"Extracting data from GitHub" matching MCP servers:

A middleware API that connects AI assistants like ChatGPT to Captain Data tools for extracting information from LinkedIn company and profile pages.

MCP server for structured web data access, enabling local-market research and lead-list enrichment by returning business names, locations, ratings, and review signals from concrete queries.

Provides an MCP server for scraping and retrieving data from GitHub Projects, including issues, pull requests, and organizational metadata. It enables natural language interaction with project boards and repository contents using GitHub Personal Access Tokens.

Model Context Protocol (MCP) server for web content fetching and extraction. Enables fetching webpages, extracting clean content using Trafilatura, discovering links, and batch fetching up to 10 URLs.

A production-ready Model Context Protocol server that enables language models to leverage AI-powered web scraping capabilities, offering tools for transforming webpages to markdown, extracting structured data, and executing AI-powered web searches.

SocialCrawl provides the "best" quality public web data on the internet. Access 65+ real-time social media, e-commerce and public web data from a single API with a single schema.

An MCP server that runs Apify scraping actors with quality-gated validation, scoring, and retries, returning embedding-ready chunks for AI agents.

An APAC-native web scraping API for AI agents that provides tools for scraping, crawling, searching, and extracting structured data from websites, directly usable from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Enables searching and scraping job postings from supported sites via Playwright, extracting details, registering them to a Notion database with deduplication, and sending tiered collection summaries to Discord.

Enables AI assistants to crawl websites, export crawl data, and manage crawl storage using Screaming Frog SEO Spider through the MCP protocol.

Turns any web page into structured data without an LLM or API key: reads the JSON-LD, microdata, RDFa, OpenGraph and other data a page declares, with where each value came from, and returns clean markdown or extractors learnt from examples. Obeys robots.txt.

Given a company domain, finds specified page types (like pricing or careers) on the company's own website and returns the URL, discovery method, and confidence score, optionally extracting structured data from the page.

Enables reading web pages and PDFs as clean Markdown, extracting main content and letting agents query for relevant passages, outline sections, search in-page, and list links while respecting robots.txt and blocking private addresses.

A Model Context Protocol server that enables Claude to perform web research by integrating Google search, extracting webpage content, and capturing screenshots in real-time.

Enables AI assistants to discover and extract sitemaps from any website, providing tools for finding sitemap files, extracting URLs, and performing full crawls.

Enables discovery of 1990s-early 2000s Japanese personal websites from web archives by replaying old discovery routes like directories and web rings, with tools for fetching archived pages and extracting links.

Provides financial data for Indian listed companies from screener.in, enabling users to search companies and fetch financial statements, ratios, and peer comparisons.

MCP server for Screaming Frog SEO Spider headless crawls without GUI. 8 tools for crawling sites, exporting data, and managing crawl storage. Cross-platform (Mac + Windows). Forked from bzsasson/screaming-frog-mcp with 6 critical bug fixes.

An MCP server that bridges LLMs with dynamic real-world data by leveraging Chrome DevTools Protocol to intercept and reconstruct network traffic, enabling AI agents to extract high-quality structured data from complex web environments.

FastMCP-based tool for extracting UI component code from Uiverse.io, supporting HTML/CSS, React, Vue, Svelte, and Lit frameworks.