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Alternatives to webclaw

  • A
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    A Model Context Protocol (MCP) server implementation that integrates with FireCrawl for advanced web scraping capabilities.
    26
    190,084 npm
    7,545
    MIT
  • A
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    quality
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    🚀 Active Fork of executeautomation/mcp-playwright This repository is an actively maintained continuation of the original MCP Playwright server: >👉 https://github.com/executeautomation/mcp-playwright A Model Context Protocol server that provides browser automation capabilities using Playwright.
    32
    14,786 npm
    1
    MIT

Related Servers

  • A
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    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.
    8
    1,101
    AGPL 3.0
  • A
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    Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.
    5
    67 npm
    MIT
  • A
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    Provides a drop-in replacement for Firecrawl's core tools, enabling AI agents to scrape, crawl, and map websites with resilient TLS fingerprinting and pay-per-success billing, while avoiding edge bot filters and blocked-request charges.
    MIT
  • A
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    Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.
    1
    1,090 npm
    161
    MIT
  • A
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    Enables LLM agents to read any website by scraping and crawling into clean Markdown, automatically bypassing bot detection with residential proxies.
    2
    3
    12 npm
    MIT
  • A
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    The web data platform for AI agents. Fetch, search, crawl, extract, monitor, and screenshot any URL. 55+ domain extractors, 65-98% token savings. 7 MCP tools included.
    332 npm
    12
    AGPL 3.0

TDQS

A3.8/5.0

Scored across 10 tools

Disambiguation4/5

Most tools have distinct purposes, but there is some potential overlap between 'extract' (structured data via LLM) and 'scrape' (content extraction in various formats), which could cause confusion. Other tools like 'brand', 'diff', 'map', and 'summarize' are clearly specialized, helping to minimize misselection.

Naming Consistency5/5

All tool names follow a consistent pattern of single, descriptive verbs (e.g., batch, brand, crawl, diff, extract, map, research, scrape, search, summarize). There are no mixed conventions or deviations, making the set predictable and easy to navigate.

Tool Count5/5

With 10 tools, the count is well-scoped for a web scraping and research server. Each tool appears to serve a specific function in the domain, from basic scraping to advanced research, without feeling excessive or insufficient for the intended purpose.

Completeness4/5

The toolset covers a broad range of web-related operations, including extraction, crawling, searching, and analysis. Minor gaps exist, such as the lack of explicit update or delete operations for stored data, but these are not critical for the server's primary focus on content retrieval and processing.

Maintenance

ActivityActive
ResponsivenessResponsive