless mode, the fetcher will use the browser's default user agent, which is the same as in standard browsers in the latest versions.
+
+## Examples
+
+### Cloudflare and stealth options
+
+```python
+# Automatic Cloudflare solver
+page = StealthyFetcher.fetch('https://nopecha.com/demo/cloudflare', solve_cloudflare=True)
+
+# Works with other stealth options
+page = StealthyFetcher.fetch(
+    'https://protected-site.com',
+    solve_cloudflare=True,
+    block_webrtc=True,
+    real_chrome=True,
+    hide_canvas=True,
+    google_search=True,
+    proxy='http://username:password@host:port',  # It can also be a dictionary with only the keys 'server', 'username', and 'password'.
+)
+```
+
+The `solve_cloudflare` parameter enables automatic detection and solving all types of Cloudflare's Turnstile/Interstitial challenges:
+
+- JavaScript challenges (managed)
+- Interactive challenges (clicking verification boxes)
+- Invisible challenges (automatic background verification)
+
+And even solves the custom pages with embedded captcha.
+
+**Important notes:**
+
+1. Sometimes, with websites that use custom implementations, you will need to use `wait_selector` to make sure Scrapling waits for the real website content to be loaded after solving the captcha. Some websites can be the real definition of an edge case while we are trying to make the solver as generic as possible.
+2. The timeout should be at least 60 seconds when using the Cloudflare solver for sufficient challenge-solving time.
+3. This feature works seamlessly with proxies and other stealth options.
+
+### Browser Automation
+This is where your knowledge about [Playwright's Page API](https://playwright.dev/python/docs/api/class-page) comes into play. The function you pass here takes the page object from Playwright's API, performs the desired action, and then the fetcher continues.
+
+This function is executed immediately after waiting for `network_idle` (if enabled) and before waiting for the `wait_selector` argument, allowing it to be used for purposes beyond automation. You can alter the page as you want.
+
+In the example below, I used the pages' [mouse events](https://playwright.dev/python/docs/api/class-mouse) to scroll the page with the mouse wheel, then move the mouse.
+```python
+from playwright.sync_api import Page
+
+def scroll_page(page: Page):
+    page.mouse.wheel(10, 0)
+    page.mouse.move(100, 400)
+    page.mouse.up()
+
+page = StealthyFetcher.fetch('https://example.com', page_action=scroll_page)
+```
+Of course, if you use the async fetch version, the function must also be async.
+```python
+from playwright.async_api import Page
+
+async def scroll_page(page: Page):
+   await page.mouse.wheel(10, 0)
+   await page.mouse.move(100, 400)
+   await page.mouse.up()
+
+page = await StealthyFetcher.async_fetch('https://example.com', page_action=scroll_page)
+```
+
+### Wait Conditions
+```python
+# Wait for the selector
+page = StealthyFetcher.fetch(
+    'https://example.com',
+    wait_selector='h1',
+    wait_selector_state='visible'
+)
+```
+This is the last wait the fetcher will do before returning the response (if enabled). You pass a CSS selector to the `wait_selector` argument, and the fetcher will wait for the state you passed in the `wait_selector_state` argument to be fulfilled. If you didn't pass a state, the default would be `attached`, which means it will wait for the element to be present in the DOM.
+
+After that, if `load_dom` is enabled (the default), the fetcher will check again to see if all JavaScript files are loaded and executed (in the `domcontentloaded` state) or continue waiting. If you have enabled `network_idle`, the fetcher will wait for `network_idle` to be fulfilled again, as explained above.
+
+The states the fetcher can wait for can be any of the following ([source](https://playwright.dev/python/docs/api/class-page#page-wait-for-selector)):
+
+- `attached`: Wait for an element to be present in the DOM.
+- `detached`: Wait for an element to not be present in the DOM.
+- `visible`: wait for an element to have a non-empty bounding box and no `visibility:hidden`. Note that an element without any content or with `display:none` has an empty bounding box and is not considered visible.
+- `hidden`: wait for an element to be either detached from the DOM, or have an empty bounding box, or `visibility:hidden`. This is opposite to the `'visible'` option.
+
+
+### Real-world example (Amazon)
+This is for educational purposes only; this example was generated by AI, which also shows how easy it is to work with Scrapling through AI
+```python
+def scrape_amazon_product(url):
+    # Use StealthyFetcher to bypass protection
+    page = StealthyFetcher.fetch(url)
+
+    # Extract product details
+    return {
+        'title': page.css('#productTitle::text').get().clean(),
+        'price': page.css('.a-price .a-offscreen::text').get(),
+        'rating': page.css('[data-feature-name="averageCustomerReviews"] .a-popover-trigger .a-color-base::text').get(),
+        'reviews_count': page.css('#acrCustomerReviewText::text').re_first(r'[\d,]+'),
+        'features': [
+            li.get().clean() for li in page.css('#feature-bullets li span::text')
+        ],
+        'availability': page.css('#availability')[0].get_all_text(strip=True),
+        'images': [
+            img.attrib['src'] for img in page.css('#altImages img')
+        ]
+    }
+```
+
+## Session Management
+
+To keep the browser open until you make multiple requests with the same configuration, use `StealthySession`/`AsyncStealthySession` classes. Those classes can accept all the arguments that the `fetch` function can take, which enables you to specify a config for the entire session.
+
+```python
+from scrapling.fetchers import StealthySession
+
+# Create a session with default configuration
+with StealthySession(
+    headless=True,
+    real_chrome=True,
+    block_webrtc=True,
+    solve_cloudflare=True
+) as session:
+    # Make multiple requests with the same browser instance
+    page1 = session.fetch('https://example1.com')
+    page2 = session.fetch('https://example2.com') 
+    page3 = session.fetch('https://nopecha.com/demo/cloudflare')
+    
+    # All requests reuse the same tab on the same browser instance
+```
+
+### Async Session Usage
+
+```python
+import asyncio
+from scrapling.fetchers import AsyncStealthySession
+
+async def scrape_multiple_sites():
+    async with AsyncStealthySession(
+        real_chrome=True,
+        block_webrtc=True,
+        solve_cloudflare=True,
+        timeout=60000,  # 60 seconds for Cloudflare challenges
+        max_pages=3
+    ) as session:
+        # Make async requests with shared browser configuration
+        pages = await asyncio.gather(
+            session.fetch('https://site1.com'),
+            session.fetch('https://site2.com'), 
+            session.fetch('https://protected-site.com')
+        )
+        return pages
+```
+
+You may have noticed the `max_pages` argument. This is a new argument that enables the fetcher to create a **rotating pool of Browser tabs**. Instead of using a single tab for all your requests, you set a limit on the maximum number of pages that can be displayed at once. With each request, the library will close all tabs that have finished their task and check if the number of the current tabs is lower than the maximum allowed number of pages/tabs, then:
+
+1. If you are within the allowed range, the fetcher will create a new tab for you, and then all is as normal.
+2. Otherwise, it will keep checking every subsecond if creating a new tab is allowed or not for 60 seconds, then raise `TimeoutError`. This can happen when the website you are fetching becomes unresponsive.
+
+This logic allows for multiple URLs to be fetched at the same time in the same browser, which saves a lot of resources, but most importantly, is so fast :)
+
+In versions 0.3 and 0.3.1, the pool was reusing finished tabs to save more resources/time. That logic proved flawed, as it's nearly impossible to protect pages/tabs from contamination by the previous configuration used in the request before this one.
+
+### Session Benefits
+
+- **Browser reuse**: Much faster subsequent requests by reusing the same browser instance.
+- **Cookie persistence**: Automatic cookie and session state handling as any browser does automatically.
+- **Consistent fingerprint**: Same browser fingerprint across all requests.
+- **Memory efficiency**: Better resource usage compared to launching new browsers with each fetch.
+
+## When to Use
+
+Use StealthyFetcher when:
+
+- Bypassing anti-bot protection
+- Need a reliable browser fingerprint
+- Full JavaScript support needed
+- Want automatic stealth features
+- Need browser automation
+- Dealing with Cloudflare protection

agent-skill/Scrapling-Skill/references/mcp-server.md

@@ -0,0 +1,136 @@
+# Scrapling MCP Server
+
+The Scrapling MCP server exposes six web scraping tools over the MCP protocol. It supports CSS-selector-based content narrowing (reducing tokens by extracting only relevant elements before returning results) and three levels of scraping capability: plain HTTP, browser-rendered, and stealth (anti-bot bypass).
+
+All tools return a `ResponseModel` with fields: `status` (int), `content` (list of strings), `url` (str).
+
+## Tools
+
+### `get` -- HTTP request (single URL)
+
+Fast HTTP GET with browser fingerprint impersonation (TLS, headers). Suitable for static pages with no/low bot protection.
+
+**Key parameters:**
+
+| Parameter           | Type                               | Default      | Description                                                        |
+|---------------------|------------------------------------|--------------|--------------------------------------------------------------------|
+| `url`               | str                                | required     | URL to fetch                                                       |
+| `extraction_type`   | `"markdown"` / `"html"` / `"text"` | `"markdown"` | Output format                                                      |
+| `css_selector`      | str or null                        | null         | CSS selector to narrow content (applied after `main_content_only`) |
+| `main_content_only` | bool                               | true         | Restrict to `<body>` content                                       |
+| `impersonate`       | str                                | `"chrome"`   | Browser fingerprint to impersonate                                 |
+| `proxy`             | str or null                        | null         | Proxy URL, e.g. `"http://user:pass@host:port"`                     |
+| `proxy_auth`        | dict or null                       | null         | `{"username": "...", "password": "..."}`                           |
+| `auth`              | dict or null                       | null         | HTTP basic auth, same format as proxy_auth                         |
+| `timeout`           | number                             | 30           | Seconds before timeout                                             |
+| `retries`           | int                                | 3            | Retry attempts on failure                                          |
+| `retry_delay`       | int                                | 1            | Seconds between retries                                            |
+| `stealthy_headers`  | bool                               | true         | Generate realistic browser headers and Google-search referer       |
+| `http3`             | bool                               | false        | Use HTTP/3 (may conflict with `impersonate`)                       |
+| `follow_redirects`  | bool                               | true         | Follow HTTP redirects                                              |
+| `max_redirects`     | int                                | 30           | Max redirects (-1 for unlimited)                                   |
+| `headers`           | dict or null                       | null         | Custom request headers                                             |
+| `cookies`           | dict or null                       | null         | Request cookies                                                    |
+| `params`            | dict or null                       | null         | Query string parameters                                            |
+| `verify`            | bool                               | true         | Verify HTTPS certificates                                          |
+
+### `bulk_get` -- HTTP request (multiple URLs)
+
+Async concurrent version of `get`. Same parameters except `url` is replaced by `urls` (list of strings). All URLs are fetched in parallel. Returns a list of `ResponseModel`.
+
+### `fetch` -- Browser fetch (single URL)
+
+Opens a Chromium browser via Playwright to render JavaScript. Suitable for dynamic/SPA pages with no/low bot protection.
+
+**Key parameters (beyond shared ones):**
+
+| Parameter             | Type                | Default      | Description                                                                     |
+|-----------------------|---------------------|--------------|---------------------------------------------------------------------------------|
+| `url`                 | str                 | required     | URL to fetch                                                                    |
+| `extraction_type`     | str                 | `"markdown"` | `"markdown"` / `"html"` / `"text"`                                              |
+| `css_selector`        | str or null         | null         | Narrow content before extraction                                                |
+| `main_content_only`   | bool                | true         | Restrict to `<body>`                                                            |
+| `headless`            | bool                | true         | Run browser hidden (true) or visible (false)                                    |
+| `proxy`               | str or dict or null | null         | String URL or `{"server": "...", "username": "...", "password": "..."}`         |
+| `timeout`             | number              | 30000        | Timeout in **milliseconds**                                                     |
+| `wait`                | number              | 0            | Extra wait (ms) after page load before extraction                               |
+| `wait_selector`       | str or null         | null         | CSS selector to wait for before extraction                                      |
+| `wait_selector_state` | str                 | `"attached"` | State for wait_selector: `"attached"` / `"visible"` / `"hidden"` / `"detached"` |
+| `network_idle`        | bool                | false        | Wait until no network activity for 500ms                                        |
+| `disable_resources`   | bool                | false        | Block fonts, images, media, stylesheets, etc. for speed                         |
+| `google_search`       | bool                | true         | Set referer as if from Google search                                            |
+| `real_chrome`         | bool                | false        | Use locally installed Chrome instead of bundled Chromium                        |
+| `cdp_url`             | str or null         | null         | Connect to existing browser via CDP URL                                         |
+| `extra_headers`       | dict or null        | null         | Additional request headers                                                      |
+| `useragent`           | str or null         | null         | Custom user-agent (auto-generated if null)                                      |
+| `cookies`             | list or null        | null         | Playwright-format cookies                                                       |
+| `timezone_id`         | str or null         | null         | Browser timezone, e.g. `"America/New_York"`                                     |
+| `locale`              | str or null         | null         | Browser locale, e.g. `"en-GB"`                                                  |
+
+### `bulk_fetch` -- Browser fetch (multiple URLs)
+
+Concurrent browser version of `fetch`. Same parameters except `url` is replaced by `urls` (list of strings). Each URL opens in a separate browser tab. Returns a list of `ResponseModel`.
+
+### `stealthy_fetch` -- Stealth browser fetch (single URL)
+
+Anti-bot bypass fetcher with fingerprint spoofing. Use this for sites with Cloudflare Turnstile/Interstitial or other strong protections.
+
+**Additional parameters (beyond those in `fetch`):**
+
+| Parameter          | Type         | Default | Description                                                      |
+|--------------------|--------------|---------|------------------------------------------------------------------|
+| `solve_cloudflare` | bool         | false   | Automatically solve Cloudflare Turnstile/Interstitial challenges |
+| `hide_canvas`      | bool         | false   | Add noise to canvas operations to prevent fingerprinting         |
+| `block_webrtc`     | bool         | false   | Force WebRTC to respect proxy settings (prevents IP leak)        |
+| `allow_webgl`      | bool         | true    | Keep WebGL enabled (disabling is detectable by WAFs)             |
+| `additional_args`  | dict or null | null    | Extra Playwright context args (overrides Scrapling defaults)     |
+
+All parameters from `fetch` are also accepted.
+
+### `bulk_stealthy_fetch` -- Stealth browser fetch (multiple URLs)
+
+Concurrent stealth version. Same parameters as `stealthy_fetch` except `url` is replaced by `urls` (list of strings). Returns a list of `ResponseModel`.
+
+## Tool selection guide
+
+| Scenario                                 | Tool                                                          |
+|------------------------------------------|---------------------------------------------------------------|
+| Static page, no bot protection           | `get`                                                         |
+| Multiple static pages                    | `bulk_get`                                                    |
+| JavaScript-rendered / SPA page           | `fetch`                                                       |
+| Multiple JS-rendered pages               | `bulk_fetch`                                                  |
+| Cloudflare or strong anti-bot protection | `stealthy_fetch` (with `solve_cloudflare=true` for Turnstile) |
+| Multiple protected pages                 | `bulk_stealthy_fetch`                                         |
+
+Start with `get` (fastest, lowest resource cost). Escalate to `fetch` if content requires JS rendering. Escalate to `stealthy_fetch` only if blocked.
+
+## Content extraction tips
+
+- Use `css_selector` to narrow results before they reach the model -- this saves significant tokens.
+- `main_content_only=true` (default) strips nav/footer by restricting to `<body>`.
+- `extraction_type="markdown"` (default) is best for readability. Use `"text"` for minimal output, `"html"` when structure matters.
+- If a `css_selector` matches multiple elements, all are returned in the `content` list.
+
+## Setup
+
+Start the server (stdio transport, used by most MCP clients):
+
+```bash
+scrapling mcp
+```
+
+Or with Streamable HTTP transport:
+
+```bash
+scrapling mcp --http
+scrapling mcp --http --host 127.0.0.1 --port 8000
+```
+
+Docker alternative:
+
+```bash
+docker pull pyd4vinci/scrapling
+docker run -i --rm scrapling mcp
+```
+
+The MCP server name when registering with a client is `ScraplingServer`. The command is the path to the `scrapling` binary and the argument is `mcp`.

agent-skill/Scrapling-Skill/references/migrating_from_beautifulsoup.md

@@ -0,0 +1,86 @@
+# Migrating from BeautifulSoup to Scrapling
+
+API comparison between BeautifulSoup and Scrapling. Scrapling is faster, provides equivalent parsing capabilities, and adds features for fetching and handling modern web pages.
+
+Some BeautifulSoup shortcuts have no direct Scrapling equivalent. Scrapling avoids those shortcuts to preserve performance.
+
+
+| Task                                                            | BeautifulSoup Code                                                                                            | Scrapling Code                                                                    |
+|-----------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------|
+| Parser import                                                   | `from bs4 import BeautifulSoup`                                                                               | `from scrapling.parser import Selector`                                           |
+| Parsing HTML from string                                        | `soup = BeautifulSoup(html, 'html.parser')`                                                                   | `page = Selector(html)`                                                           |
+| Finding a single element                                        | `element = soup.find('div', class_='example')`                                                                | `element = page.find('div', class_='example')`                                    |
+| Finding multiple elements                                       | `elements = soup.find_all('div', class_='example')`                                                           | `elements = page.find_all('div', class_='example')`                               |
+| Finding a single element (Example 2)                            | `element = soup.find('div', attrs={"class": "example"})`                                                      | `element = page.find('div', {"class": "example"})`                                |
+| Finding a single element (Example 3)                            | `element = soup.find(re.compile("^b"))`                                                                       | `element = page.find(re.compile("^b"))`<br/>`element = page.find_by_regex(r"^b")` |
+| Finding a single element (Example 4)                            | `element = soup.find(lambda e: len(list(e.children)) > 0)`                                                    | `element = page.find(lambda e: len(e.children) > 0)`                              |
+| Finding a single element (Example 5)                            | `element = soup.find(["a", "b"])`                                                                             | `element = page.find(["a", "b"])`                                                 |
+| Find element by its text content                                | `element = soup.find(text="some text")`                                                                       | `element = page.find_by_text("some text", partial=False)`                         |
+| Using CSS selectors to find the first matching element          | `elements = soup.select_one('div.example')`                                                                   | `elements = page.css('div.example').first`                                        |
+| Using CSS selectors to find all matching element                | `elements = soup.select('div.example')`                                                                       | `elements = page.css('div.example')`                                              |
+| Get a prettified version of the page/element source             | `prettified = soup.prettify()`                                                                                | `prettified = page.prettify()`                                                    |
+| Get a Non-pretty version of the page/element source             | `source = str(soup)`                                                                                          | `source = page.html_content`                                                      |
+| Get tag name of an element                                      | `name = element.name`                                                                                         | `name = element.tag`                                                              |
+| Extracting text content of an element                           | `string = element.string`                                                                                     | `string = element.text`                                                           |
+| Extracting all the text in a document or beneath a tag          | `text = soup.get_text(strip=True)`                                                                            | `text = page.get_all_text(strip=True)`                                            |
+| Access the dictionary of attributes                             | `attrs = element.attrs`                                                                                       | `attrs = element.attrib`                                                          |
+| Extracting attributes                                           | `attr = element['href']`                                                                                      | `attr = element['href']`                                                          |
+| Navigating to parent                                            | `parent = element.parent`                                                                                     | `parent = element.parent`                                                         |
+| Get all parents of an element                                   | `parents = list(element.parents)`                                                                             | `parents = list(element.iterancestors())`                                         |
+| Searching for an element in the parents of an element           | `target_parent = element.find_parent("a")`                                                                    | `target_parent = element.find_ancestor(lambda p: p.tag == 'a')`                   |
+| Get all siblings of an element                                  | N/A                                                                                                           | `siblings = element.siblings`                                                     |
+| Get next sibling of an element                                  | `next_element = element.next_sibling`                                                                         | `next_element = element.next`                                                     |
+| Searching for an element in the siblings of an element          | `target_sibling = element.find_next_sibling("a")`<br/>`target_sibling = element.find_previous_sibling("a")`   | `target_sibling = element.siblings.search(lambda s: s.tag == 'a')`                |
+| Searching for elements in the siblings of an element            | `target_sibling = element.find_next_siblings("a")`<br/>`target_sibling = element.find_previous_siblings("a")` | `target_sibling = element.siblings.filter(lambda s: s.tag == 'a')`                |
+| Searching for an element in the next elements of an element     | `target_parent = element.find_next("a")`                                                                      | `target_parent = element.below_elements.search(lambda p: p.tag == 'a')`           |
+| Searching for elements in the next elements of an element       | `target_parent = element.find_all_next("a")`                                                                  | `target_parent = element.below_elements.filter(lambda p: p.tag == 'a')`           |
+| Searching for an element in the ancestors of an element         | `target_parent = element.find_previous("a")` ¹                                                                | `target_parent = element.path.search(lambda p: p.tag == 'a')`                     |
+| Searching for elements in the ancestors of an element           | `target_parent = element.find_all_previous("a")` ¹                                                            | `target_parent = element.path.filter(lambda p: p.tag == 'a')`                     |
+| Get previous sibling of an element                              | `prev_element = element.previous_sibling`                                                                     | `prev_element = element.previous`                                                 |
+| Navigating to children                                          | `children = list(element.children)`                                                                           | `children = element.children`                                                     |
+| Get all descendants of an element                               | `children = list(element.descendants)`                                                                        | `children = element.below_elements`                                               |
+| Filtering a group of elements that satisfies a condition        | `group = soup.find('p', 'story').css.filter('a')`                                                             | `group = page.find_all('p', 'story').filter(lambda p: p.tag == 'a')`              |
+
+
+¹ **Note:** BS4's `find_previous`/`find_all_previous` searches all preceding elements in document order, while Scrapling's `path` only returns ancestors (the parent chain). These are not exact equivalents, but ancestor search covers the most common use case.
+
+BeautifulSoup supports modifying/manipulating the parsed DOM. Scrapling does not — it is read-only and optimized for extraction.
+
+### Full Example: Extracting Links
+
+**With BeautifulSoup:**
+
+```python
+import requests
+from bs4 import BeautifulSoup
+
+url = 'https://example.com'
+response = requests.get(url)
+soup = BeautifulSoup(response.text, 'html.parser')
+
+links = soup.find_all('a')
+for link in links:
+    print(link['href'])
+```
+
+**With Scrapling:**
+
+```python
+from scrapling import Fetcher
+
+url = 'https://example.com'
+page = Fetcher.get(url)
+
+links = page.css('a::attr(href)')
+for link in links:
+    print(link)
+```
+
+Scrapling combines fetching and parsing into a single step.
+
+**Note:**
+
+- **Parsers**: BeautifulSoup supports multiple parser engines. Scrapling always uses `lxml` for performance.
+- **Element Types**: BeautifulSoup elements are `Tag` objects; Scrapling elements are `Selector` objects. Both provide similar navigation and extraction methods.
+- **Error Handling**: Both libraries return `None` when an element is not found (e.g., `soup.find()` or `page.find()`). `page.css()` returns an empty `Selectors` list when no elements match. Use `page.css('.foo').first` to safely get the first match or `None`.
+- **Text Extraction**: Scrapling's `TextHandler` provides additional text processing methods such as `clean()` for removing extra whitespace, consecutive spaces, or unwanted characters.

agent-skill/Scrapling-Skill/references/parsing/adaptive.md

@@ -0,0 +1,212 @@
+# Adaptive scraping
+
+Adaptive scraping (previously known as automatch) is one of Scrapling's most powerful features. It allows your scraper to survive website changes by intelligently tracking and relocating elements.
+
+Consider a page with a structure like this:
+```html
+<div class="container">
+    <section class="products">
+        <article class="product" id="p1">
+            <h3>Product 1</h3>
+            <p class="description">Description 1</p>
+        </article>
+        <article class="product" id="p2">
+            <h3>Product 2</h3>
+            <p class="description">Description 2</p>
+        </article>
+    </section>
+</div>
+```
+To scrape the first product (the one with the `p1` ID), a selector like this would be used:
+```python
+page.css('#p1')
+```
+When website owners implement structural changes like
+```html
+<div class="new-container">
+    <div class="product-wrapper">
+        <section class="products">
+            <article class="product new-class" data-id="p1">
+                <div class="product-info">
+                    <h3>Product 1</h3>
+                    <p class="new-description">Description 1</p>
+                </div>
+            </article>
+            <article class="product new-class" data-id="p2">
+                <div class="product-info">
+                    <h3>Product 2</h3>
+                    <p class="new-description">Description 2</p>
+                </div>
+            </article>
+        </section>
+    </div>
+</div>
+```
+The selector will no longer function, and your code needs maintenance. That's where Scrapling's `adaptive` feature comes into play.
+
+With Scrapling, you can enable the `adaptive` feature the first time you select an element, and the next time you select that element and it doesn't exist, Scrapling will remember its properties and search on the website for the element with the highest percentage of similarity to that element.
+
+```python
+from scrapling import Selector, Fetcher
+# Before the change
+page = Selector(page_source, adaptive=True, url='example.com')
+# or
+Fetcher.adaptive = True
+page = Fetcher.get('https://example.com')
+# then
+element = page.css('#p1', auto_save=True)
+if not element:  # One day website changes?
+    element = page.css('#p1', adaptive=True)  # Scrapling still finds it!
+# the rest of your code...
+```
+It works with all selection methods, not just CSS/XPath selection.
+
+## Real-World Scenario
+This example uses [The Web Archive](https://archive.org/)'s [Wayback Machine](https://web.archive.org/) to demonstrate adaptive scraping across different versions of a website. A copy of [StackOverflow's website in 2010](https://web.archive.org/web/20100102003420/http://stackoverflow.com/) is compared against the current design to show that the adaptive feature can extract the same button using the same selector.
+
+To extract the Questions button from the old design, a selector like `#hmenus > div:nth-child(1) > ul > li:nth-child(1) > a` can be used (this specific selector was generated by Chrome).
+
+Testing the same selector in both versions:
+```python
+>> from scrapling import Fetcher
+>> selector = '#hmenus > div:nth-child(1) > ul > li:nth-child(1) > a'
+>> old_url = "https://web.archive.org/web/20100102003420/http://stackoverflow.com/"
+>> new_url = "https://stackoverflow.com/"
+>> Fetcher.configure(adaptive = True, adaptive_domain='stackoverflow.com')
+>> 
+>> page = Fetcher.get(old_url, timeout=30)
+>> element1 = page.css(selector, auto_save=True)[0]
+>> 
+>> # Same selector but used in the updated website
+>> page = Fetcher.get(new_url)
+>> element2 = page.css(selector, adaptive=True)[0]
+>> 
+>> if element1.text == element2.text:
+...    print('Scrapling found the same element in the old and new designs!')
+'Scrapling found the same element in the old and new designs!'
+```
+The `adaptive_domain` argument is used here because Scrapling sees `archive.org` and `stackoverflow.com` as two different domains and would isolate their `adaptive` data. Passing `adaptive_domain` tells Scrapling to treat them as the same website for adaptive data storage.
+
+In a typical scenario with the same URL for both requests, the `adaptive_domain` argument is not needed. The adaptive logic works the same way with both the `Selector` and `Fetcher` classes.
+
+**Note:** The main reason for creating the `adaptive_domain` argument was to handle if the website changed its URL while changing the design/structure. In that case, it can be used to continue using the previously stored adaptive data for the new URL. Otherwise, Scrapling will consider it a new website and discard the old data.
+
+## How the adaptive scraping feature works
+Adaptive scraping works in two phases:
+
+1. **Save Phase**: Store unique properties of elements
+2. **Match Phase**: Find elements with similar properties later
+
+After selecting an element through any method, the library can find it the next time the website is scraped, even if it undergoes structural/design changes.
+
+The general logic is as follows:
+
+  1. Scrapling saves that element's unique properties (methods shown below).
+  2. Scrapling uses its configured database (SQLite by default) and saves each element's unique properties.
+  3. Because everything about the element can be changed or removed by the website's owner(s), nothing from the element can be used as a unique identifier for the database. The storage system relies on two things:
+     1. The domain of the current website. When using the `Selector` class, pass it when initializing; when using a fetcher, the domain is automatically taken from the URL.
+     2. An `identifier` to query that element's properties from the database. The identifier does not always need to be set manually (see below).
+
+     Together, they will later be used to retrieve the element's unique properties from the database.
+
+  4. Later, when the website's structure changes, enabling `adaptive` causes Scrapling to retrieve the element's unique properties and match all elements on the page against them. A score is calculated based on their similarity to the desired element. Everything is taken into consideration in that comparison.
+  5. The element(s) with the highest similarity score to the wanted element are returned.
+
+### The unique properties
+The unique properties Scrapling relies on are:
+
+- Element tag name, text, attributes (names and values), siblings (tag names only), and path (tag names only).
+- Element's parent tag name, attributes (names and values), and text.
+
+The comparison between elements is not exact; it is based on how similar these values are. Everything is considered, including the values' order (e.g., the order in which class names are written).
+
+## How to use adaptive feature
+The adaptive feature can be applied to any found element and is added as arguments to CSS/XPath selection methods.
+
+First, enable the `adaptive` feature by passing `adaptive=True` to the [Selector](main_classes.md#selector) class when initializing it, or enable it on the fetcher being used.
+
+Examples:
+```python
+>>> from scrapling import Selector, Fetcher
+>>> page = Selector(html_doc, adaptive=True)
+# OR
+>>> Fetcher.adaptive = True
+>>> page = Fetcher.get('https://example.com')
+```
+When using the [Selector](main_classes.md#selector) class, pass the URL of the website with the `url` argument so Scrapling can separate the properties saved for each element by domain.
+
+If no URL is passed, the word `default` will be used in place of the URL field while saving the element's unique properties. This is only an issue when using the same identifier for a different website without passing the URL parameter. The save process overwrites previous data, and the `adaptive` feature uses only the latest saved properties.
+
+The `storage` and `storage_args` arguments control the database connection; by default, the SQLite class provided by the library is used.
+
+There are two main ways to use the `adaptive` feature:
+
+### The CSS/XPath Selection way
+First, use the `auto_save` argument while selecting an element that exists on the page:
+```python
+element = page.css('#p1', auto_save=True)
+```
+When the element no longer exists, use the same selector with the `adaptive` argument to have the library find it:
+```python
+element = page.css('#p1', adaptive=True)
+```
+With the `css`/`xpath` methods, the identifier is set automatically to the selector string passed to the method.
+
+Additionally, for all these methods, you can pass the `identifier` argument to set it yourself. This is useful in some instances, or you can use it to save properties with the `auto_save` argument.
+
+### The manual way
+Elements can be manually saved, retrieved, and relocated within the `adaptive` feature. This allows relocating any element found by any method.
+
+Example of getting an element by text:
+```python
+>>> element = page.find_by_text('Tipping the Velvet', first_match=True)
+```
+Save its unique properties using the `save` method. The identifier must be set manually (use a meaningful identifier):
+```python
+>>> page.save(element, 'my_special_element')
+```
+Later, retrieve and relocate the element inside the page with `adaptive`:
+```python
+>>> element_dict = page.retrieve('my_special_element')
+>>> page.relocate(element_dict, selector_type=True)
+[<data='<a href="catalogue/tipping-the-velvet_99...' parent='<h3><a href="catalogue/tipping-the-velve...'>]
+>>> page.relocate(element_dict, selector_type=True).css('::text').getall()
+['Tipping the Velvet']
+```
+The `retrieve` and `relocate` methods are used here.
+
+To keep it as a `lxml.etree` object, omit the `selector_type` argument:
+```python
+>>> page.relocate(element_dict)
+[<Element a at 0x105a2a7b0>]
+```
+
+## Troubleshooting
+
+### No Matches Found
+```python
+# 1. Check if data was saved
+element_data = page.retrieve('identifier')
+if not element_data:
+    print("No data saved for this identifier")
+
+# 2. Try with different identifier
+products = page.css('.product', adaptive=True, identifier='old_selector')
+
+# 3. Save again with new identifier
+products = page.css('.new-product', auto_save=True, identifier='new_identifier')
+```
+
+### Wrong Elements Matched
+```python
+# Use more specific selectors
+products = page.css('.product-list .product', auto_save=True)
+
+# Or save with more context
+product = page.find_by_text('Product Name').parent
+page.save(product, 'specific_product')
+```
+
+## Known Issues
+In the `adaptive` save process, only the unique properties of the first element in the selection results are saved. So if the selector you are using selects different elements on the page in other locations, `adaptive` will return the first element to you only when you relocate it later. This doesn't include combined CSS selectors (Using commas to combine more than one selector, for example), as these selectors are separated and each is executed alone.
+

agent-skill/Scrapling-Skill/references/parsing/main_classes.md

@@ -0,0 +1,586 @@
+# Parsing main classes
+
+The [Selector](#selector) class is the core parsing engine in Scrapling, providing HTML parsing and element selection capabilities. You can always import it with any of the following imports
+```python
+from scrapling import Selector
+from scrapling.parser import Selector
+```
+Usage:
+```python
+page = Selector(
+    '<html>...</html>',
+    url='https://example.com'
+)
+
+# Then select elements as you like
+elements = page.css('.product')
+```
+In Scrapling, the main object you deal with after passing an HTML source or fetching a website is, of course, a [Selector](#selector) object. Any operation you do, like selection, navigation, etc., will return either a [Selector](#selector) object or a [Selectors](#selectors) object, given that the result is element/elements from the page, not text or similar.
+
+The main page is a [Selector](#selector) object, and the elements within are [Selector](#selector) objects. Any text (text content inside elements or attribute values) is a [TextHandler](#texthandler) object, and element attributes are stored as [AttributesHandler](#attributeshandler).
+
+## Selector
+### Arguments explained
+The most important one is `content`, it's used to pass the HTML code you want to parse, and it accepts the HTML content as `str` or `bytes`.
+
+The arguments `url`, `adaptive`, `storage`, and `storage_args` are settings used with the `adaptive` feature. They are explained in the [adaptive](adaptive.md) feature page.
+
+Arguments for parsing adjustments:
+
+- **encoding**: This is the encoding that will be used while parsing the HTML. The default is `UTF-8`.
+- **keep_comments**: This tells the library whether to keep HTML comments while parsing the page. It's disabled by default because it can cause issues with your scraping in various ways.
+- **keep_cdata**: Same logic as the HTML comments. [cdata](https://stackoverflow.com/questions/7092236/what-is-cdata-in-html) is removed by default for cleaner HTML.
+
+The arguments `huge_tree` and `root` are advanced features not covered here.
+
+Most properties on the main page and its elements are lazily loaded (not initialized until accessed), which contributes to Scrapling's speed.
+
+### Properties
+Properties for traversal are separated in the [traversal](#traversal) section below.
+
+Parsing this HTML page as an example:
+```html
+<html>
+  <head>
+    <title>Some page</title>
+  </head>
+  <body>
+    <div class="product-list">
+      <article class="product" data-id="1">
+        <h3>Product 1</h3>
+        <p class="description">This is product 1</p>
+        <span class="price">$10.99</span>
+        <div class="hidden stock">In stock: 5</div>
+      </article>
+    
+      <article class="product" data-id="2">
+        <h3>Product 2</h3>
+        <p class="description">This is product 2</p>
+        <span class="price">$20.99</span>
+        <div class="hidden stock">In stock: 3</div>
+      </article>
+    
+      <article class="product" data-id="3">
+        <h3>Product 3</h3>
+        <p class="description">This is product 3</p>
+        <span class="price">$15.99</span>
+        <div class="hidden stock">Out of stock</div>
+      </article>
+    </div>
+
+    <script id="page-data" type="application/json">
+      {
+        "lastUpdated": "2024-09-22T10:30:00Z",
+        "totalProducts": 3
+      }
+    </script>
+  </body>
+</html>
+```
+Load the page directly as shown before:
+```python
+from scrapling import Selector
+page = Selector(html_doc)
+```
+Get all text content on the page recursively
+```python
+>>> page.get_all_text()
+'Some page\n\n    \n\n      \nProduct 1\nThis is product 1\n$10.99\nIn stock: 5\nProduct 2\nThis is product 2\n$20.99\nIn stock: 3\nProduct 3\nThis is product 3\n$15.99\nOut of stock'
+```
+Get the first article (used as an example throughout):
+```python
+article = page.find('article')
+```
+With the same logic, get all text content on the element recursively
+```python
+>>> article.get_all_text()
+'Product 1\nThis is product 1\n$10.99\nIn stock: 5'
+```
+But if you try to get the direct text content, it will be empty because it doesn't have direct text in the HTML code above
+```python
+>>> article.text
+''
+```
+The `get_all_text` method has the following optional arguments:
+
+1. **separator**: All strings collected will be concatenated using this separator. The default is '\n'.
+2. **strip**: If enabled, strings will be stripped before concatenation. Disabled by default.
+3. **ignore_tags**: A tuple of all tag names you want to ignore in the final results and ignore any elements nested within them. The default is `('script', 'style',)`.
+4. **valid_values**: If enabled, the method will only collect elements with real values, so all elements with empty text content or only whitespaces will be ignored. It's enabled by default
+
+The text returned is a [TextHandler](#texthandler), not a standard string. If the text content can be serialized to JSON, use `.json()` on it:
+```python
+>>> script = page.find('script')
+>>> script.json()
+{'lastUpdated': '2024-09-22T10:30:00Z', 'totalProducts': 3}
+```
+Let's continue to get the element tag
+```python
+>>> article.tag
+'article'
+```
+Using it on the page directly operates on the root `html` element:
+```python
+>>> page.tag
+'html'
+```
+Getting the attributes of the element
+```python
+>>> print(article.attrib)
+{'class': 'product', 'data-id': '1'}
+```
+Access a specific attribute with any of the following
+```python
+>>> article.attrib['class']
+>>> article.attrib.get('class')
+>>> article['class']  # new in v0.3
+```
+Check if the attributes contain a specific attribute with any of the methods below
+```python
+>>> 'class' in article.attrib
+>>> 'class' in article  # new in v0.3
+```
+Get the HTML content of the element
+```python
+>>> article.html_content
+'<article class="product" data-id="1"><h3>Product 1</h3>\n        <p class="description">This is product 1</p>\n        <span class="price">$10.99</span>\n        <div class="hidden stock">In stock: 5</div>\n      </article>'
+```
+Get the prettified version of the element's HTML content
+```python
+print(article.prettify())
+```
+```html
+<article class="product" data-id="1"><h3>Product 1</h3>
+    <p class="description">This is product 1</p>
+    <span class="price">$10.99</span>
+    <div class="hidden stock">In stock: 5</div>
+</article>
+```
+Use the `.body` property to get the raw content of the page. Starting from v0.4, when used on a `Response` object from fetchers, `.body` always returns `bytes`.
+```python
+>>> page.body
+'<html>\n  <head>\n    <title>Some page</title>\n  </head>\n  ...'
+```
+To get all the ancestors in the DOM tree of this element
+```python
+>>> article.path
+[<data='<div class="product-list"> <article clas...' parent='<body> <div class="product-list"> <artic...'>,
+ <data='<body> <div class="product-list"> <artic...' parent='<html><head><title>Some page</title></he...'>,
+ <data='<html><head><title>Some page</title></he...'>]
+```
+Generate a CSS shortened selector if possible, or generate the full selector
+```python
+>>> article.generate_css_selector
+'body > div > article'
+>>> article.generate_full_css_selector
+'body > div > article'
+```
+Same case with XPath
+```python
+>>> article.generate_xpath_selector
+"//body/div/article"
+>>> article.generate_full_xpath_selector
+"//body/div/article"
+```
+
+### Traversal
+Properties and methods for navigating elements on the page.
+
+The `html` element is the root of the website's tree. Elements like `head` and `body` are "children" of `html`, and `html` is their "parent". The element `body` is a "sibling" of `head` and vice versa.
+
+Accessing the parent of an element
+```python
+>>> article.parent
+<data='<div class="product-list"> <article clas...' parent='<body> <div class="product-list"> <artic...'>
+>>> article.parent.tag
+'div'
+```
+Chaining is supported, as with all similar properties/methods:
+```python
+>>> article.parent.parent.tag
+'body'
+```
+Get the children of an element
+```python
+>>> article.children
+[<data='<h3>Product 1</h3>' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<p class="description">This is product 1...' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<span class="price">$10.99</span>' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<div class="hidden stock">In stock: 5</d...' parent='<article class="product" data-id="1"><h3...'>]
+```
+Get all elements underneath an element. It acts as a nested version of the `children` property
+```python
+>>> article.below_elements
+[<data='<h3>Product 1</h3>' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<p class="description">This is product 1...' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<span class="price">$10.99</span>' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<div class="hidden stock">In stock: 5</d...' parent='<article class="product" data-id="1"><h3...'>]
+```
+This element returns the same result as the `children` property because its children don't have children.
+
+Another example of using the element with the `product-list` class will clear the difference between the `children` property and the `below_elements` property
+```python
+>>> products_list = page.css('.product-list')[0]
+>>> products_list.children
+[<data='<article class="product" data-id="1"><h3...' parent='<div class="product-list"> <article clas...'>,
+ <data='<article class="product" data-id="2"><h3...' parent='<div class="product-list"> <article clas...'>,
+ <data='<article class="product" data-id="3"><h3...' parent='<div class="product-list"> <article clas...'>]
+
+>>> products_list.below_elements
+[<data='<article class="product" data-id="1"><h3...' parent='<div class="product-list"> <article clas...'>,
+ <data='<h3>Product 1</h3>' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<p class="description">This is product 1...' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<span class="price">$10.99</span>' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<div class="hidden stock">In stock: 5</d...' parent='<article class="product" data-id="1"><h3...'>,
+ <data='<article class="product" data-id="2"><h3...' parent='<div class="product-list"> <article clas...'>,
+...]
+```
+Get the siblings of an element
+```python
+>>> article.siblings
+[<data='<article class="product" data-id="2"><h3...' parent='<div class="product-list"> <article clas...'>,
+ <data='<article class="product" data-id="3"><h3...' parent='<div class="product-list"> <article clas...'>]
+```
+Get the next element of the current element
+```python
+>>> article.next
+<data='<article class="product" data-id="2"><h3...' parent='<div class="product-list"> <article clas...'>
+```
+The same logic applies to the `previous` property
+```python
+>>> article.previous  # It's the first child, so it doesn't have a previous element
+>>> second_article = page.css('.product[data-id="2"]')[0]
+>>> second_article.previous
+<data='<article class="product" data-id="1"><h3...' parent='<div class="product-list"> <article clas...'>
+```
+Check if an element has a specific class name:
+```python
+>>> article.has_class('product')
+True
+```
+Iterate over the entire ancestors' tree of any element:
+```python
+for ancestor in article.iterancestors():
+    # do something with it...
+```
+Search for a specific ancestor that satisfies a search function. Pass a function that takes a [Selector](#selector) object as an argument and returns `True`/`False`:
+```python
+>>> article.find_ancestor(lambda ancestor: ancestor.has_class('product-list'))
+<data='<div class="product-list"> <article clas...' parent='<body> <div class="product-list"> <artic...'>
+
+>>> article.find_ancestor(lambda ancestor: ancestor.css('.product-list'))  # Same result, different approach
+<data='<div class="product-list"> <article clas...' parent='<body> <div class="product-list"> <artic...'>
+```
+## Selectors
+The class `Selectors` is the "List" version of the [Selector](#selector) class. It inherits from the Python standard `List` type, so it shares all `List` properties and methods while adding more methods to make the operations you want to execute on the [Selector](#selector) instances within more straightforward.
+
+In the [Selector](#selector) class, all methods/properties that should return a group of elements return them as a [Selectors](#selectors) class instance.
+
+Starting with v0.4, all selection methods consistently return [Selector](#selector)/[Selectors](#selectors) objects, even for text nodes and attribute values. Text nodes (selected via `::text`, `/text()`, `::attr()`, `/@attr`) are wrapped in [Selector](#selector) objects. These text node selectors have `tag` set to `"#text"`, and their `text` property returns the text value. You can still access the text value directly, and all other properties return empty/default values gracefully.
+
+```python
+>>> page.css('a::text')              # -> Selectors (of text node Selectors)
+>>> page.xpath('//a/text()')         # -> Selectors
+>>> page.css('a::text').get()        # -> TextHandler (the first text value)
+>>> page.css('a::text').getall()     # -> TextHandlers (all text values)
+>>> page.css('a::attr(href)')        # -> Selectors
+>>> page.xpath('//a/@href')          # -> Selectors
+>>> page.css('.price_color')         # -> Selectors
+```
+
+### Data extraction methods
+Starting with v0.4, [Selector](#selector) and [Selectors](#selectors) both provide `get()`, `getall()`, and their aliases `extract_first` and `extract` (following Scrapy conventions). The old `get_all()` method has been removed.
+
+**On a [Selector](#selector) object:**
+
+- `get()` returns a `TextHandler` — for text node selectors, it returns the text value; for HTML element selectors, it returns the serialized outer HTML.
+- `getall()` returns a `TextHandlers` list containing the single serialized string.
+- `extract_first` is an alias for `get()`, and `extract` is an alias for `getall()`.
+
+```python
+>>> page.css('h3')[0].get()        # Outer HTML of the element
+'<h3>Product 1</h3>'
+
+>>> page.css('h3::text')[0].get()  # Text value of the text node
+'Product 1'
+```
+
+**On a [Selectors](#selectors) object:**
+
+- `get(default=None)` returns the serialized string of the **first** element, or `default` if the list is empty.
+- `getall()` serializes **all** elements and returns a `TextHandlers` list.
+- `extract_first` is an alias for `get()`, and `extract` is an alias for `getall()`.
+
+```python
+>>> page.css('.price::text').get()      # First price text
+'$10.99'
+
+>>> page.css('.price::text').getall()   # All price texts
+['$10.99', '$20.99', '$15.99']
+
+>>> page.css('.price::text').get('')    # With default value
+'$10.99'
+```
+
+These methods work seamlessly with all selection types (CSS, XPath, `find`, etc.) and are the recommended way to extract text and attribute values in a Scrapy-compatible style.
+
+### Properties
+Apart from the standard operations on Python lists (iteration, slicing, etc.), the following operations are available:
+
+CSS and XPath selectors can be executed directly on the [Selector](#selector) instances, with the same return types as [Selector](#selector)'s `css` and `xpath` methods. The arguments are similar, except the `adaptive` argument is not available. This makes chaining methods straightforward:
+```python
+>>> page.css('.product_pod a')
+[<data='<a href="catalogue/a-light-in-the-attic_...' parent='<div class="image_container"> <a href="c...'>,
+ <data='<a href="catalogue/a-light-in-the-attic_...' parent='<h3><a href="catalogue/a-light-in-the-at...'>,
+ <data='<a href="catalogue/tipping-the-velvet_99...' parent='<div class="image_container"> <a href="c...'>,
+ <data='<a href="catalogue/tipping-the-velvet_99...' parent='<h3><a href="catalogue/tipping-the-velve...'>,
+ <data='<a href="catalogue/soumission_998/index....' parent='<div class="image_container"> <a href="c...'>,
+ <data='<a href="catalogue/soumission_998/index....' parent='<h3><a href="catalogue/soumission_998/in...'>,
+...]
+
+>>> page.css('.product_pod').css('a')  # Returns the same result
+[<data='<a href="catalogue/a-light-in-the-attic_...' parent='<div class="image_container"> <a href="c...'>,
+ <data='<a href="catalogue/a-light-in-the-attic_...' parent='<h3><a href="catalogue/a-light-in-the-at...'>,
+ <data='<a href="catalogue/tipping-the-velvet_99...' parent='<div class="image_container"> <a href="c...'>,
+ <data='<a href="catalogue/tipping-the-velvet_99...' parent='<h3><a href="catalogue/tipping-the-velve...'>,
+ <data='<a href="catalogue/soumission_998/index....' parent='<div class="image_container"> <a href="c...'>,
+ <data='<a href="catalogue/soumission_998/index....' parent='<h3><a href="catalogue/soumission_998/in...'>,
+...]
+```
+The `re` and `re_first` methods can be run directly. They take the same arguments as the [Selector](#selector) class. In this class, `re_first` runs `re` on each [Selector](#selector) within and returns the first one with a result. The `re` method returns a [TextHandlers](#texthandlers) object combining all matches:
+```python
+>>> page.css('.price_color').re(r'[\d\.]+')
+['51.77',
+ '53.74',
+ '50.10',
+ '47.82',
+ '54.23',
+...]
+
+>>> page.css('.product_pod h3 a::attr(href)').re(r'catalogue/(.*)/index.html')
+['a-light-in-the-attic_1000',
+ 'tipping-the-velvet_999',
+ 'soumission_998',
+ 'sharp-objects_997',
+...]
+```
+The `search` method searches the available [Selector](#selector) instances. The function passed must accept a [Selector](#selector) instance as the first argument and return True/False. Returns the first matching [Selector](#selector) instance, or `None`:
+```python
+# Find all the products with price '53.23'.
+>>> search_function = lambda p: float(p.css('.price_color').re_first(r'[\d\.]+')) == 54.23
+>>> page.css('.product_pod').search(search_function)
+<data='<article class="product_pod"><div class=...' parent='<li class="col-xs-6 col-sm-4 col-md-3 co...'>
+```
+The `filter` method takes a function like `search` but returns a `Selectors` instance of all matching [Selector](#selector) instances:
+```python
+# Find all products with prices over $50
+>>> filtering_function = lambda p: float(p.css('.price_color').re_first(r'[\d\.]+')) > 50
+>>> page.css('.product_pod').filter(filtering_function)
+[<data='<article class="product_pod"><div class=...' parent='<li class="col-xs-6 col-sm-4 col-md-3 co...'>,
+ <data='<article class="product_pod"><div class=...' parent='<li class="col-xs-6 col-sm-4 col-md-3 co...'>,
+ <data='<article class="product_pod"><div class=...' parent='<li class="col-xs-6 col-sm-4 col-md-3 co...'>,
+...]
+```
+Safe access to the first or last element without index errors:
+```python
+>>> page.css('.product').first   # First Selector or None
+<data='<article class="product" data-id="1"><h3...'>
+>>> page.css('.product').last    # Last Selector or None
+<data='<article class="product" data-id="3"><h3...'>
+>>> page.css('.nonexistent').first  # Returns None instead of raising IndexError
+```
+
+Get the number of [Selector](#selector) instances in a [Selectors](#selectors) instance:
+```python
+page.css('.product_pod').length
+```
+which is equivalent to
+```python
+len(page.css('.product_pod'))
+```
+
+## TextHandler
+All methods/properties that return a string return `TextHandler`, and those that return a list of strings return [TextHandlers](#texthandlers) instead.
+
+TextHandler is a subclass of the standard Python string, so all standard string operations are supported.
+
+TextHandler provides extra methods and properties beyond standard Python strings. All methods and properties in all classes that return string(s) return TextHandler, enabling chaining and cleaner code. It can also be imported directly and used on any string.
+### Usage
+All operations (slicing, indexing, etc.) and methods (`split`, `replace`, `strip`, etc.) return a `TextHandler`, so they can be chained.
+
+The `re` and `re_first` methods exist in [Selector](#selector), [Selectors](#selectors), and [TextHandlers](#texthandlers) as well, accepting the same arguments.
+
+- The `re` method takes a string/compiled regex pattern as the first argument. It searches the data for all strings matching the regex and returns them as a [TextHandlers](#texthandlers) instance. The `re_first` method takes the same arguments but returns only the first result as a `TextHandler` instance.
+    
+    Also, it takes other helpful arguments, which are:
+    
+    - **replace_entities**: This is enabled by default. It replaces character entity references with their corresponding characters.
+    - **clean_match**: It's disabled by default. This causes the method to ignore all whitespace, including consecutive spaces, while matching.
+    - **case_sensitive**: It's enabled by default. As the name implies, disabling it causes the regex to ignore letter case during compilation.
+  
+    The return result is [TextHandlers](#texthandlers) because the `re` method is used:
+    ```python
+    >>> page.css('.price_color').re(r'[\d\.]+')
+    ['51.77',
+     '53.74',
+     '50.10',
+     '47.82',
+     '54.23',
+    ...]
+    
+    >>> page.css('.product_pod h3 a::attr(href)').re(r'catalogue/(.*)/index.html')
+    ['a-light-in-the-attic_1000',
+     'tipping-the-velvet_999',
+     'soumission_998',
+     'sharp-objects_997',
+    ...]
+    ```
+    Examples with custom strings demonstrating the other arguments:
+    ```python
+    >>> from scrapling import TextHandler
+    >>> test_string = TextHandler('hi  there')  # Hence the two spaces
+    >>> test_string.re('hi there')
+    >>> test_string.re('hi there', clean_match=True)  # Using `clean_match` will clean the string before matching the regex
+    ['hi there']
+    
+    >>> test_string2 = TextHandler('Oh, Hi Mark')
+    >>> test_string2.re_first('oh, hi Mark')
+    >>> test_string2.re_first('oh, hi Mark', case_sensitive=False)  # Hence disabling `case_sensitive`
+    'Oh, Hi Mark'
+    
+    # Mixing arguments
+    >>> test_string.re('hi there', clean_match=True, case_sensitive=False)
+    ['hi There']
+    ```
+    Since `html_content` returns `TextHandler`, regex can be applied directly on HTML content:
+    ```python
+    >>> page.html_content.re('div class=".*">(.*)</div')
+    ['In stock: 5', 'In stock: 3', 'Out of stock']
+    ```
+
+- The `.json()` method converts the content to a JSON object if possible; otherwise, it throws an error:
+  ```python
+  >>> page.css('#page-data::text').get()
+    '\n      {\n        "lastUpdated": "2024-09-22T10:30:00Z",\n        "totalProducts": 3\n      }\n    '
+  >>> page.css('#page-data::text').get().json()
+    {'lastUpdated': '2024-09-22T10:30:00Z', 'totalProducts': 3}
+  ```
+  If no text node is specified while selecting an element, the text content is selected automatically:
+  ```python
+  >>> page.css('#page-data')[0].json()
+  {'lastUpdated': '2024-09-22T10:30:00Z', 'totalProducts': 3}
+  ```
+  The [Selector](#selector) class adds additional behavior. Given this page:
+  ```html
+  <html>
+      <body>
+          <div>
+            <script id="page-data" type="application/json">
+              {
+                "lastUpdated": "2024-09-22T10:30:00Z",
+                "totalProducts": 3
+              }
+            </script>
+          </div>
+      </body>
+  </html>
+  ```
+  The [Selector](#selector) class has the `get_all_text` method, which returns a `TextHandler`. For example:
+  ```python
+  >>> page.css('div::text').get().json()
+  ```
+  This throws an error because the `div` tag has no direct text content. The `get_all_text` method handles this case:
+  ```python
+  >>> page.css('div')[0].get_all_text(ignore_tags=[]).json()
+    {'lastUpdated': '2024-09-22T10:30:00Z', 'totalProducts': 3}
+  ```
+  The `ignore_tags` argument is used here because its default value is `('script', 'style',)`.
+
+  When dealing with a JSON response:
+  ```python
+  >>> page = Selector("""{"some_key": "some_value"}""")
+  ```
+  The [Selector](#selector) class is optimized for HTML, so it treats this as a broken HTML response and wraps it. The `html_content` property shows:
+  ```python
+  >>> page.html_content
+  '<html><body><p>{"some_key": "some_value"}</p></body></html>'
+  ```
+  The `json` method can be used directly:
+  ```python
+  >>> page.json()
+  {'some_key': 'some_value'}
+  ```
+  For JSON responses, the [Selector](#selector) class keeps a raw copy of the content it receives. When `.json()` is called, it checks for that raw copy first and converts it to JSON. If the raw copy is unavailable (as with sub-elements), it checks the current element's text content, then falls back to `get_all_text`.
+
+- The `.clean()` method removes all whitespace and consecutive spaces, returning a new `TextHandler` instance:
+```python
+>>> TextHandler('\n wonderful  idea, \reh?').clean()
+'wonderful idea, eh?'
+```
+The `remove_entities` argument causes `clean` to replace HTML entities with their corresponding characters.
+
+- The `.sort()` method sorts the string characters:
+```python
+>>> TextHandler('acb').sort()
+'abc'
+```
+Or do it in reverse:
+```python
+>>> TextHandler('acb').sort(reverse=True)
+'cba'
+```
+
+This class is returned in place of strings nearly everywhere in the library.
+
+## TextHandlers
+This class inherits from standard lists, adding `re` and `re_first` as new methods.
+
+The `re_first` method runs `re` on each [TextHandler](#texthandler) and returns the first result, or `None`.
+
+## AttributesHandler
+This is a read-only version of Python's standard dictionary, or `dict`, used solely to store the attributes of each element/[Selector](#selector) instance.
+```python
+>>> print(page.find('script').attrib)
+{'id': 'page-data', 'type': 'application/json'}
+>>> type(page.find('script').attrib).__name__
+'AttributesHandler'
+```
+Because it's read-only, it will use fewer resources than the standard dictionary. Still, it has the same dictionary method and properties, except those that allow you to modify/override the data.
+
+It currently adds two extra simple methods:
+
+- The `search_values` method
+
+    Searches the current attributes by values (rather than keys) and returns a dictionary of each matching item.
+    
+    A simple example would be
+    ```python
+    >>> for i in page.find('script').attrib.search_values('page-data'):
+            print(i)
+    {'id': 'page-data'}
+    ```
+    But this method provides the `partial` argument as well, which allows you to search by part of the value:
+    ```python
+    >>> for i in page.find('script').attrib.search_values('page', partial=True):
+            print(i)
+    {'id': 'page-data'}
+    ```
+    A more practical example is using it with `find_all` to find all elements that have a specific value in their attributes:
+    ```python
+    >>> page.find_all(lambda element: list(element.attrib.search_values('product')))
+    [<data='<article class="product" data-id="1"><h3...' parent='<div class="product-list"> <article clas...'>,
+     <data='<article class="product" data-id="2"><h3...' parent='<div class="product-list"> <article clas...'>,
+     <data='<article class="product" data-id="3"><h3...' parent='<div class="product-list"> <article clas...'>]
+    ```
+    All these elements have 'product' as the value for the `class` attribute.
+    
+    The `list` function is used here because `search_values` returns a generator, so it would be `True` for all elements.
+
+- The `json_string` property
+
+    This property converts current attributes to a JSON string if the attributes are JSON serializable; otherwise, it throws an error.
+  
+    ```python
+    >>>page.find('script').attrib.json_string
+    b'{"id":"page-data","type":"application/json"}'
+    ```

agent-skill/Scrapling-Skill/references/parsing/selection.md

@@ -0,0 +1,494 @@
+# Querying elements
+Scrapling currently supports parsing HTML pages exclusively (no XML feeds), because the adaptive feature does not work with XML.
+
+In Scrapling, there are five main ways to find elements:
+
+1. CSS3 Selectors
+2. XPath Selectors
+3. Finding elements based on filters/conditions.
+4. Finding elements whose content contains a specific text
+5. Finding elements whose content matches a specific regex
+
+There are also other indirect ways to find elements. Scrapling can also find elements similar to a given element; see [Finding Similar Elements](#finding-similar-elements).
+
+## CSS/XPath selectors
+
+### What are CSS selectors?
+[CSS](https://en.wikipedia.org/wiki/CSS) is a language for applying styles to HTML documents. It defines selectors to associate those styles with specific HTML elements.
+
+Scrapling implements CSS3 selectors as described in the [W3C specification](http://www.w3.org/TR/2011/REC-css3-selectors-20110929/). CSS selectors support comes from `cssselect`, so it's better to read about which [selectors are supported from cssselect](https://cssselect.readthedocs.io/en/latest/#supported-selectors) and pseudo-functions/elements.
+
+Also, Scrapling implements some non-standard pseudo-elements like:
+
+* To select text nodes, use ``::text``.
+* To select attribute values, use ``::attr(name)`` where name is the name of the attribute that you want the value of
+
+The selector logic follows the same conventions as Scrapy/Parsel.
+
+To select elements with CSS selectors, use the `css` method, which returns `Selectors`. Use `[0]` to get the first element, or `.get()` / `.getall()` to extract text values from text/attribute pseudo-selectors.
+
+### What are XPath selectors?
+[XPath](https://en.wikipedia.org/wiki/XPath) is a language for selecting nodes in XML documents, which can also be used with HTML. This [cheatsheet](https://devhints.io/xpath) is a good resource for learning about [XPath](https://en.wikipedia.org/wiki/XPath). Scrapling adds XPath selectors directly through [lxml](https://lxml.de/).
+
+The logic follows the same conventions as Scrapy/Parsel. However, Scrapling does not implement the XPath extension function `has-class` as Scrapy/Parsel does. Instead, it provides the `has_class` method on returned elements.
+
+To select elements with XPath selectors, use the `xpath` method, which follows the same logic as the CSS selectors method above.
+
+> Note that each method of `css` and `xpath` has additional arguments, but we didn't explain them here, as they are all about the adaptive feature. The adaptive feature will have its own page later to be described in detail.
+
+### Selectors examples
+Let's see some shared examples of using CSS and XPath Selectors.
+
+Select all elements with the class `product`.
+```python
+products = page.css('.product')
+products = page.xpath('//*[@class="product"]')
+```
+**Note:** The XPath version won't be accurate if there's another class; it's always better to rely on CSS for selecting by class.
+
+Select the first element with the class `product`.
+```python
+product = page.css('.product')[0]
+product = page.xpath('//*[@class="product"]')[0]
+```
+Get the text of the first element with the `h1` tag name
+```python
+title = page.css('h1::text').get()
+title = page.xpath('//h1//text()').get()
+```
+Which is the same as doing
+```python
+title = page.css('h1')[0].text
+title = page.xpath('//h1')[0].text
+```
+Get the `href` attribute of the first element with the `a` tag name
+```python
+link = page.css('a::attr(href)').get()
+link = page.xpath('//a/@href').get()
+```
+Select the text of the first element with the `h1` tag name, which contains `Phone`, and under an element with class `product`.
+```python
+title = page.css('.product h1:contains("Phone")::text').get()
+title = page.xpath('//*[@class="product"]//h1[contains(text(),"Phone")]/text()').get()
+```
+You can nest and chain selectors as you want, given that they return results
+```python
+page.css('.product')[0].css('h1:contains("Phone")::text').get()
+page.xpath('//*[@class="product"]')[0].xpath('//h1[contains(text(),"Phone")]/text()').get()
+page.xpath('//*[@class="product"]')[0].css('h1:contains("Phone")::text').get()
+```
+Another example
+
+All links that have 'image' in their 'href' attribute
+```python
+links = page.css('a[href*="image"]')
+links = page.xpath('//a[contains(@href, "image")]')
+for index, link in enumerate(links):
+    link_value = link.attrib['href']  # Cleaner than link.css('::attr(href)').get()
+    link_text = link.text
+    print(f'Link number {index} points to this url {link_value} with text content as "{link_text}"')
+```
+
+## Text-content selection
+Scrapling provides two ways to select elements based on their direct text content:
+
+1. Elements whose direct text content contains the given text with many options through the `find_by_text` method.
+2. Elements whose direct text content matches the given regex pattern with many options through the `find_by_regex` method.
+
+Anything achievable with `find_by_text` can also be done with `find_by_regex`, but both are provided for convenience.
+
+With `find_by_text`, you pass the text as the first argument; with `find_by_regex`, the regex pattern is the first argument. Both methods share the following arguments:
+
+* **first_match**: If `True` (the default), the method used will return the first result it finds.
+* **case_sensitive**: If `True`, the case of the letters will be considered.
+* **clean_match**: If `True`, all whitespaces and consecutive spaces will be replaced with a single space before matching.
+
+By default, Scrapling searches for the exact matching of the text/pattern you pass to `find_by_text`, so the text content of the wanted element has to be ONLY the text you input, but that's why it also has one extra argument, which is:
+
+* **partial**: If enabled, `find_by_text` will return elements that contain the input text. So it's not an exact match anymore
+
+**Note:** The method `find_by_regex` can accept both regular strings and a compiled regex pattern as its first argument.
+
+### Finding Similar Elements
+Scrapling can find elements similar to a given element, inspired by the AutoScraper library but usable with elements found by any method.
+
+Given an element (e.g., a product found by title), calling `.find_similar()` on it causes Scrapling to:
+
+1. Find all page elements with the same DOM tree depth as this element. 
+2. All found elements will be checked, and those without the same tag name, parent tag name, and grandparent tag name will be dropped.
+3. As a final check, Scrapling uses fuzzy matching to drop elements whose attributes don't resemble the original element's attributes. A configurable percentage controls this step (see arguments below).
+
+Arguments for `find_similar()`:
+
+* **similarity_threshold**: The percentage for comparing elements' attributes (step 3). Default is 0.2 (tag attributes must be at least 20% similar). Set to 0 to disable this check entirely.
+* **ignore_attributes**: The attribute names passed will be ignored while matching the attributes in the last step. The default value is `('href', 'src',)` because URLs can change significantly across elements, making them unreliable.
+* **match_text**: If `True`, the element's text content will be considered when matching (Step 3). Using this argument in typical cases is not recommended, but it depends.
+
+### Examples
+Examples of finding elements with raw text, regex, and `find_similar`.
+```python
+from scrapling.fetchers import Fetcher
+page = Fetcher.get('https://books.toscrape.com/index.html')
+```
+Find the first element whose text fully matches this text
+```python
+>>> page.find_by_text('Tipping the Velvet')
+<data='<a href="catalogue/tipping-the-velvet_99...' parent='<h3><a href="catalogue/tipping-the-velve...'>
+```
+Combining it with `page.urljoin` to return the full URL from the relative `href`.
+```python
+>>> page.find_by_text('Tipping the Velvet').attrib['href']
+'catalogue/tipping-the-velvet_999/index.html'
+>>> page.urljoin(page.find_by_text('Tipping the Velvet').attrib['href'])
+'https://books.toscrape.com/catalogue/tipping-the-velvet_999/index.html'
+```
+Get all matches if there are more (notice it returns a list)
+```python
+>>> page.find_by_text('Tipping the Velvet', first_match=False)
+[<data='<a href="catalogue/tipping-the-velvet_99...' parent='<h3><a href="catalogue/tipping-the-velve...'>]
+```
+Get all elements that contain the word `the` (Partial matching)
+```python
+>>> results = page.find_by_text('the', partial=True, first_match=False)
+>>> [i.text for i in results]
+['A Light in the ...',
+ 'Tipping the Velvet',
+ 'The Requiem Red',
+ 'The Dirty Little Secrets ...',
+ 'The Coming Woman: A ...',
+ 'The Boys in the ...',
+ 'The Black Maria',
+ 'Mesaerion: The Best Science ...',
+ "It's Only the Himalayas"]
+```
+The search is case-insensitive by default, so those results include `The`, not just the lowercase `the`. To limit to exact case:
+```python
+>>> results = page.find_by_text('the', partial=True, first_match=False, case_sensitive=True)
+>>> [i.text for i in results]
+['A Light in the ...',
+ 'Tipping the Velvet',
+ 'The Boys in the ...',
+ "It's Only the Himalayas"]
+```
+Get the first element whose text content matches my price regex
+```python
+>>> page.find_by_regex(r'£[\d\.]+')
+<data='<p class="price_color">£51.77</p>' parent='<div class="product_price"> <p class="pr...'>
+>>> page.find_by_regex(r'£[\d\.]+').text
+'£51.77'
+```
+It's the same if you pass the compiled regex as well; Scrapling will detect the input type and act upon that:
+```python
+>>> import re
+>>> regex = re.compile(r'£[\d\.]+')
+>>> page.find_by_regex(regex)
+<data='<p class="price_color">£51.77</p>' parent='<div class="product_price"> <p class="pr...'>
+>>> page.find_by_regex(regex).text
+'£51.77'
+```
+Get all elements that match the regex
+```python
+>>> page.find_by_regex(r'£[\d\.]+', first_match=False)
+[<data='<p class="price_color">£51.77</p>' parent='<div class="product_price"> <p class="pr...'>,
+ <data='<p class="price_color">£53.74</p>' parent='<div class="product_price"> <p class="pr...'>,
+ <data='<p class="price_color">£50.10</p>' parent='<div class="product_price"> <p class="pr...'>,
+ <data='<p class="price_color">£47.82</p>' parent='<div class="product_price"> <p class="pr...'>,
+ ...]
+```
+And so on...
+
+Find all elements similar to the current element in location and attributes. For our case, ignore the 'title' attribute while matching
+```python
+>>> element = page.find_by_text('Tipping the Velvet')
+>>> element.find_similar(ignore_attributes=['title'])
+[<data='<a href="catalogue/a-light-in-the-attic_...' parent='<h3><a href="catalogue/a-light-in-the-at...'>,
+ <data='<a href="catalogue/soumission_998/index....' parent='<h3><a href="catalogue/soumission_998/in...'>,
+ <data='<a href="catalogue/sharp-objects_997/ind...' parent='<h3><a href="catalogue/sharp-objects_997...'>,
+...]
+```
+The number of elements is 19, not 20, because the current element is not included in the results:
+```python
+>>> len(element.find_similar(ignore_attributes=['title']))
+19
+```
+Get the `href` attribute from all similar elements
+```python
+>>> [
+    element.attrib['href']
+    for element in element.find_similar(ignore_attributes=['title'])
+]
+['catalogue/a-light-in-the-attic_1000/index.html',
+ 'catalogue/soumission_998/index.html',
+ 'catalogue/sharp-objects_997/index.html',
+ ...]
+```
+Getting all books' data using that element as a starting point:
+```python
+>>> for product in element.parent.parent.find_similar():
+        print({
+            "name": product.css('h3 a::text').get(),
+            "price": product.css('.price_color')[0].re_first(r'[\d\.]+'),
+            "stock": product.css('.availability::text').getall()[-1].clean()
+        })
+{'name': 'A Light in the ...', 'price': '51.77', 'stock': 'In stock'}
+{'name': 'Soumission', 'price': '50.10', 'stock': 'In stock'}
+{'name': 'Sharp Objects', 'price': '47.82', 'stock': 'In stock'}
+...
+```
+### Advanced examples
+Advanced examples using the `find_similar` method:
+
+E-commerce Product Extraction
+```python
+def extract_product_grid(page):
+    # Find the first product card
+    first_product = page.find_by_text('Add to Cart').find_ancestor(
+        lambda e: e.has_class('product-card')
+    )
+
+    # Find similar product cards
+    products = first_product.find_similar()
+
+    return [
+        {
+            'name': p.css('h3::text').get(),
+            'price': p.css('.price::text').re_first(r'\d+\.\d{2}'),
+            'stock': 'In stock' in p.text,
+            'rating': p.css('.rating')[0].attrib.get('data-rating')
+        }
+        for p in products
+    ]
+```
+Table Row Extraction
+```python
+def extract_table_data(page):
+    # Find the first data row
+    first_row = page.css('table tbody tr')[0]
+
+    # Find similar rows
+    rows = first_row.find_similar()
+
+    return [
+        {
+            'column1': row.css('td:nth-child(1)::text').get(),
+            'column2': row.css('td:nth-child(2)::text').get(),
+            'column3': row.css('td:nth-child(3)::text').get()
+        }
+        for row in rows
+    ]
+```
+Form Field Extraction
+```python
+def extract_form_fields(page):
+    # Find first form field container
+    first_field = page.css('input')[0].find_ancestor(
+        lambda e: e.has_class('form-field')
+    )
+
+    # Find similar field containers
+    fields = first_field.find_similar()
+
+    return [
+        {
+            'label': f.css('label::text').get(),
+            'type': f.css('input')[0].attrib.get('type'),
+            'required': 'required' in f.css('input')[0].attrib
+        }
+        for f in fields
+    ]
+```
+Extracting reviews from a website
+```python
+def extract_reviews(page):
+    # Find first review
+    first_review = page.find_by_text('Great product!')
+    review_container = first_review.find_ancestor(
+        lambda e: e.has_class('review')
+    )
+    
+    # Find similar reviews
+    all_reviews = review_container.find_similar()
+    
+    return [
+        {
+            'text': r.css('.review-text::text').get(),
+            'rating': r.attrib.get('data-rating'),
+            'author': r.css('.reviewer::text').get()
+        }
+        for r in all_reviews
+    ]
+```
+## Filters-based searching
+Inspired by BeautifulSoup's `find_all` function, elements can be found using the `find_all` and `find` methods. Both methods accept multiple filters and return all elements on the pages where all filters apply.
+
+To be more specific:
+
+* Any string passed is considered a tag name.
+* Any iterable passed, like List/Tuple/Set, will be considered as an iterable of tag names.
+* Any dictionary is considered a mapping of HTML element(s), attribute names, and attribute values.
+* Any regex patterns passed are used to filter elements by content, like the `find_by_regex` method
+* Any functions passed are used to filter elements
+* Any keyword argument passed is considered as an HTML element attribute with its value.
+
+It collects all passed arguments and keywords, and each filter passes its results to the following filter in a waterfall-like filtering system.
+
+It filters all elements in the current page/element in the following order:
+
+1. All elements with the passed tag name(s) get collected.
+2. All elements that match all passed attribute(s) are collected; if a previous filter is used, then previously collected elements are filtered.
+3. All elements that match all passed regex patterns are collected, or if previous filter(s) are used, then previously collected elements are filtered.
+4. All elements that fulfill all passed function(s) are collected; if a previous filter(s) is used, then previously collected elements are filtered.
+
+**Notes:**
+
+1. The filtering process always starts from the first filter it finds in the filtering order above. If no tag name(s) are passed but attributes are passed, the process starts from step 2, and so on.
+2. The order in which arguments are passed does not matter. The only order considered is the one explained above.
+
+### Examples
+```python
+>>> from scrapling.fetchers import Fetcher
+>>> page = Fetcher.get('https://quotes.toscrape.com/')
+```
+Find all elements with the tag name `div`.
+```python
+>>> page.find_all('div')
+[<data='<div class="container"> <div class="row...' parent='<body> <div class="container"> <div clas...'>,
+ <data='<div class="row header-box"> <div class=...' parent='<div class="container"> <div class="row...'>,
+...]
+```
+Find all div elements with a class that equals `quote`.
+```python
+>>> page.find_all('div', class_='quote')
+[<data='<div class="quote" itemscope itemtype="h...' parent='<div class="col-md-8"> <div class="quote...'>,
+ <data='<div class="quote" itemscope itemtype="h...' parent='<div class="col-md-8"> <div class="quote...'>,
+...]
+```
+Same as above.
+```python
+>>> page.find_all('div', {'class': 'quote'})
+[<data='<div class="quote" itemscope itemtype="h...' parent='<div class="col-md-8"> <div class="quote...'>,
+ <data='<div class="quote" itemscope itemtype="h...' parent='<div class="col-md-8"> <div class="quote...'>,
+...]
+```
+Find all elements with a class that equals `quote`.
+```python
+>>> page.find_all({'class': 'quote'})
+[<data='<div class="quote" itemscope itemtype="h...' parent='<div class="col-md-8"> <div class="quote...'>,
+ <data='<div class="quote" itemscope itemtype="h...' parent='<div class="col-md-8"> <div class="quote...'>,
+...]
+```
+Find all div elements with a class that equals `quote` and contains the element `.text`, which contains the word 'world' in its content.
+```python
+>>> page.find_all('div', {'class': 'quote'}, lambda e: "world" in e.css('.text::text').get())
+[<data='<div class="quote" itemscope itemtype="h...' parent='<div class="col-md-8"> <div class="quote...'>]
+```
+Find all elements that have children.
+```python
+>>> page.find_all(lambda element: len(element.children) > 0)
+[<data='<html lang="en"><head><meta charset="UTF...'>,
+ <data='<head><meta charset="UTF-8"><title>Quote...' parent='<html lang="en"><head><meta charset="UTF...'>,
+ <data='<body> <div class="container"> <div clas...' parent='<html lang="en"><head><meta charset="UTF...'>,
+...]
+```
+Find all elements that contain the word 'world' in their content.
+```python
+>>> page.find_all(lambda element: "world" in element.text)
+[<data='<span class="text" itemprop="text">“The...' parent='<div class="quote" itemscope itemtype="h...'>,
+ <data='<a class="tag" href="/tag/world/page/1/"...' parent='<div class="tags"> Tags: <meta class="ke...'>]
+```
+Find all span elements that match the given regex
+```python
+>>> page.find_all('span', re.compile(r'world'))
+[<data='<span class="text" itemprop="text">“The...' parent='<div class="quote" itemscope itemtype="h...'>]
+```
+Find all div and span elements with class 'quote' (No span elements like that, so only div returned)
+```python
+>>> page.find_all(['div', 'span'], {'class': 'quote'})
+[<data='<div class="quote" itemscope itemtype="h...' parent='<div class="col-md-8"> <div class="quote...'>,
+ <data='<div class="quote" itemscope itemtype="h...' parent='<div class="col-md-8"> <div class="quote...'>,
+...]
+```
+Mix things up
+```python
+>>> page.find_all({'itemtype':"http://schema.org/CreativeWork"}, 'div').css('.author::text').getall()
+['Albert Einstein',
+ 'J.K. Rowling',
+...]
+```
+A bonus pro tip: Find all elements whose `href` attribute's value ends with the word 'Einstein'.
+```python
+>>> page.find_all({'href$': 'Einstein'})
+[<data='<a href="/author/Albert-Einstein">(about...' parent='<span>by <small class="author" itemprop=...'>,
+ <data='<a href="/author/Albert-Einstein">(about...' parent='<span>by <small class="author" itemprop=...'>,
+ <data='<a href="/author/Albert-Einstein">(about...' parent='<span>by <small class="author" itemprop=...'>]
+```
+Another pro tip: Find all elements whose `href` attribute's value has '/author/' in it
+```python
+>>> page.find_all({'href*': '/author/'})
+[<data='<a href="/author/Albert-Einstein">(about...' parent='<span>by <small class="author" itemprop=...'>,
+ <data='<a href="/author/J-K-Rowling">(about)</a...' parent='<span>by <small class="author" itemprop=...'>,
+ <data='<a href="/author/Albert-Einstein">(about...' parent='<span>by <small class="author" itemprop=...'>,
+...]
+```
+And so on...
+
+## Generating selectors
+CSS/XPath selectors can be generated for any element, regardless of the method used to find it.
+
+Generate a short CSS selector for the `url_element` element (if possible, create a short one; otherwise, it's a full selector)
+```python
+>>> url_element = page.find({'href*': '/author/'})
+>>> url_element.generate_css_selector
+'body > div > div:nth-of-type(2) > div > div > span:nth-of-type(2) > a'
+```
+Generate a full CSS selector for the `url_element` element from the start of the page
+```python
+>>> url_element.generate_full_css_selector
+'body > div > div:nth-of-type(2) > div > div > span:nth-of-type(2) > a'
+```
+Generate a short XPath selector for the `url_element` element (if possible, create a short one; otherwise, it's a full selector)
+```python
+>>> url_element.generate_xpath_selector
+'//body/div/div[2]/div/div/span[2]/a'
+```
+Generate a full XPath selector for the `url_element` element from the start of the page
+```python
+>>> url_element.generate_full_xpath_selector
+'//body/div/div[2]/div/div/span[2]/a'
+```
+**Note:** When generating a short selector, Scrapling tries to find a unique element (e.g., one with an `id` attribute) as a stop point. If none exists, the short and full selectors will be identical.
+
+## Using selectors with regular expressions
+Similar to `parsel`/`scrapy`, `re` and `re_first` methods are available for extracting data using regular expressions. These methods exist in `Selector`, `Selectors`, `TextHandler`, and `TextHandlers`, so they can be used directly on elements even without selecting a text node. See the [TextHandler](main_classes.md#texthandler) class for details.
+
+Examples:
+```python
+>>> page.css('.price_color')[0].re_first(r'[\d\.]+')
+'51.77'
+
+>>> page.css('.price_color').re_first(r'[\d\.]+')
+'51.77'
+
+>>> page.css('.price_color').re(r'[\d\.]+')
+['51.77',
+ '53.74',
+ '50.10',
+ '47.82',
+ '54.23',
+...]
+
+>>> page.css('.product_pod h3 a::attr(href)').re(r'catalogue/(.*)/index.html')
+['a-light-in-the-attic_1000',
+ 'tipping-the-velvet_999',
+ 'soumission_998',
+ 'sharp-objects_997',
+...]
+
+>>> filtering_function = lambda e: e.parent.tag == 'h3' and e.parent.parent.has_class('product_pod')  # As above selector
+>>> page.find('a', filtering_function).attrib['href'].re(r'catalogue/(.*)/index.html')
+['a-light-in-the-attic_1000']
+
+>>> page.find_by_text('Tipping the Velvet').attrib['href'].re(r'catalogue/(.*)/index.html')
+['tipping-the-velvet_999']
+```
+See the [TextHandler](main_classes.md#texthandler) class for more details on regex methods.

agent-skill/Scrapling-Skill/references/spiders/advanced.md

@@ -0,0 +1,297 @@
+# Advanced usages
+
+## Concurrency Control
+
+The spider system uses three class attributes to control how aggressively it crawls:
+
+| Attribute                        | Default | Description                                                      |
+|----------------------------------|---------|------------------------------------------------------------------|
+| `concurrent_requests`            | `4`     | Maximum number of requests being processed at the same time      |
+| `concurrent_requests_per_domain` | `0`     | Maximum concurrent requests per domain (0 = no per-domain limit) |
+| `download_delay`                 | `0.0`   | Seconds to wait before each request                              |
+
+```python
+class PoliteSpider(Spider):
+    name = "polite"
+    start_urls = ["https://example.com"]
+
+    # Be gentle with the server
+    concurrent_requests = 4
+    concurrent_requests_per_domain = 2
+    download_delay = 1.0  # Wait 1 second between requests
+
+    async def parse(self, response: Response):
+        yield {"title": response.css("title::text").get("")}
+```
+
+When `concurrent_requests_per_domain` is set, each domain gets its own concurrency limiter in addition to the global limit. This is useful when crawling multiple domains simultaneously — you can allow high global concurrency while being polite to each individual domain.
+
+**Tip:** The `download_delay` parameter adds a fixed wait before every request, regardless of the domain. Use it for simple rate limiting.
+
+### Using uvloop
+
+The `start()` method accepts a `use_uvloop` parameter to use the faster [uvloop](https://github.com/MagicStack/uvloop)/[winloop](https://github.com/nicktimko/winloop) event loop implementation, if available:
+
+```python
+result = MySpider().start(use_uvloop=True)
+```
+
+This can improve throughput for I/O-heavy crawls. You'll need to install `uvloop` (Linux/macOS) or `winloop` (Windows) separately.
+
+## Pause & Resume
+
+The spider supports graceful pause-and-resume via checkpointing. To enable it, pass a `crawldir` directory to the spider constructor:
+
+```python
+spider = MySpider(crawldir="crawl_data/my_spider")
+result = spider.start()
+
+if result.paused:
+    print("Crawl was paused. Run again to resume.")
+else:
+    print("Crawl completed!")
+```
+
+### How It Works
+
+1. **Pausing**: Press `Ctrl+C` during a crawl. The spider waits for all in-flight requests to finish, saves a checkpoint (pending requests + a set of seen request fingerprints), and then exits.
+2. **Force stopping**: Press `Ctrl+C` a second time to stop immediately without waiting for active tasks.
+3. **Resuming**: Run the spider again with the same `crawldir`. It detects the checkpoint, restores the queue and seen set, and continues from where it left off — skipping `start_requests()`.
+4. **Cleanup**: When a crawl completes normally (not paused), the checkpoint files are deleted automatically.
+
+**Checkpoints are also saved periodically during the crawl (every 5 minutes by default).** 
+
+You can change the interval as follows:
+
+```python
+# Save checkpoint every 2 minutes
+spider = MySpider(crawldir="crawl_data/my_spider", interval=120.0)
+```
+
+The writing to the disk is atomic, so it's totally safe.
+
+**Tip:** Pressing `Ctrl+C` during a crawl always causes the spider to close gracefully, even if the checkpoint system is not enabled. Doing it again without waiting forces the spider to close immediately.
+
+### Knowing If You're Resuming
+
+The `on_start()` hook receives a `resuming` flag:
+
+```python
+async def on_start(self, resuming: bool = False):
+    if resuming:
+        self.logger.info("Resuming from checkpoint!")
+    else:
+        self.logger.info("Starting fresh crawl")
+```
+
+## Streaming
+
+For long-running spiders or applications that need real-time access to scraped items, use the `stream()` method instead of `start()`:
+
+```python
+import anyio
+
+async def main():
+    spider = MySpider()
+    async for item in spider.stream():
+        print(f"Got item: {item}")
+        # Access real-time stats
+        print(f"Items so far: {spider.stats.items_scraped}")
+        print(f"Requests made: {spider.stats.requests_count}")
+
+anyio.run(main)
+```
+
+Key differences from `start()`:
+
+- `stream()` must be called from an async context
+- Items are yielded one by one as they're scraped, not collected into a list
+- You can access `spider.stats` during iteration for real-time statistics
+
+**Note:** The full list of all stats that can be accessed by `spider.stats` is explained below [here](#results--statistics).
+
+You can use it with the checkpoint system too, so it's easy to build UI on top of spiders. UIs that have real-time data and can be paused/resumed.
+
+```python
+import anyio
+
+async def main():
+    spider = MySpider(crawldir="crawl_data/my_spider")
+    async for item in spider.stream():
+        print(f"Got item: {item}")
+        # Access real-time stats
+        print(f"Items so far: {spider.stats.items_scraped}")
+        print(f"Requests made: {spider.stats.requests_count}")
+
+anyio.run(main)
+```
+You can also use `spider.pause()` to shut down the spider in the code above. If you used it without enabling the checkpoint system, it will just close the crawl.
+
+## Lifecycle Hooks
+
+The spider provides several hooks you can override to add custom behavior at different stages of the crawl:
+
+### on_start
+
+Called before crawling begins. Use it for setup tasks like loading data or initializing resources:
+
+```python
+async def on_start(self, resuming: bool = False):
+    self.logger.info("Spider starting up")
+    # Load seed URLs from a database, initialize counters, etc.
+```
+
+### on_close
+
+Called after crawling finishes (whether completed or paused). Use it for cleanup:
+
+```python
+async def on_close(self):
+    self.logger.info("Spider shutting down")
+    # Close database connections, flush buffers, etc.
+```
+
+### on_error
+
+Called when a request fails with an exception. Use it for error tracking or custom recovery logic:
+
+```python
+async def on_error(self, request: Request, error: Exception):
+    self.logger.error(f"Failed: {request.url} - {error}")
+    # Log to error tracker, save failed URL for later, etc.
+```
+
+### on_scraped_item
+
+Called for every scraped item before it's added to the results. Return the item (modified or not) to keep it, or return `None` to drop it:
+
+```python
+async def on_scraped_item(self, item: dict) -> dict | None:
+    # Drop items without a title
+    if not item.get("title"):
+        return None
+
+    # Modify items (e.g., add timestamps)
+    item["scraped_at"] = "2026-01-01"
+    return item
+```
+
+**Tip:** This hook can also be used to direct items through your own pipelines and drop them from the spider.
+
+### start_requests
+
+Override `start_requests()` for custom initial request generation instead of using `start_urls`:
+
+```python
+async def start_requests(self):
+    # POST request to log in first
+    yield Request(
+        "https://example.com/login",
+        method="POST",
+        data={"user": "admin", "pass": "secret"},
+        callback=self.after_login,
+    )
+
+async def after_login(self, response: Response):
+    # Now crawl the authenticated pages
+    yield response.follow("/dashboard", callback=self.parse)
+```
+
+## Results & Statistics
+
+The `CrawlResult` returned by `start()` contains both the scraped items and detailed statistics:
+
+```python
+result = MySpider().start()
+
+# Items
+print(f"Total items: {len(result.items)}")
+result.items.to_json("output.json", indent=True)
+
+# Did the crawl complete?
+print(f"Completed: {result.completed}")
+print(f"Paused: {result.paused}")
+
+# Statistics
+stats = result.stats
+print(f"Requests: {stats.requests_count}")
+print(f"Failed: {stats.failed_requests_count}")
+print(f"Blocked: {stats.blocked_requests_count}")
+print(f"Offsite filtered: {stats.offsite_requests_count}")
+print(f"Items scraped: {stats.items_scraped}")
+print(f"Items dropped: {stats.items_dropped}")
+print(f"Response bytes: {stats.response_bytes}")
+print(f"Duration: {stats.elapsed_seconds:.1f}s")
+print(f"Speed: {stats.requests_per_second:.1f} req/s")
+```
+
+### Detailed Stats
+
+The `CrawlStats` object tracks granular information:
+
+```python
+stats = result.stats
+
+# Status code distribution
+print(stats.response_status_count)
+# {'status_200': 150, 'status_404': 3, 'status_403': 1}
+
+# Bytes downloaded per domain
+print(stats.domains_response_bytes)
+# {'example.com': 1234567, 'api.example.com': 45678}
+
+# Requests per session
+print(stats.sessions_requests_count)
+# {'http': 120, 'stealth': 34}
+
+# Proxies used during the crawl
+print(stats.proxies)
+# ['http://proxy1:8080', 'http://proxy2:8080']
+
+# Log level counts
+print(stats.log_levels_counter)
+# {'debug': 200, 'info': 50, 'warning': 3, 'error': 1, 'critical': 0}
+
+# Timing information
+print(stats.start_time)       # Unix timestamp when crawl started
+print(stats.end_time)         # Unix timestamp when crawl finished
+print(stats.download_delay)   # The download delay used (seconds)
+
+# Concurrency settings used
+print(stats.concurrent_requests)             # Global concurrency limit
+print(stats.concurrent_requests_per_domain)  # Per-domain concurrency limit
+
+# Custom stats (set by your spider code)
+print(stats.custom_stats)
+# {'login_attempts': 3, 'pages_with_errors': 5}
+
+# Export everything as a dict
+print(stats.to_dict())
+```
+
+## Logging
+
+The spider has a built-in logger accessible via `self.logger`. It's pre-configured with the spider's name and supports several customization options:
+
+| Attribute             | Default                                                      | Description                                        |
+|-----------------------|--------------------------------------------------------------|----------------------------------------------------|
+| `logging_level`       | `logging.DEBUG`                                              | Minimum log level                                  |
+| `logging_format`      | `"[%(asctime)s]:({spider_name}) %(levelname)s: %(message)s"` | Log message format                                 |
+| `logging_date_format` | `"%Y-%m-%d %H:%M:%S"`                                        | Date format in log messages                        |
+| `log_file`            | `None`                                                       | Path to a log file (in addition to console output) |
+
+```python
+import logging
+
+class MySpider(Spider):
+    name = "my_spider"
+    start_urls = ["https://example.com"]
+    logging_level = logging.INFO
+    log_file = "logs/my_spider.log"
+
+    async def parse(self, response: Response):
+        self.logger.info(f"Processing {response.url}")
+        yield {"title": response.css("title::text").get("")}
+```
+
+The log file directory is created automatically if it doesn't exist. Both console and file output use the same format.

agent-skill/Scrapling-Skill/references/spiders/architecture.md

@@ -0,0 +1,89 @@
+# Spiders architecture
+
+Scrapling's spider system is an async crawling framework designed for concurrent, multi-session crawls with built-in pause/resume support. It brings together Scrapling's parsing engine and fetchers into a unified crawling API while adding scheduling, concurrency control, and checkpointing.
+
+## Data Flow
+
+The diagram below shows how data flows through the spider system when a crawl is running:
+
+Here's what happens step by step when you run a spider:
+
+1. The **Spider** produces the first batch of `Request` objects. By default, it creates one request for each URL in `start_urls`, but you can override `start_requests()` for custom logic.
+2. The **Scheduler** receives requests and places them in a priority queue, and creates fingerprints for them. Higher-priority requests are dequeued first.
+3. The **Crawler Engine** asks the **Scheduler** to dequeue the next request, respecting concurrency limits (global and per-domain) and download delays. Once the **Crawler Engine** receives the request, it passes it to the **Session Manager**, which routes it to the correct session based on the request's `sid` (session ID).
+4. The **session** fetches the page and returns a [Response](fetching/choosing.md#response-object) object to the **Crawler Engine**. The engine records statistics and checks for blocked responses. If the response is blocked, the engine retries the request up to `max_blocked_retries` times. Of course, the blocking detection and the retry logic for blocked requests can be customized.
+5. The **Crawler Engine** passes the [Response](fetching/choosing.md#response-object) to the request's callback. The callback either yields a dictionary, which gets treated as a scraped item, or a follow-up request, which gets sent to the scheduler for queuing.
+6. The cycle repeats from step 2 until the scheduler is empty and no tasks are active, or the spider is paused.
+7. If `crawldir` is set while starting the spider, the **Crawler Engine** periodically saves a checkpoint (pending requests + seen URLs set) to disk. On graceful shutdown (Ctrl+C), a final checkpoint is saved. The next time the spider runs with the same `crawldir`, it resumes from where it left off — skipping `start_requests()` and restoring the scheduler state.
+
+
+## Components
+
+### Spider
+
+The central class you interact with. You subclass `Spider`, define your `start_urls` and `parse()` method, and optionally configure sessions and override lifecycle hooks.
+
+```python
+from scrapling.spiders import Spider, Response, Request
+
+class MySpider(Spider):
+    name = "my_spider"
+    start_urls = ["https://example.com"]
+
+    async def parse(self, response: Response):
+        for link in response.css("a::attr(href)").getall():
+            yield response.follow(link, callback=self.parse_page)
+
+    async def parse_page(self, response: Response):
+        yield {"title": response.css("h1::text").get("")}
+```
+
+### Crawler Engine
+
+The engine orchestrates the entire crawl. It manages the main loop, enforces concurrency limits, dispatches requests through the Session Manager, and processes results from callbacks. You don't interact with it directly — the `Spider.start()` and `Spider.stream()` methods handle it for you.
+
+### Scheduler
+
+A priority queue with built-in URL deduplication. Requests are fingerprinted based on their URL, HTTP method, body, and session ID. The scheduler supports `snapshot()` and `restore()` for the checkpoint system, allowing the crawl state to be saved and resumed.
+
+### Session Manager
+
+Manages one or more named session instances. Each session is one of:
+
+- [FetcherSession](fetching/static.md)
+- [AsyncDynamicSession](fetching/dynamic.md)
+- [AsyncStealthySession](fetching/stealthy.md)
+
+When a request comes in, the Session Manager routes it to the correct session based on the request's `sid` field. Sessions can be started with the spider start (default) or lazily (started on the first use).
+
+### Checkpoint System
+
+An optional system that, if enabled, saves the crawler's state (pending requests + seen URL fingerprints) to a pickle file on disk. Writes are atomic (temp file + rename) to prevent corruption. Checkpoints are saved periodically at a configurable interval and on graceful shutdown. Upon successful completion (not paused), checkpoint files are automatically cleaned up.
+
+### Output
+
+Scraped items are collected in an `ItemList` (a list subclass with `to_json()` and `to_jsonl()` export methods). Crawl statistics are tracked in a `CrawlStats` dataclass which contains a lot of useful info.
+
+
+## Comparison with Scrapy
+
+If you're coming from Scrapy, here's how Scrapling's spider system maps:
+
+| Concept            | Scrapy                        | Scrapling                                                       |
+|--------------------|-------------------------------|-----------------------------------------------------------------|
+| Spider definition  | `scrapy.Spider` subclass      | `scrapling.spiders.Spider` subclass                             |
+| Initial requests   | `start_requests()`            | `async start_requests()`                                        |
+| Callbacks          | `def parse(self, response)`   | `async def parse(self, response)`                               |
+| Following links    | `response.follow(url)`        | `response.follow(url)`                                          |
+| Item output        | `yield dict` or `yield Item`  | `yield dict`                                                    |
+| Request scheduling | Scheduler + Dupefilter        | Scheduler with built-in deduplication                           |
+| Downloading        | Downloader + Middlewares      | Session Manager with multi-session support                      |
+| Item processing    | Item Pipelines                | `on_scraped_item()` hook                                        |
+| Blocked detection  | Through custom middlewares    | Built-in `is_blocked()` + `retry_blocked_request()` hooks       |
+| Concurrency        | `CONCURRENT_REQUESTS` setting | `concurrent_requests` class attribute                           |
+| Domain filtering   | `allowed_domains`             | `allowed_domains`                                               |
+| Pause/Resume       | `JOBDIR` setting              | `crawldir` constructor argument                                 |
+| Export             | Feed exports                  | `result.items.to_json()` / `to_jsonl()` or custom through hooks |
+| Running            | `scrapy crawl spider_name`    | `MySpider().start()`                                            |
+| Streaming          | N/A                           | `async for item in spider.stream()`                             |
+| Multi-session      | N/A                           | Multiple sessions with different types per spider               |

agent-skill/Scrapling-Skill/references/spiders/getting-started.md

@@ -0,0 +1,139 @@
+# Getting started
+
+## Your First Spider
+
+A spider is a class that defines how to crawl and extract data from websites. Here's the simplest possible spider:
+
+```python
+from scrapling.spiders import Spider, Response
+
+class QuotesSpider(Spider):
+    name = "quotes"
+    start_urls = ["https://quotes.toscrape.com"]
+
+    async def parse(self, response: Response):
+        for quote in response.css("div.quote"):
+            yield {
+                "text": quote.css("span.text::text").get(""),
+                "author": quote.css("small.author::text").get(""),
+            }
+```
+
+Every spider needs three things:
+
+1. **`name`** — A unique identifier for the spider.
+2. **`start_urls`** — A list of URLs to start crawling from.
+3. **`parse()`** — An async generator method that processes each response and yields results.
+
+The `parse()` method processes each response. You use the same selection methods you'd use with Scrapling's [Selector](parsing/main_classes.md#selector)/[Response](fetching/choosing.md#response-object), and `yield` dictionaries to output scraped items.
+
+## Running the Spider
+
+To run your spider, create an instance and call `start()`:
+
+```python
+result = QuotesSpider().start()
+```
+
+The `start()` method handles all the async machinery internally — no need to worry about event loops. While the spider is running, everything that happens is logged to the terminal, and at the end of the crawl, you get very detailed stats.
+
+Those stats are in the returned `CrawlResult` object, which gives you everything you need:
+
+```python
+result = QuotesSpider().start()
+
+# Access scraped items
+for item in result.items:
+    print(item["text"], "-", item["author"])
+
+# Check statistics
+print(f"Scraped {result.stats.items_scraped} items")
+print(f"Made {result.stats.requests_count} requests")
+print(f"Took {result.stats.elapsed_seconds:.1f} seconds")
+
+# Did the crawl finish or was it paused?
+print(f"Completed: {result.completed}")
+```
+
+## Following Links
+
+Most crawls need to follow links across multiple pages. Use `response.follow()` to create follow-up requests:
+
+```python
+from scrapling.spiders import Spider, Response
+
+class QuotesSpider(Spider):
+    name = "quotes"
+    start_urls = ["https://quotes.toscrape.com"]
+
+    async def parse(self, response: Response):
+        # Extract items from the current page
+        for quote in response.css("div.quote"):
+            yield {
+                "text": quote.css("span.text::text").get(""),
+                "author": quote.css("small.author::text").get(""),
+            }
+
+        # Follow the "next page" link
+        next_page = response.css("li.next a::attr(href)").get()
+        if next_page:
+            yield response.follow(next_page, callback=self.parse)
+```
+
+`response.follow()` handles relative URLs automatically — it joins them with the current page's URL. It also sets the current page as the `Referer` header by default.
+
+You can point follow-up requests at different callback methods for different page types:
+
+```python
+async def parse(self, response: Response):
+    for link in response.css("a.product-link::attr(href)").getall():
+        yield response.follow(link, callback=self.parse_product)
+
+async def parse_product(self, response: Response):
+    yield {
+        "name": response.css("h1::text").get(""),
+        "price": response.css(".price::text").get(""),
+    }
+```
+
+**Note:** All callback methods must be async generators (using `async def` and `yield`).
+
+## Exporting Data
+
+The `ItemList` returned in `result.items` has built-in export methods:
+
+```python
+result = QuotesSpider().start()
+
+# Export as JSON
+result.items.to_json("quotes.json")
+
+# Export as JSON with pretty-printing
+result.items.to_json("quotes.json", indent=True)
+
+# Export as JSON Lines (one JSON object per line)
+result.items.to_jsonl("quotes.jsonl")
+```
+
+Both methods create parent directories automatically if they don't exist.
+
+## Filtering Domains
+
+Use `allowed_domains` to restrict the spider to specific domains. This prevents it from accidentally following links to external websites:
+
+```python
+class MySpider(Spider):
+    name = "my_spider"
+    start_urls = ["https://example.com"]
+    allowed_domains = {"example.com"}
+
+    async def parse(self, response: Response):
+        for link in response.css("a::attr(href)").getall():
+            # Links to other domains are silently dropped
+            yield response.follow(link, callback=self.parse)
+```
+
+Subdomains are matched automatically — setting `allowed_domains = {"example.com"}` also allows `sub.example.com`, `blog.example.com`, etc.
+
+When a request is filtered out, it's counted in `stats.offsite_requests_count` so you can see how many were dropped.
+

agent-skill/Scrapling-Skill/references/spiders/proxy-blocking.md

@@ -0,0 +1,235 @@
+# Proxy management and handling Blocks
+
+Scrapling's `ProxyRotator` manages proxy rotation across requests. It works with all session types and integrates with the spider's blocked request retry system.
+
+## ProxyRotator
+
+The `ProxyRotator` class manages a list of proxies and rotates through them automatically. Pass it to any session type via the `proxy_rotator` parameter:
+
+```python
+from scrapling.spiders import Spider, Response
+from scrapling.fetchers import FetcherSession, ProxyRotator
+
+class MySpider(Spider):
+    name = "my_spider"
+    start_urls = ["https://example.com"]
+
+    def configure_sessions(self, manager):
+        rotator = ProxyRotator([
+            "http://proxy1:8080",
+            "http://proxy2:8080",
+            "http://user:pass@proxy3:8080",
+        ])
+        manager.add("default", FetcherSession(proxy_rotator=rotator))
+
+    async def parse(self, response: Response):
+        # Check which proxy was used
+        print(f"Proxy used: {response.meta.get('proxy')}")
+        yield {"title": response.css("title::text").get("")}
+```
+
+Each request automatically gets the next proxy in the rotation. The proxy used is stored in `response.meta["proxy"]` so you can track which proxy fetched which page.
+
+
+Browser sessions support both string and dict proxy formats:
+
+```python
+from scrapling.fetchers import AsyncDynamicSession, AsyncStealthySession, ProxyRotator
+
+# String proxies work for all session types
+rotator = ProxyRotator([
+    "http://proxy1:8080",
+    "http://proxy2:8080",
+])
+
+# Dict proxies (Playwright format) work for browser sessions
+rotator = ProxyRotator([
+    {"server": "http://proxy1:8080", "username": "user", "password": "pass"},
+    {"server": "http://proxy2:8080"},
+])
+
+# Then inside the spider
+def configure_sessions(self, manager):
+    rotator = ProxyRotator(["http://proxy1:8080", "http://proxy2:8080"])
+    manager.add("browser", AsyncStealthySession(proxy_rotator=rotator))
+```
+
+**Important:**
+
+1. You cannot use the `proxy_rotator` argument together with the static `proxy` or `proxies` parameters on the same session. Pick one approach when configuring the session, and override it per request later if needed.
+2. By default, all browser-based sessions use a persistent browser context with a pool of tabs. However, since browsers can't set a proxy per tab, when you use a `ProxyRotator`, the fetcher will automatically open a separate context for each proxy, with one tab per context. Once the tab's job is done, both the tab and its context are closed.
+
+## Custom Rotation Strategies
+
+By default, `ProxyRotator` uses cyclic rotation — it iterates through proxies sequentially, wrapping around at the end.
+
+You can provide a custom strategy function to change this behavior, but it has to match the below signature:
+
+```python
+from scrapling.core._types import ProxyType
+
+def my_strategy(proxies: list, current_index: int) -> tuple[ProxyType, int]:
+    ...
+```
+
+It receives the list of proxies and the current index, and must return the chosen proxy and the next index.
+
+Below are some examples of custom rotation strategies you can use.
+
+### Random Rotation
+
+```python
+import random
+from scrapling.fetchers import ProxyRotator
+
+def random_strategy(proxies, current_index):
+    idx = random.randint(0, len(proxies) - 1)
+    return proxies[idx], idx
+
+rotator = ProxyRotator(
+    ["http://proxy1:8080", "http://proxy2:8080", "http://proxy3:8080"],
+    strategy=random_strategy,
+)
+```
+
+### Weighted Rotation
+
+```python
+import random
+
+def weighted_strategy(proxies, current_index):
+    # First proxy gets 60% of traffic, others split the rest
+    weights = [60] + [40 // (len(proxies) - 1)] * (len(proxies) - 1)
+    proxy = random.choices(proxies, weights=weights, k=1)[0]
+    return proxy, current_index  # Index doesn't matter for weighted
+
+rotator = ProxyRotator(proxies, strategy=weighted_strategy)
+```
+
+
+## Per-Request Proxy Override
+
+You can override the rotator for individual requests by passing `proxy=` as a keyword argument:
+
+```python
+async def parse(self, response: Response):
+    # This request uses the rotator's next proxy
+    yield response.follow("/page1", callback=self.parse_page)
+
+    # This request uses a specific proxy, bypassing the rotator
+    yield response.follow(
+        "/special-page",
+        callback=self.parse_page,
+        proxy="http://special-proxy:8080",
+    )
+```
+
+This is useful when certain pages require a specific proxy (e.g., a geo-located proxy for region-specific content).
+
+## Blocked Request Handling
+
+The spider has built-in blocked request detection and retry. By default, it considers the following HTTP status codes blocked: `401`, `403`, `407`, `429`, `444`, `500`, `502`, `503`, `504`.
+
+The retry system works like this:
+
+1. After a response comes back, the spider calls the `is_blocked(response)` method.
+2. If blocked, it copies the request and calls the `retry_blocked_request()` method so you can modify it before retrying.
+3. The retried request is re-queued with `dont_filter=True` (bypassing deduplication) and lower priority, so it's not retried right away.
+4. This repeats up to `max_blocked_retries` times (default: 3).
+
+**Tip:**
+
+1. On retry, the previous `proxy`/`proxies` kwargs are cleared from the request automatically, so the rotator assigns a fresh proxy.
+2. The `max_blocked_retries` attribute is different than the session retries and doesn't share the counter.
+
+### Custom Block Detection
+
+Override `is_blocked()` to add your own detection logic:
+
+```python
+class MySpider(Spider):
+    name = "my_spider"
+    start_urls = ["https://example.com"]
+
+    async def is_blocked(self, response: Response) -> bool:
+        # Check status codes (default behavior)
+        if response.status in {403, 429, 503}:
+            return True
+
+        # Check response content
+        body = response.body.decode("utf-8", errors="ignore")
+        if "access denied" in body.lower() or "rate limit" in body.lower():
+            return True
+
+        return False
+
+    async def parse(self, response: Response):
+        yield {"title": response.css("title::text").get("")}
+```
+
+### Customizing Retries
+
+Override `retry_blocked_request()` to modify the request before retrying. The `max_blocked_retries` attribute controls how many times a blocked request is retried (default: 3):
+
+```python
+from scrapling.spiders import Spider, SessionManager, Request, Response
+from scrapling.fetchers import FetcherSession, AsyncStealthySession
+
+
+class MySpider(Spider):
+    name = "my_spider"
+    start_urls = ["https://example.com"]
+    max_blocked_retries = 5
+
+    def configure_sessions(self, manager: SessionManager) -> None:
+        manager.add('requests', FetcherSession(impersonate=['chrome', 'firefox', 'safari']))
+        manager.add('stealth', AsyncStealthySession(block_webrtc=True), lazy=True)
+
+    async def retry_blocked_request(self, request: Request, response: Response) -> Request:
+        request.sid = "stealth"
+        self.logger.info(f"Retrying blocked request: {request.url}")
+        return request
+
+    async def parse(self, response: Response):
+        yield {"title": response.css("title::text").get("")}
+```
+
+What happened above is that I left the blocking detection logic unchanged and had the spider mainly use requests until it got blocked, then switch to the stealthy browser.
+
+
+Putting it all together:
+
+```python
+from scrapling.spiders import Spider, SessionManager, Request, Response
+from scrapling.fetchers import FetcherSession, AsyncStealthySession, ProxyRotator
+
+
+cheap_proxies = ProxyRotator([ "http://proxy1:8080", "http://proxy2:8080"])
+
+# A format acceptable by the browser
+expensive_proxies = ProxyRotator([
+    {"server": "http://residential_proxy1:8080", "username": "user", "password": "pass"},
+    {"server": "http://residential_proxy2:8080", "username": "user", "password": "pass"},
+    {"server": "http://mobile_proxy1:8080", "username": "user", "password": "pass"},
+    {"server": "http://mobile_proxy2:8080", "username": "user", "password": "pass"},
+])
+
+
+class MySpider(Spider):
+    name = "my_spider"
+    start_urls = ["https://example.com"]
+    max_blocked_retries = 5
+
+    def configure_sessions(self, manager: SessionManager) -> None:
+        manager.add('requests', FetcherSession(impersonate=['chrome', 'firefox', 'safari'], proxy_rotator=cheap_proxies))
+        manager.add('stealth', AsyncStealthySession(block_webrtc=True, proxy_rotator=expensive_proxies), lazy=True)
+
+    async def retry_blocked_request(self, request: Request, response: Response) -> Request:
+        request.sid = "stealth"
+        self.logger.info(f"Retrying blocked request: {request.url}")
+        return request
+
+    async def parse(self, response: Response):
+        yield {"title": response.css("title::text").get("")}
+```
+The above logic is: requests are made with cheap proxies, such as datacenter proxies, until they are blocked, then retried with higher-quality proxies, such as residential or mobile proxies.

agent-skill/Scrapling-Skill/references/spiders/requests-responses.md

@@ -0,0 +1,196 @@
+# Requests & Responses
+
+This page covers the `Request` object in detail — how to construct requests, pass data between callbacks, control priority and deduplication, and use `response.follow()` for link-following.
+
+## The Request Object
+
+A `Request` represents a URL to be fetched. You create requests either directly or via `response.follow()`:
+
+```python
+from scrapling.spiders import Request
+
+# Direct construction
+request = Request(
+    "https://example.com/page",
+    callback=self.parse_page,
+    priority=5,
+)
+
+# Via response.follow (preferred in callbacks)
+request = response.follow("/page", callback=self.parse_page)
+```
+
+Here are all the arguments you can pass to `Request`:
+
+| Argument      | Type       | Default    | Description                                                                                           |
+|---------------|------------|------------|-------------------------------------------------------------------------------------------------------|
+| `url`         | `str`      | *required* | The URL to fetch                                                                                      |
+| `sid`         | `str`      | `""`       | Session ID — routes the request to a specific session (see [Sessions](sessions.md))                   |
+| `callback`    | `callable` | `None`     | Async generator method to process the response. Defaults to `parse()`                                 |
+| `priority`    | `int`      | `0`        | Higher values are processed first                                                                     |
+| `dont_filter` | `bool`     | `False`    | If `True`, skip deduplication (allow duplicate requests)                                              |
+| `meta`        | `dict`     | `{}`       | Arbitrary metadata passed through to the response                                                     |
+| `**kwargs`    |            |            | Additional keyword arguments passed to the session's fetch method (e.g., `headers`, `method`, `data`) |
+
+Any extra keyword arguments are forwarded directly to the underlying session. For example, to make a POST request:
+
+```python
+yield Request(
+    "https://example.com/api",
+    method="POST",
+    data={"key": "value"},
+    callback=self.parse_result,
+)
+```
+
+## Response.follow()
+
+`response.follow()` is the recommended way to create follow-up requests inside callbacks. It offers several advantages over constructing `Request` objects directly:
+
+- **Relative URLs** are resolved automatically against the current page URL
+- **Referer header** is set to the current page URL by default
+- **Session kwargs** from the original request are inherited (headers, proxy settings, etc.)
+- **Callback, session ID, and priority** are inherited from the original request if not specified
+
+```python
+async def parse(self, response: Response):
+    # Minimal — inherits callback, sid, priority from current request
+    yield response.follow("/next-page")
+
+    # Override specific fields
+    yield response.follow(
+        "/product/123",
+        callback=self.parse_product,
+        priority=10,
+    )
+
+    # Pass additional metadata to
+    yield response.follow(
+        "/details",
+        callback=self.parse_details,
+        meta={"category": "electronics"},
+    )
+```
+
+| Argument           | Type       | Default    | Description                                                |
+|--------------------|------------|------------|------------------------------------------------------------|
+| `url`              | `str`      | *required* | URL to follow (absolute or relative)                       |
+| `sid`              | `str`      | `""`       | Session ID (inherits from original request if empty)       |
+| `callback`         | `callable` | `None`     | Callback method (inherits from original request if `None`) |
+| `priority`         | `int`      | `None`     | Priority (inherits from original request if `None`)        |
+| `dont_filter`      | `bool`     | `False`    | Skip deduplication                                         |
+| `meta`             | `dict`     | `None`     | Metadata (merged with existing response meta)              |
+| **`referer_flow`** | `bool`     | `True`     | Set current URL as Referer header                          |
+| `**kwargs`         |            |            | Merged with original request's session kwargs              |
+
+### Disabling Referer Flow
+
+By default, `response.follow()` sets the `Referer` header to the current page URL. To disable this:
+
+```python
+yield response.follow("/page", referer_flow=False)
+```
+
+## Callbacks
+
+Callbacks are async generator methods on your spider that process responses. They must `yield` one of three types:
+
+- **`dict`** — A scraped item, added to the results
+- **`Request`** — A follow-up request, added to the queue
+- **`None`** — Silently ignored
+
+```python
+class MySpider(Spider):
+    name = "my_spider"
+    start_urls = ["https://example.com"]
+
+    async def parse(self, response: Response):
+        # Yield items (dicts)
+        yield {"url": response.url, "title": response.css("title::text").get("")}
+
+        # Yield follow-up requests
+        for link in response.css("a::attr(href)").getall():
+            yield response.follow(link, callback=self.parse_page)
+
+    async def parse_page(self, response: Response):
+        yield {"content": response.css("article::text").get("")}
+```
+
+**Note:** All callback methods must be `async def` and use `yield` (not `return`). Even if a callback only yields items with no follow-up requests, it must still be an async generator.
+
+## Request Priority
+
+Requests with higher priority values are processed first. This is useful when some pages are more important to be processed first before others:
+
+```python
+async def parse(self, response: Response):
+    # High priority — process product pages first
+    for link in response.css("a.product::attr(href)").getall():
+        yield response.follow(link, callback=self.parse_product, priority=10)
+
+    # Low priority — pagination links processed after products
+    next_page = response.css("a.next::attr(href)").get()
+    if next_page:
+        yield response.follow(next_page, callback=self.parse, priority=0)
+```
+
+When using `response.follow()`, the priority is inherited from the original request unless you specify a new one.
+
+## Deduplication
+
+The spider automatically deduplicates requests based on a fingerprint computed from the URL, HTTP method, request body, and session ID. If two requests produce the same fingerprint, the second one is silently dropped.
+
+To allow duplicate requests (e.g., re-visiting a page after login), set `dont_filter=True`:
+
+```python
+yield Request("https://example.com/dashboard", dont_filter=True, callback=self.parse_dashboard)
+
+# Or with response.follow
+yield response.follow("/dashboard", dont_filter=True, callback=self.parse_dashboard)
+```
+
+You can fine-tune what goes into the fingerprint using class attributes on your spider:
+
+| Attribute            | Default | Effect                                                                                                          |
+|----------------------|---------|-----------------------------------------------------------------------------------------------------------------|
+| `fp_include_kwargs`  | `False` | Include extra request kwargs (arguments you passed to the session fetch, like headers, etc.) in the fingerprint |
+| `fp_keep_fragments`  | `False` | Keep URL fragments (`#section`) when computing fingerprints                                                     |
+| `fp_include_headers` | `False` | Include request headers in the fingerprint                                                                      |
+
+For example, if you need to treat `https://example.com/page#section1` and `https://example.com/page#section2` as different URLs:
+
+```python
+class MySpider(Spider):
+    name = "my_spider"
+    fp_keep_fragments = True
+    # ...
+```
+
+## Request Meta
+
+The `meta` dictionary lets you pass arbitrary data between callbacks. This is useful when you need context from one page to process another:
+
+```python
+async def parse(self, response: Response):
+    for product in response.css("div.product"):
+        category = product.css("span.category::text").get("")
+        link = product.css("a::attr(href)").get()
+        if link:
+            yield response.follow(
+                link,
+                callback=self.parse_product,
+                meta={"category": category},
+            )
+
+async def parse_product(self, response: Response):
+    yield {
+        "name": response.css("h1::text").get(""),
+        "price": response.css(".price::text").get(""),
+        # Access meta from the request
+        "category": response.meta.get("category", ""),
+    }
+```
+
+When using `response.follow()`, the meta from the current response is merged with the new meta you provide (new values take precedence).
+
+The spider system also automatically stores some metadata. For example, the proxy used for a request is available as `response.meta["proxy"]` when proxy rotation is enabled.

agent-skill/Scrapling-Skill/references/spiders/sessions.md

@@ -0,0 +1,205 @@
+# Spiders sessions
+
+A spider can use multiple fetcher sessions simultaneously — for example, a fast HTTP session for simple pages and a stealth browser session for protected pages.
+
+## What are Sessions?
+
+A session is a pre-configured fetcher instance that stays alive for the duration of the crawl. Instead of creating a new connection or browser for every request, the spider reuses sessions, which is faster and more resource-efficient.
+
+By default, every spider creates a single [FetcherSession](fetching/static.md). You can add more sessions or swap the default by overriding the `configure_sessions()` method, but you have to use the async version of each session only, as the table shows below:
+
+
+| Session Type                                    | Use Case                                 |
+|-------------------------------------------------|------------------------------------------|
+| [FetcherSession](fetching/static.md)         | Fast HTTP requests, no JavaScript        |
+| [AsyncDynamicSession](fetching/dynamic.md)   | Browser automation, JavaScript rendering |
+| [AsyncStealthySession](fetching/stealthy.md) | Anti-bot bypass, Cloudflare, etc.        |
+
+
+## Configuring Sessions
+
+Override `configure_sessions()` on your spider to set up sessions. The `manager` parameter is a `SessionManager` instance — use `manager.add()` to register sessions:
+
+```python
+from scrapling.spiders import Spider, Response
+from scrapling.fetchers import FetcherSession
+
+class MySpider(Spider):
+    name = "my_spider"
+    start_urls = ["https://example.com"]
+
+    def configure_sessions(self, manager):
+        manager.add("default", FetcherSession())
+
+    async def parse(self, response: Response):
+        yield {"title": response.css("title::text").get("")}
+```
+
+The `manager.add()` method takes:
+
+| Argument     | Type      | Default    | Description                                  |
+|--------------|-----------|------------|----------------------------------------------|
+| `session_id` | `str`     | *required* | A name to reference this session in requests |
+| `session`    | `Session` | *required* | The session instance                         |
+| `default`    | `bool`    | `False`    | Make this the default session                |
+| `lazy`       | `bool`    | `False`    | Start the session only when first used       |
+
+**Notes:**
+
+1. In all requests, if you don't specify which session to use, the default session is used. The default session is determined in one of two ways:
+    1. The first session you add to the manager becomes the default automatically.
+    2. The session that gets `default=True` while added to the manager.
+2. The instances you pass of each session don't have to be already started by you; the spider checks on all sessions if they are not already started and starts them.
+3. If you want a specific session to start when used only, then use the `lazy` argument while adding that session to the manager. Example: start the browser only when you need it, not with the spider start.
+
+## Multi-Session Spider
+
+Here's a practical example: use a fast HTTP session for listing pages and a stealth browser for detail pages that have bot protection:
+
+```python
+from scrapling.spiders import Spider, Response
+from scrapling.fetchers import FetcherSession, AsyncStealthySession
+
+class ProductSpider(Spider):
+    name = "products"
+    start_urls = ["https://shop.example.com/products"]
+
+    def configure_sessions(self, manager):
+        # Fast HTTP for listing pages (default)
+        manager.add("http", FetcherSession())
+
+        # Stealth browser for protected product pages
+        manager.add("stealth", AsyncStealthySession(
+            headless=True,
+            network_idle=True,
+        ))
+
+    async def parse(self, response: Response):
+        for link in response.css("a.product::attr(href)").getall():
+            # Route product pages through the stealth session
+            yield response.follow(link, sid="stealth", callback=self.parse_product)
+
+        next_page = response.css("a.next::attr(href)").get()
+        if next_page:
+            yield response.follow(next_page)
+
+    async def parse_product(self, response: Response):
+        yield {
+            "name": response.css("h1::text").get(""),
+            "price": response.css(".price::text").get(""),
+        }
+```
+
+The key is the `sid` parameter — it tells the spider which session to use for each request. When you call `response.follow()` without `sid`, the session ID from the original request is inherited.
+
+Sessions can also be different instances of the same class with different configurations:
+
+```python
+from scrapling.spiders import Spider, Response
+from scrapling.fetchers import FetcherSession
+
+class ProductSpider(Spider):
+    name = "products"
+    start_urls = ["https://shop.example.com/products"]
+
+    def configure_sessions(self, manager):
+        chrome_requests = FetcherSession(impersonate="chrome")
+        firefox_requests = FetcherSession(impersonate="firefox")
+
+        manager.add("chrome", chrome_requests)
+        manager.add("firefox", firefox_requests)
+
+    async def parse(self, response: Response):
+        for link in response.css("a.product::attr(href)").getall():
+            yield response.follow(link, callback=self.parse_product)
+
+        next_page = response.css("a.next::attr(href)").get()
+        if next_page:
+            yield response.follow(next_page, sid="firefox")
+
+    async def parse_product(self, response: Response):
+        yield {
+            "name": response.css("h1::text").get(""),
+            "price": response.css(".price::text").get(""),
+        }
+```
+
+## Session Arguments
+
+Extra keyword arguments passed to a `Request` (or through `response.follow(**kwargs)`) are forwarded to the session's fetch method. This lets you customize individual requests without changing the session configuration:
+
+```python
+async def parse(self, response: Response):
+    # Pass extra headers for this specific request
+    yield Request(
+        "https://api.example.com/data",
+        headers={"Authorization": "Bearer token123"},
+        callback=self.parse_api,
+    )
+
+    # Use a different HTTP method
+    yield Request(
+        "https://example.com/submit",
+        method="POST",
+        data={"field": "value"},
+        sid="firefox",
+        callback=self.parse_result,
+    )
+```
+
+**Warning:** When using `FetcherSession` in spiders, you cannot use `.get()` and `.post()` methods directly. By default, the request is an HTTP GET request; to use another HTTP method, pass it to the `method` argument as in the above example. This unifies the `Request` interface across all session types.
+
+For browser sessions (`AsyncDynamicSession`, `AsyncStealthySession`), you can pass browser-specific arguments like `wait_selector`, `page_action`, or `extra_headers`:
+
+```python
+async def parse(self, response: Response):
+    # Use Cloudflare solver with the `AsyncStealthySession` we configured above
+    yield Request(
+        "https://nopecha.com/demo/cloudflare",
+        sid="stealth",
+        callback=self.parse_result,
+        solve_cloudflare=True,
+        block_webrtc=True,
+        hide_canvas=True,
+        google_search=True,
+    )
+
+    yield response.follow(
+        "/dynamic-page",
+        sid="browser",
+        callback=self.parse_dynamic,
+        wait_selector="div.loaded",
+        network_idle=True,
+    )
+```
+
+**Warning:** Session arguments (**kwargs) passed from the original request are inherited by `response.follow()`. New kwargs take precedence over inherited ones.
+
+```python
+from scrapling.spiders import Spider, Response
+from scrapling.fetchers import FetcherSession
+
+class ProductSpider(Spider):
+    name = "products"
+    start_urls = ["https://shop.example.com/products"]
+
+    def configure_sessions(self, manager):
+        manager.add("http", FetcherSession(impersonate='chrome'))
+
+    async def parse(self, response: Response):
+        # I don't want the follow request to impersonate a desktop Chrome like the previous request, but a mobile one
+        # so I override it like this
+        for link in response.css("a.product::attr(href)").getall():
+            yield response.follow(link, impersonate="chrome131_android", callback=self.parse_product)
+
+        next_page = response.css("a.next::attr(href)").get()
+        if next_page:
+            yield Request(next_page)
+
+    async def parse_product(self, response: Response):
+        yield {
+            "name": response.css("h1::text").get(""),
+            "price": response.css(".price::text").get(""),
+        }
+```
+**Note:** Upon spider closure, the manager automatically checks whether any sessions are still running and closes them before closing the spider.