Yozh Scraper Description
Yozh Scraper is an advanced open-source toolkit designed for web scraping and crawling, optimized for extensive data extraction tasks. Utilizing Playwright, Python, and Redis, it adeptly navigates intricate JavaScript-rendered websites while effectively circumventing contemporary anti-bot measures.
Highlighted Features:
• Anti-Detection Scraping: Utilizes Camoufox along with genuine Chrome instances to disguise browser fingerprints, successfully navigating stringent anti-scraping mechanisms.
• Dual Microservices Architecture: Offers an asynchronous Scraper API for rendering pages, combined with an Open Crawler that features SSE streaming, site-mapping, and deduplication capabilities.
• Native MCP Integration: Seamlessly connects with AI agents such as Claude Code/Desktop, LangChain, and n8n through built-in Model Context Protocol (/mcp) endpoints.
• Intelligent Parsing & Configurations: Comes pre-set for popular platforms like Amazon, Google, LinkedIn, and others, with optional self-healing parsing powered by LLMs.
• Scalable Enterprise Solutions: Supports horizontal scaling through Docker Compose, accommodates various proxy types (Residential/Mobile/Data Center), and includes a user-friendly web interface for testing purposes.
• This toolkit is ideal for developers looking to streamline their data extraction processes while maintaining compliance with anti-bot regulations.
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