"How to scrape data from a web page" matching MCP servers:

MCP server for AI-powered web research — search (Google, Brave, Serper, SearXNG), scrape any page, extract PDFs/DOCX/YouTube transcripts, academic & patent search. Single Go binary. Works with Claude, Cursor, Copilot, and any MCP client.

Records Chrome network requests and responses for LLM knowledge bases, and exposes query and browser control capabilities via MCP tools like list_sessions, navigate, and evaluate.

MCP server that provides web search via LLM API gateways with server-side search, returning cited answers and multi-provider fallback.

Provides read-only access to Chinese A-share stock market data such as quotes, K-lines, financials, capital flows, news, and research reports via a stdio MCP server for DeepSeek Harness and other MCP clients.

MCP server that will proxy to your gRPC backends via reflection or descriptors file.

An MCP server providing web search, image search, and page scraping tools to LLMs without requiring API keys.

Hybrid search over your local documents, with file and page citations. One binary, fully local.

An MCP server that lets AI publish markdown documents to a clean, themed web UI. One tool call creates a shareable doc.

Gives AI assistants real-time access to web data with the ability to scrape any website, bypass anti-bot systems, extract structured data, and capture screenshots through enterprise-grade infrastructure.

A local workspace whose accessible pages and MCP tools are generated from the same definitions, so AI agents can do everything a person can: create, update and find notes, tasks and projects, build and arrange pages, and read any page back as a screen reader gets it.

Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.

A Model Context Protocol server enabling AI assistants to query and explore data warehouses via Trino, with optional semantic context from metadata catalogs.

Turns any web page into clean, token-budgeted Markdown for AI agents, with no browser installation required.

Enables AI agents to send HTML documents to a local viewer, where they are stored and displayed in a live web UI for browsing and searching.

Enables OAuth-authenticated access to Garmin account data through MCP, with a read-only web dashboard for monitoring account connections and activity.

A high-performance, asynchronous MCP server that provides comprehensive Google search and web content scraping capabilities through the Firecrawl API, designed for LLMs to retrieve external information efficiently.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

swagger-mcp is a tool designed to scrape Swagger UI by extracting the swagger.json file and dynamically generating well-defined mcp tools at runtime. These tools can be utilized by the MCP client for further tool selection.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

Enables LLMs to run web and academic searches across multiple engines (Baidu, Bing, DuckDuckGo, Tavily, Exa, Doubao and 9 scholarly sources) with local relevance scoring, deduplication and caching, plus SSRF-protected page fetching and PDF parsing, and works without any API key. It plugs into MCP clients like Claude Code, Cursor and Qwen Code, or can be embedded as a Go module.