Automatically turn scraped web pages into clean structured data for AI agents using CyberYozh Data

This task can be performed using CyberYozh Data

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

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CyberYozh Data

dev-tools

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 entire websites automatically and outputs clean JSON, so your AI agent gets structured input without manual cleanup or formatting work.
2. Built-in proxy rotation keeps scraping jobs running even when target sites block requests, reducing failed pipelines and lost data collection cycles.
3. Native MCP integration means scraped data flows directly into your AI workflows without writing custom connectors or middleware between the crawler and your agent.
4. Open-source codebase lets developers inspect, modify, and self-host the full scraping stack, removing vendor lock-in from critical data collection pipelines.
5. Site mapping runs before extraction, so CyberYozh Data understands the full page structure first and pulls only the relevant content instead of dumping raw HTML noise.

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