Real estate data scraping extracts property listings from portals — prices, area, location, property type, BHK/beds, amenities, agent/seller and listing status — delivered QA-verified as CSV, JSON or API. iWeb Data Scraping helps proptech products, investors and researchers track property markets at scale, where listings change constantly and no single portal has complete coverage.
Real estate data is fragmented across portals, changes constantly (price drops, status changes, new listings), and is essential for anyone valuing property, building proptech, or researching markets. Manual tracking captures a snapshot; structured scraping captures the living market — every listing, refreshed, with price and status history.
We extract listings across property portals with location, pricing, attributes and status, plus change tracking (price drops, delistings) that reveals market dynamics. Delivered geo-ready via our managed pipeline and enterprise crawling for full-portal coverage.
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 | status |
|---|---|---|---|---|---|---|---|
| L88421 | apartment | Bandra West | Mumbai | 4.2 Cr | 1150 | 3 | active |
| L88422 | apartment | Andheri East | Mumbai | 1.8 Cr | 720 | 2 | active |
| L88423 | villa | Whitefield | Bengaluru | 3.5 Cr | 2400 | 4 | under_offer |
| L88424 | plot | Gachibowli | Hyderabad | 95 L | 1800 | - | active |
[
{
"listing_id": "L88421",
"type": "apartment",
"locality": "Bandra West",
"city": "Mumbai",
"price": "4.2 Cr",
"area_sqft": "1150",
"bhk": "3",
"status": "active"
},
{
"listing_id": "L88422",
"type": "apartment",
"locality": "Andheri East",
"city": "Mumbai",
"price": "1.8 Cr",
"area_sqft": "720",
"bhk": "2",
"status": "active"
},
{
"listing_id": "L88423",
"type": "villa",
"locality": "Whitefield",
"city": "Bengaluru",
"price": "3.5 Cr",
"area_sqft": "2400",
"bhk": "4",
"status": "under_offer"
},
{
"listing_id": "L88424",
"type": "plot",
"locality": "Gachibowli",
"city": "Hyderabad",
"price": "95 L",
"area_sqft": "1800",
"bhk": "-",
"status": "active"
}
]
Structured, current listings across portals behind your search or valuation product.
Pricing, inventory and days-on-market trends by locality for investment decisions.
New listings, price movements and inventory by area over time.
Listing prices, area/sqft, location and locality, property type, BHK/bedrooms, amenities, agent/seller, listing status, price changes, days on market, images and geo-coordinates — across property portals, with change tracking that captures price drops and delistings over time.
Major portals like 99acres, MagicBricks, Housing.com in India, Zillow, Realtor.com, Rightmove internationally, plus regional and niche portals and agent sites. Coverage is scoped to your markets, and enterprise crawling provides full-portal completeness where needed.
Yes — change tracking is central to real estate data. We capture price drops, status changes (active, under-offer, sold) and new listings across refreshes, and can retain point-in-time history so you see market dynamics, not just a current snapshot.
Yes — listings include location and geo-coordinates, delivered in formats (including GeoJSON on request) that drop into GIS and mapping tools. This suits proptech search, investment heat-mapping and market-research visualization.