apify-mcp-server and crawl4ai-mcp-server
These are **competitors**: both provide MCP servers that expose web scraping/crawling capabilities to AI agents, with Apify offering managed cloud-based scrapers and pre-built actors while Crawl4AI offers a self-hosted, open-source alternative.
About apify-mcp-server
apify/apify-mcp-server
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
This tool allows AI assistants to gather specific information from websites, social media, search engines, and e-commerce platforms. You provide a task to your AI agent (like "find contact details for businesses in X city" or "extract posts from Y Facebook page"), and it uses pre-built web scraping tools to deliver structured data. This is for professionals like marketers, researchers, or business analysts who use AI assistants and need to collect publicly available web data.
About crawl4ai-mcp-server
sadiuysal/crawl4ai-mcp-server
🕷️ A lightweight Model Context Protocol (MCP) server that exposes Crawl4AI web scraping and crawling capabilities as tools for AI agents. Similar to Firecrawl's API but self-hosted and free. Perfect for integrating web scraping into your AI workflows with OpenAI Agents SDK, Cursor, Claude Code, and other MCP-compatible tools.
This is a self-hosted server that helps AI agents access web content. It takes URLs, domain names, or sitemaps and extracts information from web pages or entire websites. The output is structured markdown content and metadata that your AI workflow can readily use. It's designed for AI developers, researchers, or anyone building AI agents that need to gather information directly from the internet.
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