Scrapling🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Scrapling

Scrapling is an adaptive web scraping framework that seamlessly scales from single requests to full-scale crawls. It learns from website changes to automatically relocate elements when pages update, bypasses anti-bot systems like Cloudflare Turnstile out of the box, and provides a spider framework for concurrent, multi-session crawls with built-in proxy rotation.

Key Features

• Adaptive Parsing: Automatically relocates scraped elements when website structures change, eliminating the need for constant maintenance
• Anti-Bot Bypass: Built-in support for bypassing Cloudflare Turnstile and other anti-bot protection systems with stealth fetchers
• Scalable Spider Framework: Handle concurrent, multi-session crawls with pause/resume capabilities and automatic proxy rotation
• Multiple Fetchers: Choose from standard, asynchronous, stealthy, and dynamic fetchers based on your scraping needs
• Real-Time Streaming: Monitor crawl progress with blazing-fast performance and live statistics
• CLI & MCP Integration: Access scraping capabilities through command-line tools and AI agent integration

Use Cases

• Data Collection at Scale: Crawl large websites efficiently with concurrent requests and automatic session management
• Price Monitoring: Track product prices across e-commerce sites with adaptive parsing that survives design updates
• Content Aggregation: Gather articles, listings, or other data from multiple sources without constant code maintenance
• Protected Website Access: Scrape sites with advanced bot protection using built-in anti-detection features

Who Is It For

Scrapling is designed for web scrapers, data engineers, and Python developers who need a robust, low-maintenance scraping solution. Whether you're performing a quick single-page scrape or managing enterprise-level crawls, Scrapling offers the flexibility and features to handle both scenarios without compromises.