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    • A
      license
      B
      quality
      A
      maintenance
      Enables privacy-first web scraping and structured data extraction using a local headless browser and your own LLM key. Supports tools for scraping, batch scraping, data extraction with prompts or schemas, and screenshots.
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    • A
      license
      A
      quality
      A
      maintenance
      Web scraping, crawling, and structured data extraction for AI agents. 5 tools: scrape (clean markdown from any URL), crawl (entire sites), map (discover URLs), extract (structured JSON), and search. 833ms avg latency, single binary, self-hostable.
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      AGPL 3.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables local LLMs to search the web, scrape pages, and extract structured data (tables, metadata) from sources like Wikipedia and IMDb, with caching and rate limiting.
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      A Python web-scraping toolkit that exposes 22 tools for fetching structured web data (from any URL to search, finance, e-commerce, and reference sources) as validated JSON for AI agents.
      24
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    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents in Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, Gemini CLI and Codex to scrape web pages into Markdown, text, HTML, JSON or PDF, extract structured data with selectors or autoparse, capture screenshots and PDFs the model can see, drive pages with typed browser actions, keep logged-in persistent browser sessions, and batch-scrape thousands of URLs as async jobs. It also exposes usage, request-log and documentation tools so agents can check costs, diagnose failures and look up parameters without leaving the chat.
      25
      Apache 2.0

    TDQS

    A4.1/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: scrape extracts data, list_cached_selectors shows cached selectors, refresh_selectors removes them, and prepare_issue_report handles bug reporting. No two tools overlap in function, making selection unambiguous.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (list_cached_selectors, refresh_selectors, prepare_issue_report), but scrape is a bare verb. This is a minor deviation that does not impair readability or predictability.

    Tool Count5/5

    With 4 tools, the server is well-scoped for its purpose. Each tool is necessary: scrape for core functionality, list and refresh for cache management, and prepare_issue_report for maintenance. No bloat or excessive thinness.

    Completeness4/5

    The core workflow of scraping with cached selectors is well covered: scrape handles extraction, list shows cache state, refresh allows re-derivation. Minor gaps exist, such as no direct way to manually set selectors, but the lazy re-derivation design mitigates this. The self-report tool is an optional extra rather than a missing operation.

    Maintenance

    ActivityStale
    ResponsivenessNo issues