Discover our curated collection of MCP servers for web scraping & data collection. Browse 2022servers and find the perfect MCPs for your needs.
Enables conversational searching of NIH-funded research projects and publications via the NIH RePORTER API.
Analyzes web content, extracts information, and identifies potential issues.
Monitors product prices from Gmarket, comparing them to a database baseline and sending Slack alerts upon price drops.
Automates browser interactions using Playwright to enable LLMs to interact with web pages.
Query flight and train information using the Variflight API.
Integrates Kagi Search and Summarizer APIs into an MCP server, offering a stable alternative for AI applications.
Provides a Node.js-based Model Context Protocol (MCP) server for robust web search and intelligent content analysis capabilities.
Accesses RuneScape Wiki APIs to provide real-time Grand Exchange prices, item data, and player statistics for RuneScape 3.
Retrieves and expands YouTube video comments and their replies using the YouTube Data API v3, delivering the data as a structured JSON string.
Enables AI agents to search and retrieve content from websites.
Integrates with Open-Meteo to provide current weather conditions and hourly forecasts via a Model Context Protocol server.
Provides programmatic access to web search results and page content extraction via an HTTP API.
Provides real-time stock price information and market states from global exchanges using the Yahoo Finance API.
Automate web browsing, scrape content, extract structured data, and crawl webpages using advanced browser agents.
Exposes the comprehensive Serper Google Search API, including its webpage scrape functionality, as an MCP server.
Fetches YouTube transcripts and subtitles using yt-dlp, providing paginated responses for integration with MCP hosts.
Enables AI agents to capture web content by taking screenshots, generating PDFs, creating OG images, and running browser automation directly from chat.
Integrates global economic indicators from the World Bank with child welfare metrics from UNICEF into a comprehensive dataset.
Retrieves and analyzes Wildberries product reviews for seamless integration with Large Language Models.
Provides a fully decentralized, P2P, and free web search engine specifically designed for Large Language Models (LLMs) without the need for API keys or billing.
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