Web Scraper MCP
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- AlicenseBqualityAmaintenanceEnables privacy-first web scraping and structured data extraction using a local headless browser and your own LLM key. Supports tools for scraping, batch scraping, data extraction with prompts or schemas, and screenshots.56 npm3MIT
- FlicenseNot gradedqualityAmaintenanceEnables language models to perform AI-powered web scraping, extraction, search, crawling, schema generation, and scheduled monitoring through a web-scraping API. It supports integration with clients such as Claude Desktop and Cursor.-
- FlicenseNot gradedqualityAmaintenanceEnables language models to perform AI-powered web scraping, structured extraction, search, crawling, schema generation, and scheduled monitoring through an integrated web-scraping API.-
- AlicenseNot gradedqualityBmaintenanceEnables web scraping and crawling capabilities for LLM clients, supporting single-page scraping, multi-page website crawling, and web search with multiple engines (Playwright, Cheerio, Puppeteer) and flexible output formats including markdown, HTML, text, and screenshots.19 npm6MIT
- AlicenseNot gradedqualityCmaintenanceEnables LLMs to fetch and extract web content using browser automation, OCR, and multiple extraction methods, handling JavaScript rendering and anti-scraping techniques.17MIT
- FlicenseNot gradedqualityAmaintenanceEnables language models and AI assistants to scrape, extract, search, crawl, generate schemas, and monitor web data through an API-backed toolset.-
TDQS
Scored across 4 tools
scrape and extract both operate on a page but are clearly distinguished by output type: markdown document vs structured JSON/answer. search and deep_research are also distinct, though deep_research could be seen as a superset of search.
All tools use lowercase snake_case imperative verbs: scrape, extract, search, deep_research. The naming pattern is consistent and predictable.
Four tools is well-scoped for a web scraper/research server: one for raw page content, one for structured extraction, one for search, and one for synthesis. Each tool has a clear purpose with no redundant bloat.
The core web research workflow is covered: search, fetch, extract, and synthesize. A minor gap is the lack of batch crawling or link-following features, but most common agent tasks can be completed with these tools.