Overview
Scrapling is a high-performance Python web scraping framework that uses AI-powered adaptive element selection to resiliently extract data from web pages. It provides built-in stealth capabilities to bypass bot detection and ships with an MCP server, making it a powerful tool for AI agents that need to interact with web content.
Key Features
- AI-adaptive element selection that survives page layout changes using intelligent similarity matching
- Built-in stealth mode with real browser fingerprint simulation to bypass anti-bot protections
- MCP server integration enabling AI agents to use scraping as a tool
- High-performance fetching with support for Playwright, Camoufox, and real browser rendering
- Smart XPath and CSS selector generation with automatic fallback strategies
Use Cases
- AI agent web data extraction and browser automation workflows
- Resilient production scraping that adapts to target site changes
- Anti-detection data collection from protected websites
- Building MCP-powered agent tools for web interaction
Technical Details
- Written in Python with support for multiple browser backends (Playwright, Camoufox)
- Uses Levenshtein distance and adaptive algorithms for element matching across page mutations
- Ships as both a standalone library and an MCP server for agent integration