---
title: ToolRouter — Use Case
description: Step-by-step guide for a real-world ToolRouter use case with agent-specific instructions.
url: https://toolrouter.com/tools/web-scraper/use-cases/extract-product-data
---
# Extract Product Data from E-Commerce Sites

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.

**Tool:** [Web Scraper](https://toolrouter.com/tools/web-scraper)
**Skills:** scrape_page, extract_data

## Agent Guides

- [How to Extract Product Data with Claude](https://toolrouter.com/tools/web-scraper/use-cases/extract-product-data/claude): Guide for Claude
- [How to Extract Product Data with ChatGPT](https://toolrouter.com/tools/web-scraper/use-cases/extract-product-data/chatgpt): Guide for ChatGPT
- [How to Extract Product Data with Copilot](https://toolrouter.com/tools/web-scraper/use-cases/extract-product-data/copilot): Guide for Copilot
- [How to Extract Product Data with OpenClaw](https://toolrouter.com/tools/web-scraper/use-cases/extract-product-data/openclaw): Guide for OpenClaw
