VOOZH about

URL: https://glama.ai/mcp/servers/search/how-to-scrape-content-from-a-website

⇱ How to scrape content from a website | Glama

Search for:

How to scrape content from a website

View all MCP Servers

  • Why this server?

    This server is explicitly designed for web scraping from both static and dynamic websites, offering content extraction and various export formats.

    A
    license
    A
    quality
    C
    maintenance
    A TypeScript-based web scraping server built on the Model Context Protocol that offers multiple export formats, content extraction rules, and support for both static and dynamic (SPA) websites.
    Last updated
    7
    12
    1
    MIT

  • Why this server?

    This server provides core functionality to fetch and transform web content into different formats like HTML, JSON, plain text, and Markdown.

    A
    license
    -
    quality
    C
    maintenance
    Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
    Last updated
    101,793
    1
    MIT

  • Why this server?

    This server specializes in fetching and transforming web content into various formats, indicating strong web scraping capabilities.

    A
    license
    A
    quality
    D
    maintenance
    An MCP server for fetching and transforming web content into various formats.
    Last updated
    4
    7
    MIT

  • Why this server?

    This server intelligently fetches and processes web content, transforming it into clean, structured Markdown, and supports nested URL crawling.

    A
    license
    B
    quality
    D
    maintenance
    A Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.
    Last updated
    2
    11
    10
    MIT

  • Why this server?

    This server offers web scraping and intelligent content searching capabilities, enabling the extraction of structured data from websites using the Firecrawl API.

    A
    license
    -
    quality
    D
    maintenance
    A server that provides web scraping and intelligent content searching capabilities using the Firecrawl API, enabling AI agents to extract structured data from websites and perform content searches.
    Last updated
    2
    MIT

  • Why this server?

    This server focuses on AI-powered web scraping, crawling, and content extraction, directly addressing the user's need to 'scrape content from website'.

    A
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol server that provides web scraping capabilities, enabling AI to extract and analyze web content through page structure analysis, schema-based extraction, and screenshot capture.
    Last updated
    1
    MIT

  • Why this server?

    This server provides comprehensive web search, content extraction, web crawling, and general scraping capabilities using the Firecrawl API.

    F
    license
    C
    quality
    C
    maintenance
    Built as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.
    Last updated
    4
    1

  • Why this server?

    This server is specifically designed for web scraping content from websites that are difficult to access due to bot detection, captchas, or geo-restrictions.

    A
    license
    A
    quality
    A
    maintenance
    A server that enables web scraping of difficult-to-access websites affected by bot detection, captchas, or geolocation restrictions, returning results in either HTML or Markdown format.
    Last updated
    4
    2
    75
    18
    MIT

  • Why this server?

    This server is designed to extract meaningful content from websites and convert HTML into high-quality Markdown format.

    A
    license
    D
    quality
    D
    maintenance
    An MCP server that extracts meaningful content from websites and converts HTML to high-quality Markdown, using Mozilla's Readability engine.
    Last updated
    1
    9,425
    8
    MIT