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title: WebScraper Pro
emoji: πΈοΈ
colorFrom: indigo
colorTo: purple
sdk: docker
app_port: 7860
pinned: false
---
# π·οΈ WebScraper.pro β Premium Web Scraping Platform
[](https://www.python.org/)
[](https://flask.palletsprojects.com/)
[](https://playwright.dev/python/)
[](https://opensource.org/licenses/MIT)
**WebScraper.pro** is a professional, secure, and production-ready web scraping platform built on Python and Flask. It provides a visual dashboard to configure, manage, and schedule scraping jobs targeting both static pages and modern dynamic (JavaScript-rendered) websites, exporting cleanly to JSON, CSV, or Excel.
Designed with a **premium dark-mode visual interface** featuring glassmorphism elements, dynamic micro-animations, and live job status polling.
---
## π Key Features
* **β‘ Dual Scraping Engines:**
* **Static Engine:** Fast, lightweight HTTP requests combined with BeautifulSoup4 parsing.
* **Dynamic Engine:** Headless Playwright integration for complex, client-side, JavaScript-heavy SPAs.
* **π Premium Real-Time Dashboard:**
* Live-updating analytics cards (success rates, items scraped, running jobs).
* Auto-refreshing status progress bars and real-time console log stream.
* **π Granular Visual Extractors:**
* Select data via **CSS Selectors**, **XPath Expressions**, **HTML Tags**, or **HTML Attributes**.
* Custom configurations for **Table Data**, **JSON-LD Schema**, and **Full HTML** extractions.
* **βοΈ Enterprise Crawl Controls:**
* Auto-rotating random User Agents per request.
* Adaptive request throttling (custom delays) and automatic retry policies.
* Infinite scroll triggers (custom scroll depth) and standard pagination crawling.
* Full support for custom HTTP request headers (JSON format).
* **π Production-Grade Security:**
* High-performance request rate limiting powered by `Flask-Limiter`.
* Industry-standard Cross-Site Request Forgery (`CSRFProtect`) protection.
* Strict security headers (CSP, X-Frame-Options, X-Content-Type) and sanitize filters (`bleach`).
* **π₯ Multi-Format Exporters:** Export scraped datasets on-demand to structured **JSON**, **CSV**, or Microsoft **Excel** (`.xlsx`).
---
## ποΈ Modular Architecture
The platform has been re-architected from a flat layout into a highly maintainable, standardized **Application Factory Blueprint** structure:
```
webscraping/
βββ app/
β βββ __init__.py # Application Factory initialization
β βββ config/ # Settings & Environment configurations
β βββ models/ # SQLAlchemy ORM schemas (BaseModel, User, ScrapeJob, etc.)
β βββ scrapers/ # Core Scraping Engine (Static & Playwright)
β βββ services/ # Job Execution, Excel/CSV Exports, Statistics calculations
β βββ middleware/ # Rate limiting and Security headers middleware
β βββ routes/ # Modular controller Blueprints (Main, Jobs)
β βββ utils/ # Input validation & Logging configurators
β βββ templates/ # HTML templates (dashboard, job details, forms)
β βββ static/ # Premium custom CSS, JS assets
βββ run.py # Production-ready entry point
βββ .env # Environment secrets
βββ requirements.txt # Package dependencies
```
---
## π Quick Start
### π Prerequisites
- Python **3.10** or higher
- Node.js (required for Playwright browsers dependency)
### 1. Clone & Set Up Directory
```bash
git clone https://github.com/your-username/webscraper-pro.git
cd webscraper-pro
```
### 2. Configure Virtual Environment
```bash
python -m venv venv
# On Windows (PowerShell)
.\venv\Scripts\Activate.ps1
# On macOS/Linux
source venv/bin/activate
```
### 3. Install Dependencies
```bash
pip install -r requirements.txt
playwright install chromium
```
### 4. Setup Environment Variables
Create a `.env` file in the root directory. You can copy the example file:
```bash
cp env.example .env
```
Open `.env` and set up your application environment details:
```ini
# Core
FLASK_APP=app
FLASK_ENV=development
SECRET_KEY=generate-a-strong-random-key-here
DEBUG=True
# Database (Leave commented out to use default SQLite)
# DATABASE_URL=sqlite:///database/scraper.db
```
### 5. Launch the Server
```bash
python run.py
```
The application will start, seed database configurations automatically, and be accessible at **`http://127.0.0.1:5000`**.
---
## π οΈ Configuration Settings (`.env`)
| Variable | Type | Default | Description |
|----------|------|---------|-------------|
| `FLASK_ENV` | String | `production` | Environment type (`development` or `production`) |
| `SECRET_KEY` | String | *Required* | Secret key for session encryption & CSRF tokens |
| `DEBUG` | Boolean | `False` | Enables or disables interactive debug tools |
| `DATABASE_URL` | String | `sqlite:///database/scraper.db` | Target database connection URI |
| `RATELIMIT_DEFAULT` | String | `100 per minute` | Default global API rate limit constraint |
---
## π Security Compliance
This platform enforces secure engineering best practices:
- **Input Sanitization:** Uses `bleach` and custom content validators to strip dangerous Javascript/HTML injection payloads before database commit.
- **Robust Rate-Limiting:** Defends against scraping-abuse/DoS using local in-memory window limitation schemas.
- **Strict Headers:** Employs security middleware to restrict frame injection, content sniffing, and force standard CORS controls.
---
## π License
Distributed under the MIT License. See [LICENSE](LICENSE) for more details.
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