Audience
Developers & Software Engineers, Data Engineers & Data Scientists, Information Technology & System Administrators, AI Developers & Automation Engineers, Cybersecurity & Threat Intelligence Researchers
About Yozh Scraper
Yozh Scraper is a powerful open-source web scraping and crawling toolkit built for high-scale data extraction. Powered by Playwright, Python, and Redis, it effortlessly handles complex JS-rendered sites while bypassing modern anti-bot protections.
Key Capabilities:
• Anti-Detect Scraping: Leverages Camoufox and real Chrome instances to spoof browser fingerprints and overcome strict anti-scraping systems.
• Dual Microservices: Includes an async Scraper API for page rendering and an Open Crawler with SSE streaming, site-mapping, and deduplication.
• Native MCP Support: Directly integrates with AI agents (Claude Code/Desktop, LangChain, n8n) via built-in Model Context Protocol (/mcp) endpoints.
• Smart Parsing & Presets: Pre-configured for Amazon, Google, LinkedIn, and more, featuring optional LLM self-healing parsing.
• Enterprise Scaling: Horizontal worker scaling via Docker Compose, proxy support (Residential/Mobile/DC), and a web UI for testing.