Tools / Web Scraper / Use Cases / Extract Product Data from E-Commerce Sites

Extract Product Data from E-Commerce Sites

Extract product names, prices, descriptions, and images from e-commerce sites for analysis or catalog building.

Tool
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Web Scraper

Building a product database or comparing prices across retailers requires structured data from e-commerce pages. Manually copying product information is tedious, error-prone, and impossible at scale. Automated extraction turns messy HTML into clean, structured product records you can analyze or import into your own systems.

ToolRouter's Web Scraper tool combines scrape_page and extract_data to fetch any product page and pull out specific fields like name, price, SKU, availability, and images. The extraction is intelligent — it understands common e-commerce page layouts and adapts to different site structures without requiring custom selectors for each retailer.

This is invaluable for market research, building comparison shopping tools, monitoring MAP (Minimum Advertised Price) compliance, and populating your own product catalog with data from supplier websites.

Agent Guides

Claude

  1. Connect ToolRouter to Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Scrape the product page at example-store.com/product/123 and extract the product name, price, and description"
  3. Claude calls scrape_page to fetch the HTML, then extract_data to pull structured fields
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ChatGPT

  1. Add ToolRouter to ChatGPT using the MCP JSON configuration
  2. Ask: "Extract the product details from example-store.com/product/123"
  3. ChatGPT uses ToolRouter to scrape the page and return structured product data
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Copilot

  1. Add ToolRouter to your Copilot MCP configuration
  2. Open Copilot Chat and ask: "Scrape product data from example-store.com/product/123"
  3. Copilot extracts the data and returns it inline in your editor
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OpenClaw

  1. Connect ToolRouter to OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask OpenClaw: "Extract product details from example-store.com/product/123"
  3. OpenClaw scrapes the page and returns structured product data
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