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Extract Product Data from E-Commerce Sites

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

Quick answer: Use the Web Scraper tool through ToolRouter to extract product data from e-commerce sites directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.

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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.

How to extract product data from e-commerce sites with Claude, ChatGPT, Microsoft Copilot, and OpenClaw

Claude extracts product data and lets you refine the output interactively. After the initial scrape, ask Claude to clean up pricing formats, extract additional fields you missed, or compare products across multiple pages. The conversational flow means you can iterate on your extraction without restarting from scratch.

Connect ToolRouter to Claude

1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouter
URL
https://api.toolrouter.com/mcp
3Let Claude set you up Open Claude

How to extract product data from e-commerce sites with Claude

Once connected (see setup above), use the Web Scraper tool:

  1. Ask Claude: "Scrape the product page at example-store.com/product/123 and extract the product name, price, and description"
  2. Claude calls scrape_page to fetch the HTML, then extract_data to pull structured fields
  3. Review the extracted data — Claude returns it as clean JSON with all requested fields
  4. Ask Claude to scrape multiple product pages and compile the results into a table

Example prompt for Claude

Try this with Claude using the Web Scraper tool
Use the web-scraper tool to extract the product name, price, rating, and availability from amazon.com/dp/B0EXAMPLE. Return the data as structured JSON.

Tips for Claude

  • Claude can iterate over multiple product URLs and compile results into a single dataset
  • Ask for specific fields and Claude will extract exactly what you need
  • Chain with data analysis to compare products across different retailers

Frequently Asked Questions

How do I extract product data from e-commerce sites with an AI assistant?

Extract product names, prices, descriptions, and images from e-commerce sites for analysis or catalog building. Connect the Web Scraper tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Scrape the product page at example-store.com/product/123 and extract the product name, price, and description" Claude calls scrape_page to fetch the HTML, then extract_data to pull structured fields

Which AI assistants can extract product data from e-commerce sites?

Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all extract product data from e-commerce sites using the Web Scraper tool through ToolRouter, with no API keys or coding required.

What does the Web Scraper tool do?

Scrape, crawl, and extract structured data from any website with powerful web scraping tools.

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