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Use AI-powered scraping to reliably extract and structure website data.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ai.smithery/ScrapeGraphAI-scrapegraph-mcp" MCP server from askskill: Run: claude mcp add --transport http 'ai-smithery-scrapegraphai-scrapegraph-mcp' 'https://server.smithery.ai/@ScrapeGraphAI/scrapegraph-mcp/mcp'
Scrape these competitor pages and extract product names, pricing, key features, and last updated dates, then return the results in a table: https://example.com/a, https://example.com/b
A structured table with key details from each page for competitor analysis.
Visit the following news article URLs, extract the title, author, publish date, and a 100-word summary, then output a JSON array.
Standardized JSON ready for downstream analysis, storage, or automation.
Identify and extract the company name, contact details, address, and business description from the target webpage; if the page is complex or fields are scattered, still extract them as accurately as possible.
Cleaned extracted fields that reduce manual searching, copying, and formatting.
Automate Scrapegraph AI tasks via Rube MCP with schema-first tool discovery.
Crawl websites, extract dynamic content, and save structured Markdown files.
Scrape static HTML pages and extract structured content for AI analysis.
Scrape pages, process URLs in batches, and crawl websites with AI extraction.
Scrape web pages into Markdown for content capture and agent workflows.
Scrape websites for text, links, images, metadata, screenshots, and structured data.