docs/fetching/static.md

HTTP requests

The Fetcher class provides rapid and lightweight HTTP requests using the high-performance curl_cffi library with a lot of stealth capabilities.

!!! success "Prerequisites"

1. You've completed or read the [Fetchers basics](../fetching/choosing.md) page to understand what the [Response object](../fetching/choosing.md#response-object) is and which fetcher to use.
2. You've completed or read the [Querying elements](../parsing/selection.md) page to understand how to find/extract elements from the [Selector](../parsing/main_classes.md#selector)/[Response](../fetching/choosing.md#response-object) object.
3. You've completed or read the [Main classes](../parsing/main_classes.md) page to know what properties/methods the [Response](../fetching/choosing.md#response-object) class is inheriting from the [Selector](../parsing/main_classes.md#selector) class.

Basic Usage

You have one primary way to import this Fetcher, which is the same for all fetchers.

>>> from scrapling.fetchers import Fetcher

Check out how to configure the parsing options here

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.

!!! note "Notes:"

1. The currently available browsers to impersonate are (`"edge"`, `"chrome"`, `"chrome_android"`, `"safari"`, `"safari_beta"`, `"safari_ios"`, `"safari_ios_beta"`, `"firefox"`, `"tor"`)<br/>
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.<br/>
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

>>> 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

>>> 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)

Needless to say, the page object in all cases is Response object, which is a Selector as we said, so you can use it directly

>>> 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

>>> 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

>>> 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

>>> 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

>>> 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

>>> 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

>>> 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.

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:

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:

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

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

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

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

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

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

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

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

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

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