Crawl a full website and export structured JSON with CyberYozh Data using CyberYozh Data

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Turn any website into structured, MCP-ready data—automatically.

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CyberYozh Data

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CyberYozh Data is an open-source crawler and scraper that maps full websites, extracts structured JSON, and integrates natively with MCP-driven AI workflows for resilient, proxy-aware web data collection.

mcp crawlerstealth scraperllm-assisted parsingweb scrapingdata extractiondeveloper toolsai agentsopen source

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What to expect from an ideal product

1. CyberYozh Data crawls every page of a target site and outputs clean, structured JSON you can feed directly into AI pipelines without manual cleanup.
2. Built for MCP-driven workflows, it plugs into agent-based systems natively so your AI tools get fresh web data without custom middleware.
3. Proxy-aware from the start, it handles rotating proxies and anti-bot pages so scraping jobs finish instead of silently failing halfway through.
4. Open-source codebase means you can inspect, fork, and extend the crawler to match your exact data schema or domain logic.
5. Whether you need a full site map or deep content extraction, CyberYozh Data handles both in a single run and exports results ready to query.

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