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Scrapling is an adaptive web scraping framework designed to handle everything from a single HTTP request to large-scale, concurrent crawls. Built for modern websites, it intelligently adapts to structural changes by automatically relocating elements when page layouts update. The framework includes advanced fetchers capable of bypassing anti-bot protections such as Cloudflare Turnstile using stealth and browser automation techniques. Its powerful spider system supports multi-session crawling, pause and resume functionality, and real-time streaming of scraped data. Scrapling combines high performance, memory efficiency, and extensive async support to deliver blazing-fast scraping workflows. With a developer-friendly API, CLI tools, MCP server integration for AI-assisted extraction, and Docker support, it offers a complete solution for modern web scrapers.
Features
- Adaptive element tracking that automatically relocates elements when website structures change.
- Advanced fetchers with HTTP, dynamic browser automation, and stealth modes to bypass anti-bot systems.
- Full spider framework with concurrent crawling, multi-session routing, and checkpoint-based pause/resume.
- Built-in proxy rotation and session management with support for persistent cookies and state handling.
- Interactive CLI and web scraping shell for extracting content without writing code.
- High-performance parser with fast JSON serialization, async support, and AI-ready MCP server integration.
Project Samples
