"Real-time web scraping tools" matching MCP servers:

Enables real-time web page fetching, web searches, RSS/Atom feed parsing, and competitor mention tracking to monitor market and competitor changes.

A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.

Enables AI assistants to fetch public web pages as readable text or HTML, with caching, live refresh, and parallel job handling.

Zero-dependency MCP server that wraps OpenAI Codex's standalone search endpoint into codex_web_search and codex_web_research tools for Claude Code, enabling real-time web search and multi-step deep research independent of the underlying model.

Provides LLMs with real-time web search and content extraction capabilities, including text/news search, full-text URL reading, and targeted technical documentation search.

An MCP server that enables LLMs to drive a Chromium browser for web scraping, collecting structured data, and exporting to CSV.

This MCP server enables free web search and page content extraction using real browsers, with support for multiple search engines and stealth browser backends. It provides tools for searching, fetching pages, and setting up the Camoufox stealth browser.

Enables fetching any public web page through managed proxies, with optional JavaScript rendering, returning markdown, text, HTML, or structured JSON.

Enables LLMs to fetch and process web page contents by providing tools to retrieve raw HTML, extract clean text, and convert web pages to markdown format.

Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.

Provides web access capabilities for LLMs including search, fetching, content extraction, PDF reading, image viewing, and screenshots.

Provides an LLM client with self-hosted web scraping capabilities including scraping, crawling, mapping, searching, structured data extraction, browser interaction, and deep research, without reliance on paid proxy or CAPTCHA services.

MCP server for web scraping with natural language, enabling site crawling, page fetching, and extraction of emails, phones, links, and social profiles. Returns clean markdown, handles JavaScript rendering, and respects rate limits.

Enables AI agents to extract structured content from URLs, search the web via DuckDuckGo, monitor site availability, and convert HTML to markdown without requiring API keys.

MCP server for real-time public-web lead research without search API keys, using Google Maps and web search engines with LLM-based extraction, crawling, and local lead storage/export.

Enables AI assistants to search, browse, and analyze Reddit in real-time via web scraping, including subreddit browsing, post comments, and business opportunity scoring.

Web search, content extraction, and library docs for AI agents with 5-strategy scraping and runs without API keys.

Enables AI assistants to access real-time web data through search, markdown scraping, and browser automation while bypassing anti-bot protections. It provides tools for web research, e-commerce monitoring, and data extraction from across the globe.

Provides tools for searching LinkedIn profiles and extracting names, URLs, and headlines via Playwright-based web scraping. Supports location and network filters with automatic login and cookie persistence.

Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.