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Extract property listings, pricing trends, agent contacts, and market intelligence from every major real estate portal — delivered clean, structured, and CRM-ready.
We extract a comprehensive range of real estate data fields — structured, verified, and ready to import into your CRM, database, or analytics tool.
We scrape from every major real estate portal — residential, commercial, rentals, and international markets.
From startups to enterprise real estate firms — here's how our clients put scraped data to work.
Track property price trends across cities, neighborhoods, and property types. Identify undervalued markets, monitor appreciation rates, and build predictive pricing models backed by real listing data.
Find motivated sellers, distressed properties, and off-market deals by scraping listing age, price reductions, and foreclosure data. Build high-intent prospect lists for cold outreach and direct mail campaigns.
Automatically populate your CRM with fresh listing data, agent contacts, and buyer inquiries. Keep your database current with daily or weekly automated delivery — no manual entry required.
Power your SaaS property search engine, valuation tool, or investment platform with live, structured data from 50+ portals. Get clean, normalized datasets ready for API integration and database seeding.
Scrape rental listings across Airbnb, Zillow Rentals, Apartments.com, and local portals. Analyze average rents by ZIP code, vacancy rates, and seasonal pricing patterns to make smarter investment decisions.
Track competing agencies' active listings, pricing strategies, days-on-market, and market share. Monitor your own portfolio performance and benchmark against local market conditions in real time.
Our 5-step process ensures every dataset is clean, verified, and ready to use the moment it lands in your inbox.
We structure every dataset to match your exact workflow — whether you're uploading to a CRM, feeding a database, or running it through your analytics tool.
Clean, importable spreadsheets ready for any CRM, data tool, or direct use.
Structured JSON output for developers building apps, dashboards, or databases.
Columns mapped to your exact CRM fields — Salesforce, HubSpot, Zoho, Airtable.
Daily, weekly, or monthly delivery direct to your email, Google Sheets, or FTP.
| Address | City | Price | Beds | SqFt | Agent | Status |
|---|---|---|---|---|---|---|
| 142 Oak Ave | Austin, TX | $485,000 | 4 | 2,180 | J. Wilson | Active |
| 88 Maple Dr | Miami, FL | $720,500 | 5 | 3,400 | S. Carter | Pending |
| 310 Cedar Ln | Denver, CO | $395,000 | 3 | 1,860 | A. Torres | Active |
| 27 Palm Blvd | Phoenix, AZ | $310,000 | 3 | 1,640 | M. Davis | Sold |
| 501 River Rd | Nashville, TN | $560,800 | 4 | 2,720 | R. Patel | Active |
| 19 Sunset Ct | Seattle, WA | $890,000 | 5 | 3,900 | L. Kim | Pending |
Other agencies give you generic scrapers. We build custom extractors tuned to each portal's structure — resulting in data that's cleaner, more complete, and more accurate than anything off the shelf.
Our tools use intelligent parsing to handle dynamic pages, infinite scroll, and anti-bot measures on major portals.
Every dataset is verified before delivery. We re-scrape, cross-check, and remove duplicates automatically.
Schedule recurring extractions so your database always reflects current market conditions — automatically.
We only extract publicly available data following robots.txt rules, GDPR guidelines, and applicable data laws.
Our data solutions are used by a wide range of real estate professionals and businesses worldwide.
No hidden fees. No surprises. Choose a plan that matches your project scope.
Our promises aren't just words. Every project comes with written guarantees you can hold us to.
Real results from real businesses trusting ExtractHelp with their property data needs.
Everything you need to know before placing your real estate data order.
Join 1,200+ businesses that trust ExtractHelp. Tell us what you need and we'll deliver clean, structured real estate data — fast.
Free consultation · No commitment · Data delivered in 24–72 hrs