Real Estate Data Scraping
Real estate investors, PropTech companies, and research teams need comprehensive property data to make informed decisions. We extract listing data, sold histories, rental rates, and neighborhood metrics from every major real estate platform.
What Data We Deliver
Platforms We Cover
+ Any other website in this category on request.
How Our Solution Helps You
Investment Analysis
Compare property values, rental yields, and market trends to identify investment opportunities.
AVM Training Data
Build or improve automated valuation models with comprehensive sold price and property attribute datasets.
New Listing Alerts
Get notified within minutes when new properties matching your criteria hit the market.
Market Reports
Automated weekly or monthly market reports for any city, zip code, or neighborhood.
Why Not Build It Yourself?
You're too big for manual data work, too small for a full in-house engineering team. Here's why 500+ businesses chose DataScraper.in instead.
Build It Yourself
Internal team or freelancer
- ✗High upfront cost
- ✗2–4 weeks to deliver
- ✗Breaks when sites update
- ✗Ongoing maintenance burden
- ✗No delivery guarantee
Off-the-shelf Tool
Apify, Octoparse, ParseHub
- ~Cheap but limited
- ~Doesn't handle anti-bot
- ~No dedicated support
- ~Generic, uncleaned output
- ~You do all the work
Data Delivered In
Frequently Asked Questions
Everything you need to know about our web scraping services.
Yes. We configure geographic filters at city, zip code, county, or custom boundary level. You can also provide a list of specific property addresses.
Yes. Sold price history is publicly available on most real estate portals and we extract the full price history including listing price, sale price, and date.
Yes. We deliver comprehensive property attribute datasets (size, age, location, features, sold price) structured for AVM training. We've supported several PropTech companies build their first AVM.
US (Zillow, Realtor, Redfin), UK (Rightmove, Zoopla), India (MagicBricks, 99acres, Housing.com), Australia (Domain, Realestate.com.au), and 20+ other markets on request.
Who Uses Real Estate Data Scraping Data?
Real projects we've delivered across industries.
PropTech Startups
AVM (Automated Valuation Models)
“A Mumbai PropTech startup feeds 2M+ daily listings into their ML valuation model, cutting analyst manual collection from 40 hours/week to zero.”
Real Estate Brokerages
Market intelligence
“A Bangalore broker monitors competitor listing prices and days-on-market across 12 micro-markets to advise sellers on optimal listing prices.”
Investment Funds
Portfolio monitoring
“A real estate fund tracks rental yield trends across 8 Indian cities to guide acquisition decisions for their residential portfolio.”
Banks & NBFCs
Collateral valuation
“A housing finance company validates property valuations by cross-referencing 5 portal listing prices before approving mortgage applications.”
Developers
Competitor analysis
“A Pune developer monitors competitor project pricing, inventory, and amenities across 15 competing projects to optimize their own launch pricing.”
Free sample dataset before payment. Quote in 2 hours.
Ready to Get Started?
Free estimate within 2 hours and a sample dataset before you commit. No long-term contracts.