# Web Scraping

The ScrapeGraph MCP Server is a production - ready model context protocol server that provides seamless integration with the ScrapeGraph AI API, enabling language models to leverage advanced AI - driven web scraping capabilities.

An MCP server for fetching web page content and YouTube video subtitles

This is a Playwright web content retrieval service based on the Model Context Protocol (MCP), providing functions such as web page navigation, content scraping, interactive element detection, and mouse operation simulation.

MCP Fetch is a service tool designed for Claude Desktop, used to scrape web content and process images. It supports automatic downloading and running of the latest version and requires a macOS environment.

An MCP service collection project that includes YouTube, Mermaid chart, Reddit, and web scraping functions

An in - depth research MCP server that combines Brave Search and Puppeteer web scraping, capable of extracting full web page content and exploring linked pages.

A lightweight MCP server for obtaining and providing web page content in Markdown format, supporting automatic hashing, tokenization, and caching of content, and allocating stable URIs for resource lookup.

The Scrapezy MCP Server is a service that enables AI models to extract structured data from websites and supports data scraping through tools such as Claude.

MCP Fetch is a web content scraping and image processing service tool designed for Claude Desktop, supporting automated extraction of web content, titles, and optimized image processing.

This is a Playwright web content retrieval server based on the Model Context Protocol (MCP), providing functions such as web page navigation, content capture, interactive element detection, and mouse operation simulation.

Firecrawl MCP Server is a model context protocol server that integrates Firecrawl's web crawling capabilities, providing functions such as web scraping, crawling, searching, content extraction, and in - depth research, and supporting features such as JavaScript rendering, URL discovery, batch processing, and automatic retry.

The MCP Web Browser Server is an advanced headless browser service based on Playwright, providing web browsing, content extraction, and interaction functions through a flexible API.

An MCP server based on Node.js that provides web content scraping and conversion functions, supports converting HTML to Markdown, and is suitable for LLM to process web content.

The Firecrawl MCP Server is a Model Context Protocol server integrating Firecrawl's web - scraping capabilities, providing rich web - scraping, searching, and content - extraction functions.

A website data scraping and structured extraction service based on the Firecrawl API

Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.

A browser automation MCP server based on Playwright, providing web scraping, testing, and automation tools

LionScraper is a browser extension that enables web data collection through MCP, CLI, and HTTP API bridging tools.

The Claudesidian MCP Server is a service project that interacts with the Obsidian knowledge base. It provides functions such as note management, web scraping, and memory retrieval, and supports local deployment and extended development.

The LSD MCP server is a bridge connecting Claude AI with Internet data, enabling efficient querying and aggregation of web data through the LSD SQL language.

The Model Context Protocol (MCP) Server is a modular server that supports various context - aware tasks. Currently, it includes research and web scraping functions, and is suitable for projects that require automated research or real - time data extraction.

An MCP server for scraping and converting web page content, supporting multiple format outputs and media file processing.

The AgentQL MCP Server is a model context protocol server integrating AgentQL's data extraction capabilities, supporting the extraction of structured data from web pages.

A TypeScript - based MCP server that provides web content scraping capabilities

The Olostep MCP Server is an MCP server implementation integrating Olostep services, providing functions such as web content extraction, search engine result retrieval, and website URL discovery, and supporting multi - country request routing and JavaScript rendering waiting.

A comprehensive MCP protocol server that offers advanced functions such as web scraping, data analysis, system monitoring, file operations, API integration, and report generation. It supports seamless integration with MCP clients like Claude Desktop.

An MCP server that enhances local LLM services, providing functions such as web text scraping, link extraction, and web search.

An optimized MCP protocol web scraping server that significantly reduces the token usage of AI processing through server - side HTML to Markdown conversion and CSS selector filtering, providing efficient content extraction functions.

The Linkup MCP Server is a server based on the Model Context Protocol, providing real-time web search and web page content scraping functions through the Linkup API, enabling AI assistants to access the latest information on the Internet.

Search Stack is a web search and scraping middleware layer specifically designed for AI Agents, providing a unified API for multi-engine search, anti-crawler rendering, Cookie management, and main content extraction. It aims to solve problems such as quota limitations, anti-crawler interception, and lack of login states that AI encounters when accessing web pages.