How to Extract Product Data with OpenClaw
Use OpenClaw and ToolRouter to extract product data from e-commerce sites. Automated catalog building with AI.
Tool
OpenClaw extracts product data from multiple e-commerce pages in a single automated run, producing structured JSON with consistent field names across different site layouts. The batch approach handles catalog-scale extraction and outputs data ready for database import, spreadsheet analysis, or feeding into product intelligence pipelines.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Web Scraper tool:
- Ask OpenClaw: "Extract product details from example-store.com/product/123"
- OpenClaw scrapes the page and returns structured product data
- Request: "Extract the same fields from these 10 product URLs and return as JSON array"
- Use the batch results for your catalog or analysis pipeline
Example Prompt
Try this with OpenClaw using the Web Scraper tool
Extract product name, price, description, and images from example-store.com/product/123. Return structured JSON.
Tips
- OpenClaw handles batch URLs efficiently for large-scale extraction
- Ask for JSON output that can be directly imported into your database
- Chain with data validation to ensure extracted fields are complete