"Web scraping tools and browser automation for content extraction" matching MCP servers:

MCP server for AI browser automation with tools for navigation, actions, data extraction, and scripting, supporting local and cloud execution.

Enables programmatic headless browser automation for creating sessions, interacting with pages, browsing, and extracting rendered content, with built-in anti-bot and protected-page support.

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.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

A comprehensive MCP server that provides powerful web automation tools using Playwright, enabling web scraping, testing, and browser interaction through natural language commands.

Lets AI assistants manage a self-hosted content hub: create, edit, publish, and update articles across nine platforms, refresh account article lists, and sync changes through natural language.

Enables AI agents to analyze a piece of content across 11 dimensions and receive ranked, scored recommendations among six cross-media output formats (PPT, infographic, comic, short video script, newsletter, reusable skill), then generate dispatch prompts for the chosen format. It also exposes the format catalog and profile schema as read-only tools, supporting batch routing of an entire content library.

Reliable, scalable browser infrastructure for AI agents. Route, pool, and failover across any browser provider. 8 built-in browser tools using raw Chrome CDP - navigate, screenshot, snapshot, interact, evaluate. Zero-config with auto Chrome detection & concurrent sessions support

Enables video text extraction using multiple speech recognition providers including local Whisper, JianYing/CapCut, and Bilibili Cut services. Supports video downloading, audio extraction, and automatic speech-to-text transcription with configurable providers.

A token-efficient MCP server for Chrome browser automation that uses direct CDP and accessibility-tree-based references for stable element selection across DOM changes.

MCP server providing browser automation for AI agents, enabling actions like clicking and typing, structured data extraction, content validation, multi-step task execution, and memory enrichment from web pages.

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.

Multi-platform content distribution — draft posts, repurpose content, generate carousels, schedule, analyze performance, create threads. 7 MCP tools.

Self-hosted MCP server for AI browser automation. Connects to your own Chromium instance via CDP, providing tools for browser control, navigation, interaction, and content extraction.

An MCP server that enables AI coding tools to control a browser for automated actions, UI extraction, network interception, and screenshots.

Provides undetectable browser automation for AI agents, bypassing Cloudflare and other anti-bot systems. Includes 97 tools for navigation, scraping, network interception, and element cloning.

MCP server for multi-engine web search and web page fetching, supporting parallel search, content extraction, and optional LLM-powered search summarization and deep search.

MCP server that fetches raw HTML content from a given URL to provide web context to LLMs.

An MCP server for comprehensive browser automation and full local PC control via shell commands and Python execution. It enables tasks like web navigation, file system management, and remote access through SSE with token authentication.

A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.