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Tools / Web Scraper / Use Cases / Gather Real Estate Listing Data / OpenClaw

How to Gather Real Estate Data with OpenClaw

Use OpenClaw and ToolRouter to gather real estate data. Automated property listing extraction for market research.

Tool
Web Scraper icon
Web Scraper

OpenClaw scrapes real estate data from multiple listing sites in one automated run, producing structured records with prices, locations, property details, and listing dates. The batch approach handles market-scale data collection and outputs datasets ready for import into analytics platforms, valuation models, or investment databases.

Connect ToolRouter to OpenClaw

1Install the CLI
npm install -g toolrouter-mcp
2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp tools
No API key needed — account created automatically.All platforms →

Steps

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

  1. Ask: "Scrape property details from example-realty.com/listing/12345"
  2. OpenClaw extracts structured property data including all specs and pricing
  3. Request: "Extract data from these 10 listing URLs and compile into a comparison spreadsheet"
  4. Use the compiled dataset for market analysis or investment decisions

Example Prompt

Try this with OpenClaw using the Web Scraper tool
Extract property details from example-realty.com/listing/12345. Include price, beds, baths, sqft, and lot size as structured JSON.

Tips

  • OpenClaw handles batch extraction across multiple listings efficiently
  • Ask for calculated fields like price per square foot in the output
  • Export as CSV for direct import into spreadsheet analysis tools

More OpenClaw Guides

How to Extract Product Data with OpenClawHow to Monitor Competitor Pricing with OpenClawHow to Scrape Job Listings with OpenClawHow to Extract Contact Info with OpenClawHow to Scrape Reviews for Sentiment with OpenClaw

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