How to Search Fashion and Home Products with OpenClaw
Search fashion and home products with OpenClaw and ToolRouter. Batch product data for discovery.
Tool
OpenClaw processes product search queries in batch across style categories and descriptions, returning normalized product records for shopping discovery platforms, style recommendation engines, or product catalogue applications. Build comprehensive style-matched product datasets without individual searches.
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 Style Finder tool:
- Prepare a list of product descriptions or style queries
- Ask: "Use style-finder to search for each product type in this list"
- OpenClaw returns structured product data for all queries
- Normalize to a stable schema with product_name, brand, price, style_tags, and buy_url
Example Prompt
Try this with OpenClaw using the Style Finder tool
Use style-finder to search for these product categories: minimalist desk lamps, Japandi ceramic bowls, and oversized linen shirts in neutral tones. Return stable JSON with product_name, brand, price, currency, style_tags, colour, and buy_url for all results.
Tips
- Tag each record with the search_query that generated it to support category filtering in your app
- Lock the schema before your first batch run so all category results are directly comparable
- Schedule daily refresh runs for fashion categories where availability changes frequently