A
licenseNot graded
qualityC
maintenanceEnables converting any URL or website into clean, LLM-ready Markdown, supporting single-page scraping and full-site crawling for AI agents.
MIT
Hydrafetch
Server Details
Clean web data for agents: any URL to Markdown or JSON, plus search, crawls and company brand data.
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- Status
- Unhealthy
- Uptime
- 0.0% over the last 24 hours
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP
- URL
- ChatGPT
- –
- Claude
- Hydrafetch
TDQS
A4.2/5.0
Scored across 14 tools
Disambiguation5/5
Each tool targets a distinct resource or action: scrape for a single known page, batch for a supplied URL list, crawl for site discovery, map for URL listing, search for web queries, and specialized tools for assets, extraction, and feedback. Overlaps are explicitly disambiguated in descriptions (e.g. logo vs brand, images vs screenshot), so misselection is unlikely.
Naming Consistency5/5
All tool names are lowercase, single-token nouns/verbs, with a consistent snake_case _status suffix for background job readers (batch_status, crawl_status). There is no mixing of camelCase or vague verbs; the pattern is predictable throughout.
Tool Count5/5
14 tools is well-scoped for a web scraping and data extraction service, with each tool earning its place across discovery, fetching, extraction, asset retrieval, and feedback. No tool feels redundant or missing from the count perspective.
Completeness4/5
The surface covers the full lifecycle: discovery (map, search), fetching (scrape, batch, crawl), extraction (extract), assets (images, screenshot, brand, logo, styleguide), and feedback. Minor gaps exist for cancelling or listing background jobs, but core workflows are complete.
Tool Schema Changelog
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