---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/web-scraper/use-cases/gather-real-estate-data/openclaw
---
# How to Gather Real Estate Data with OpenClaw

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.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

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

## Example Prompt

```
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
