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Crawl web content through Crawlbase for collection and downstream analysis.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Crawlbase" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-crawlbase' 'https://gateway.pipeworx.io/crawlbase/mcp'
Use the Crawlbase MCP to crawl this webpage and return the page title, main text, and link list: https://example.com
Structured crawl results including the page title, text content, and links found on the page.
Use the Crawlbase MCP to crawl the following 5 URLs and organize the results into a table with URL, title, status, and summary.
A consolidated table of crawl results by URL, ready for further analysis or export.
Use the Crawlbase MCP to crawl this competitor product page and extract the product name, key selling points, and major links on the page.
Key information fields extracted from the page for competitor research and organization.
Developers or data analysts can use this tool to access Crawlbase crawling capabilities and collect webpage content for cleaning, analysis, or storage.
Researchers can crawl public webpages for text and links, reducing manual copying and retrieval work when gathering reference materials.
When webpage collection needs to be integrated into an AI workflow, this MCP tool can standardize the crawling step as part of an automated process.
It is an MCP tool that wraps the Crawlbase Crawling API, allowing AI agents or workflows to use web crawling capabilities.
Based on the name and description, it depends on the Crawlbase Crawling API. For the exact authentication and setup details, see the source repository.
Its core purpose is wrapping Crawlbase web crawling capabilities rather than acting as a general search tool. For exact input and output behavior, see the source repository.
Fetch, crawl, and analyze web pages for SEO, extraction, and research.
Crawl websites, extract links, and capture page content with browser fallback.
Run self-hosted web crawling that bypasses anti-bot and JS protections.
Scrape pages and crawl websites automatically for structured content collection.
Crawl websites, build a vector knowledge base, and run semantic search.
Crawl websites and power flexible RAG-based content retrieval across AI stacks.