Web Scraper MCP
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Alternatives to 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.518 npm2MIT
- 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.5 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 gradedqualityDmaintenanceEnables LLMs to extract content from websites using automated static and dynamic scraping engines with built-in anti-bot protections. It provides tools for web data retrieval and stores results in MongoDB with support for JSON and CSV exports.-
- AlicenseAqualityAmaintenanceWeb scraping, crawling, and structured data extraction for AI agents. 5 tools: scrape (clean markdown from any URL), crawl (entire sites), map (discover URLs), extract (structured JSON), and search. 833ms avg latency, single binary, self-hostable.81,051AGPL 3.0
- AlicenseAqualityAmaintenanceEnables web search via a real browser for any LLM, bypassing anti-bot measures without API keys.5MIT
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.