Discover our curated collection of MCP servers for web scraping & data collection. Browse 1878servers and find the perfect MCPs for your needs.
Bypasses search engine anti-scraping mechanisms to execute Google searches and extract results.
Downloads YouTube subtitles using yt-dlp and connects to claude.ai via Model Context Protocol.
Enables seamless interaction between users, web agents, and browsers by recording and replaying browser actions.
Retrieves transcripts directly from YouTube videos using a simple interface.
Provides remote access to Jina AI's Reader, Embeddings, and Reranker APIs for web content processing and search.
Automates and simplifies diverse research workflows by integrating large language models with web search, social media, mapping, and code exploration.
Integrates the SearXNG API to provide web search capabilities within an MCP environment.
Provides A-share (China stock market) data to large language models via the Model Content Protocol (MCP).
Automates browser interactions through Puppeteer for both new and existing Chrome instances.
Enables integration between Model Context Protocol (MCP) clients and the Graphlit service for content ingestion and knowledge retrieval.
Searches Airbnb listings and retrieves detailed listing information.
Empowers AI assistants to seamlessly browse Reddit content, search for posts, and analyze user interactions without complex setup.
Empowers AI agents and LLMs with real-time web access, data extraction, and bot bypass capabilities.
Fetches and analyzes content from Reddit, providing access to hot threads and post details.
Provides comprehensive stock data querying and analysis functionalities via an MCP server leveraging AkShare.
Automates browser interactions through the Model Context Protocol using Selenium WebDriver.
Enables AI applications to use Apify Actors as tools for performing specific tasks like data extraction and web scraping.
Automate web interactions to bypass advanced anti-bot systems, Cloudflare, and social media blocks for undetectable real-browser automation.
Enables LLM applications to perform in-depth research through the MCP protocol.
Conducts in-depth, iterative research on any topic using AI-powered search, web scraping, and source evaluation to generate comprehensive reports.
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