How to Extract Product Data with ChatGPT
Scrape product data from e-commerce pages using ChatGPT and ToolRouter. Structured product extraction made easy.
Tool
ChatGPT scrapes product data and presents it in clean, organized tables you can immediately use. It handles messy e-commerce markup gracefully, explains what data it found and what was unavailable, and can generate comparison spreadsheets or product database entries from the extracted information.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
Steps
Once connected (see setup above), use the Web Scraper tool:
- Ask: "Extract the product details from example-store.com/product/123"
- ChatGPT uses ToolRouter to scrape the page and return structured product data
- Request formatting: "Put the results in a table with product name, price, and rating columns"
- Ask for batch extraction: "Now do the same for these 5 other product URLs"
Example Prompt
Try this with ChatGPT using the Web Scraper tool
Scrape the product page at example-store.com/product/123 and give me the name, price, description, and availability in a clean table.
Tips
- ChatGPT formats extracted data beautifully in tables and lists
- Ask it to identify patterns across multiple products for market analysis
- Request a summary comparing products across different stores