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Web Scraper MCP

by Prog-up

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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.
      5
      6 npm
      3
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables language models to perform AI-powered web scraping, extraction, search, crawling, schema generation, and scheduled monitoring through a web-scraping API. It supports integration with clients such as Claude Desktop and Cursor.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables web scraping and crawling capabilities for LLM clients, supporting single-page scraping, multi-page website crawling, and web search with multiple engines (Playwright, Cheerio, Puppeteer) and flexible output formats including markdown, HTML, text, and screenshots.
      19 npm
      6
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables LLMs to fetch and extract web content using browser automation, OCR, and multiple extraction methods, handling JavaScript rendering and anti-scraping techniques.
      17
      MIT

    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation4/5

    scrape and extract both operate on a page but are clearly distinguished by output type: markdown document vs structured JSON/answer. search and deep_research are also distinct, though deep_research could be seen as a superset of search.

    Naming Consistency5/5

    All tools use lowercase snake_case imperative verbs: scrape, extract, search, deep_research. The naming pattern is consistent and predictable.

    Tool Count5/5

    Four tools is well-scoped for a web scraper/research server: one for raw page content, one for structured extraction, one for search, and one for synthesis. Each tool has a clear purpose with no redundant bloat.

    Completeness4/5

    The core web research workflow is covered: search, fetch, extract, and synthesize. A minor gap is the lack of batch crawling or link-following features, but most common agent tasks can be completed with these tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues