Real-estate datasets are ready-to-license property data — listings, prices, area, location, property type and status — collected across property portals and geocoded. iWeb Data Scraping delivers them structured and map-ready, so proptech products, investors and researchers can work with current property-market data without building portal collection themselves.
Property data is fragmented across portals and constantly changing. Our real-estate datasets give you a structured, geocoded slice ready to use: listings with prices, area, location and status, delivered map-ready.
License a snapshot or subscribe for refreshed listings with change tracking. For continuous, custom portal coverage, see real estate data scraping.
One vertical, every platform that matters in it — matched into a single feed your team actually uses.
Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.
| listing_id | type | locality | city | price | area_sqft | bhk |
|---|---|---|---|---|---|---|
| R2201 | apartment | Powai | Mumbai | 2.8 Cr | 980 | 2 |
| R2202 | apartment | Koramangala | Bengaluru | 1.9 Cr | 1100 | 3 |
| R2203 | villa | Jubilee Hills | Hyderabad | 6.5 Cr | 3200 | 4 |
| R2204 | plot | Wakad | Pune | 85 L | 1500 | - |
[
{
"listing_id": "R2201",
"type": "apartment",
"locality": "Powai",
"city": "Mumbai",
"price": "2.8 Cr",
"area_sqft": "980",
"bhk": "2"
},
{
"listing_id": "R2202",
"type": "apartment",
"locality": "Koramangala",
"city": "Bengaluru",
"price": "1.9 Cr",
"area_sqft": "1100",
"bhk": "3"
},
{
"listing_id": "R2203",
"type": "villa",
"locality": "Jubilee Hills",
"city": "Hyderabad",
"price": "6.5 Cr",
"area_sqft": "3200",
"bhk": "4"
},
{
"listing_id": "R2204",
"type": "plot",
"locality": "Wakad",
"city": "Pune",
"price": "85 L",
"area_sqft": "1500",
"bhk": "-"
}
]
Structured, geocoded listings behind search or valuation products.
Pricing, inventory and days-on-market by locality, ready to analyze.
Listing and price data across areas and property types.
Listing prices, area/sqft, locality and city, property type, BHK/bedrooms, amenities, agent/seller, status, geo-coordinates, days on market, image URLs and listing dates — structured and map-ready across property portals.
Yes — listings include geo-coordinates and are delivered in map-ready formats (including GeoJSON on request), so they drop directly into GIS, mapping and proptech tools.
Datasets are timestamped, and subscriptions deliver refreshed listings with change tracking (price drops, status changes, new listings), so you work with current data rather than a stale snapshot.
Major portals like 99acres, MagicBricks, Housing.com in India and Zillow, Rightmove internationally, scoped to your markets. For full-portal custom coverage, our real estate data scraping service uses enterprise crawling.