Search the web to find relevant pages, returning URLs, titles, and snippets immediately for pre-scraping discovery.
Apache 2.0
758,043 tools. Updated 2026-11-07 22:18
"Web scraping and content extraction" matching MCP tools:
- Search Apify and Crawlee docs via full-text queries to find relevant pages on platform features, SDKs, CLI, REST API, and web scraping libraries.MIT
- Extract clean content from a public URL, returning Markdown, text, metadata, links, JSON-LD schema, and sections for scraping, RAG ingestion, or content analysis.MIT
- Fetches raw HTML from any webpage in request mode without rendering, enabling scraping, audits, monitoring, and link or metadata extraction.MIT
- Extract and process web content from URLs for data collection, content analysis, and research tasks, supporting multiple formats and extraction depths.MIT
- Fetch any public web page and extract its readable content as clean markdown. Respects robots.txt, handles redirects, ideal for research and RAG.MIT
Matching MCP Servers
- AlicenseAqualityAmaintenanceEnables fetching any public web page through managed proxies, with optional JavaScript rendering, returning markdown, text, HTML, or structured JSON.165 npm17 PyPI10MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to fetch public web pages as readable text or HTML, with caching, live refresh, and parallel job handling.347 npmMIT
Matching MCP Connectors
- web-scrapingOAuth
superagnt: marketing plugin for Claude and ChatGPT. Know your market: scrape and search the web.
Production web scraping and extraction engine with markdown extraction, DOM pruning, and anti-bot mitigation.
- Extract structured data and text content from web pages using specific instructions and a defined schema for scraping information.Apache 2.0
- Extract structured data and text content from web pages using specific instructions and JSON schemas for scraping, information gathering, or content collection.Apache 2.0
- Perform comprehensive web searches with full page content extraction for detailed research and analysis across multiple sources.MIT
- Extract structured data and text content from web pages using specific instructions and JSON schema for scraping, information gathering, or content collection.Apache 2.0
- Extract structured data and text content from web pages using specific instructions and JSON schemas for scraping, information gathering, or content retrieval.Apache 2.0
- Extract structured data and text from web pages by providing specific instructions and a defined schema for scraping content.Apache 2.0
- Extract structured data and text content from web pages using specific instructions and JSON schemas for scraping, information gathering, or content collection.Apache 2.0
- Extract structured data and text from web pages using specific instructions and JSON schema for scraping content or gathering information.Apache 2.0
- Extract structured data and text content from web pages using specific instructions and JSON schemas for scraping information, gathering content, or pulling targeted data from websites.Apache 2.0
- Extract structured data and text content from web pages using specific instructions and a defined schema for data scraping and information gathering.Apache 2.0
- Extract structured data and text content from web pages using specific instructions and defined schemas for scraping, information gathering, or content retrieval.Apache 2.0
- Extract structured data from web pages by specifying instructions and a JSON schema. Ideal for scraping specific content like product details, articles, or lists.Apache 2.0
- Extract structured data from web content using AI. Specify a URL and extraction instructions to retrieve organized information from articles, documents, or text-based web pages.MIT
- Retrieve and extract clean text from web pages and PDFs, including JavaScript-rendered content, with automatic fallback to alternative extraction methods.MIT
- Extract clean readable content from up to 20 URLs: text, title, author, date. Eliminates scraping. Feed web pages into AI agent context windows.MIT