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509,995 tools. Updated 2026-09-03 13:49

"How to scrape websites and format content in GitHub Markdown" matching MCP tools:

  • Scrape content from multiple websites using Firecrawl and store it for analysis. Specify URLs and choose output formats like markdown or HTML.
  • Scrape a single webpage and return its content as markdown or HTML, automatically handling JavaScript-heavy pages and anti-bot measures.
    Server Side Public , v 1
  • Perform web, news, or image searches and scrape result pages to extract markdown, HTML, links, or screenshots.
    Server Side Public , v 1
  • Crawl a website from a seed URL, follow linked pages up to a configurable depth, and scrape each page into markdown or HTML. Use it to extract site content, analyze structure, and gather data across multiple pages.
    Server Side Public , v 1
  • Convert webpages into clean, formatted markdown for extracting content from documentation, articles, and web pages. Fetches any webpage and transforms HTML content into readable markdown format.
    MIT

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  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Markdown utilities MCP.

  • Generate Markdown files for technical documentation in code repositories. Supports auto table of contents, YAML frontmatter, and full markdown syntax for GitHub-ready content.
    MIT
  • Batch scrape up to 100 URLs in parallel into LLM-ready markdown, with background job support and options for JavaScript-heavy pages.
    Unlicense - libtelnet variant
  • Scrape multiple webpages simultaneously, bypassing bot detection and CAPTCHA, returning content in Markdown format.
    MIT
  • Extract web page content and convert it to clean, readable markdown format for analysis, bypassing paywalls and obtaining structured text data from websites.
    Apache 2.0
  • Scrape up to 10 URLs simultaneously to extract markdown content and metadata. Ideal for competitor analysis, content gap analysis, and SERP comparisons.
    MIT
  • Scrape businesses from Google Maps to collect names, addresses, phone numbers, websites, emails, and ratings. Input a keyword and location to generate targeted leads for outreach.
    MIT
  • Scrape up to 5 URLs to extract and return clean markdown content. Simplify web data extraction for digital business cards, lead capture, and service listings.
    MIT
  • Scrape web pages into Markdown, JSON, or CSV, with JavaScript rendering and schema-based structured data extraction for complex sites.
    MIT