Extract Product Data from E-Commerce Sites
Extract product names, prices, descriptions, and images from e-commerce sites for analysis or catalog building.
Gather Real Estate Listing Data
Gather real estate listing data including prices, locations, and property details from listing sites.
ToolReal estate data drives investment decisions, market analysis, and property valuations. Listing sites contain a wealth of information — asking prices, property specs, neighborhood data, price history, and days on market — but accessing this data programmatically is essential for any serious analysis beyond browsing individual listings.
ToolRouter's scrape_page and extract_data skills fetch real estate listing pages and extract structured property data including price, bedrooms, bathrooms, square footage, lot size, year built, and listing description. This structured data enables quantitative analysis that would be impossible with manual browsing — price per square foot comparisons, neighborhood trend analysis, and investment opportunity scoring.
Real estate investors use this data to identify undervalued properties. Agents use it for comparative market analysis. Researchers track housing market trends. Property technology startups build their databases from public listing data. The key is turning unstructured listing pages into clean, analyzable datasets.
Agent Guides
Claude
- Connect ToolRouter to Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
- Ask Claude: "Scrape the real estate listing at example-realty.com/listing/12345 and extract property details"
- Claude fetches the page and returns structured data: price, beds, baths, sqft, and more
ChatGPT
- Configure ToolRouter in ChatGPT via MCP settings
- Ask: "Scrape the property listing at example-realty.com/listing/12345 and extract all details"
- ChatGPT extracts price, specs, description, and listing metadata
Copilot
- Add ToolRouter to your Copilot MCP configuration
- Ask Copilot: "Scrape property data from example-realty.com/listing/12345"
- Review the extracted property data in your editor
OpenClaw
- Connect ToolRouter to OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
- Ask: "Scrape property details from example-realty.com/listing/12345"
- OpenClaw extracts structured property data including all specs and pricing
Related Use Cases
Monitor Competitor Pricing Changes
Track competitor pricing changes over time to stay competitive and adjust your pricing strategy.
Scrape Job Listings for Market Research
Scrape job listings from job boards and company career pages to analyze hiring trends and market demand.
Extract Contact Information from Directories
Extract business contact information from online directories and company pages for lead generation.