Real Estate Data Scraping In India, built for India's property economy
Property listings, prices, floor plans, agent details, project amenities and locality data pulled from every major Indian real estate platform structured, deduplicated, and delivered on a schedule you set.
Real Estate Industry Overview In India
India's property market is one of the fastest-digitising sectors in the country and one of the hardest to track by hand. Here's the landscape our pipelines are built for.
Across a handful of dominant listing portals, a fast-growing broker-tech layer, direct developer microsites, and thousands of independent agencies, property data in India shifts constantly new projects launch every week, prices get revised by locality, and inventory status changes daily. Manual tracking cannot keep pace at this scale, which is exactly why data teams, developers, and investment analysts rely on real estate data scraping in India instead of static spreadsheets.
Our Real Estate Data Scraping Services
Our real estate data scraping in India covers the full property data stack from raw extraction to analytics-ready delivery.
Property Listing Data Extraction
Project name, configuration, address, possession status, and listing type across every property portal in a city.
Price & Valuation Scraping
Asking price, price-per-square-foot, and valuation bands, refreshed on the schedule you set.
Agent & Broker Data Monitoring
Agent names, contact details, active listing counts, and response ratings across platforms.
Reviews & Ratings Extraction
Project ratings, review text, builder sentiment tags, and rating trend history per listing.
Images & Floor Plan Scraping
Property photographs, floor plan diagrams, virtual tour links, and brochure attachments.
Locality & Geo Mapping
Geo-coordinates, project density, amenity proximity, and locality-level demand mapping.
Leading Real Estate Delivery Platforms We Scrape
Listing portals, broker-tech marketplaces, and direct-from-builder inventory systems.
Coverage is built and maintained per client requirement, in line with each platform's public data and applicable terms of use.
Property Listing Data Extraction
A complete, deduplicated property master list per city the foundation layer every downstream analysis depends on.
- Project name, builder, configuration, and price band
- Possession status and ready-to-move flag
- Cross-platform ID matching to remove duplicate listings
{
"property_id": "WDC-DEL-07214",
"name": "DLF Skyline Residency",
"platform": "99acres",
"city": "New Delhi",
"locality": "Dwarka Sector 21",
"configuration": ["2 BHK", "3 BHK"],
"area_sqft": 1250,
"price_lakh": 92,
"status": "ready-to-move",
"last_scraped": "2026-07-10T09:12:00Z"
}
Real Estate Price & Offer Monitoring
Track how listed prices and builder offers move across platforms and launch phases, down to the scheme level.
- Launch price vs. current quoted price
- Active builder offers, festive discounts, and payment schemes
- Historical price change logs for trend analysis
| Project | Platform | Base ₹ | Offer |
|---|---|---|---|
| Lodha Amara | Housing.com | 85 L | No Cost EMI |
| Brigade Cornerstone | MagicBricks | 1.2 Cr | Flat ₹2L Off |
| Shriram Grand City | 99acres | 62 L | Waived Registration |
| Sattva Group Homes | Square Yards | 95 L |
Real Estate Reviews & Ratings Data Extraction
Structured review capture with rating history, so you can spot builder quality drift before it shows up in resale value.
- Overall rating and construction-quality sub-ratings
- Review text with date and buyer verification tier
- Rating trend tracked over rolling 30/90-day windows
{
"property_id": "WDC-HYD-02245",
"rating_overall": 4.2,
"rating_construction": 4.0,
"review_count_30d": 184,
"rating_trend_90d": "+0.1",
"top_tags": ["good ventilation", "timely possession"]
}
Agent & Broker Intelligence
Understand broker activity and lead responsiveness at the agent and locality level.
- Agent contact details and verification badge
- Active listing count and average response time
- Agency affiliation and locality of operation
| Locality | Response Time | Listings | Verified |
|---|---|---|---|
| Koregaon Park | 12–20 min | 48 | Yes |
| Baner | 25–40 min | 62 | Yes |
| Viman Nagar | 10–18 min | 35 | No |
Property Location & Project Data
Geo-tagged project data for footprint mapping, whitespace analysis, and competitor density studies.
- Latitude/longitude and full postal address
- Project type: apartment, villa, plot, or commercial
- Builder-wise project counts per city and locality
| Builder | City | Projects | Type |
|---|---|---|---|
| Casagrand | Chennai | 18 | Apartment |
| Radiance Realty | Chennai | 11 | Villa |
| Alliance Group | Chennai | 9 | Plot |
Real Estate Data Fields We Extract
A standard field set that most engagements start from extended per client on request.
Sample Property Dataset
A preview of the raw fields our crawlers pull from real estate platforms across Indian cities this is a 10-row sample from a live dataset refreshed daily.
| # | Property | Type | City Area | Rating | Status | Platforms | Price | Config | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 01 | Oberoi Sky City | Apartment | Mumbai Borivali | ★ 4.5 | Under Construction | 99AMBK | 2.1 Cr | 3 BHK | 2026-07-10 05:40 |
| 02 | Casagrand Utopia | Apartment | Chennai OMR | ★ 4.3 | Ready To Move | 99AHSGSQY | 68 L | 2 BHK | 2026-07-10 05:55 |
| 03 | DLF Capital Greens | Apartment | Delhi Karol Bagh | ★ 4.6 | Ready To Move | 99AMBK | 1.3 Cr | 3 BHK | 2026-07-10 06:02 |
| 04 | Kolte Patil Life Republic | Villa | Pune Hinjewadi | ★ 4.2 | Under Construction | HSGNBR | 1.8 Cr | 4 BHK | 2026-07-10 05:48 |
| 05 | Sobha Windsor | Apartment | Mumbai Thane | ★ 4.1 | Ready To Move | 99A | 95 L | 2 BHK | 2026-07-10 06:07 |
| 06 | Prestige Falcon City | Apartment | Bengaluru Kanakapura Road | ★ 4.5 | Ready To Move | 99AMBKSQY | 1.6 Cr | 3 BHK | 2026-07-10 05:33 |
| 07 | Godrej Garden City | Apartment | Ahmedabad SG Highway | ★ 4.4 | Ready To Move | 99AMBK | 72 L | 2 BHK | 2026-07-10 06:15 |
| 08 | Merlin Rise | Apartment | Kolkata New Town | ★ 4.6 | Under Construction | 99AHSGMBK | 1.1 Cr | 3 BHK | 2026-07-10 05:59 |
| 09 | Mahindra Roots | Plot | Jaipur Ajmer Road | ★ 4.3 | Ready To Move | HSG | 45 L | 2400 sqft | 2026-07-10 05:21 |
| 10 | My Home Bhooja | Apartment | Hyderabad Gachibowli | ★ 4.4 | Ready To Move | 99AMBKSQY | 1.5 Cr | 3 BHK | 2026-07-10 06:20 |
🇮🇳 Sample records live India real estate data API returns full datasets with all scraped fields across 480 cities
Access Full Dataset →Real Estate Industry Use Cases
How teams put this data to work once it lands in their warehouse.
Competitive price benchmarking
Compare pricing across your projects vs. competing builders, locality by locality.
Site selection & land acquisition
Identify underserved localities using project density and demand data.
Dynamic listing optimisation
Spot high-performing configurations and pricing gaps across your inventory.
Portal commission analysis
Reconcile listed prices against lead payouts across platforms.
Builder reputation monitoring
Track rating drift and review sentiment across projects in near real time.
Market-entry research
Size a city's real estate market before committing to expansion.
Industries We Serve
Real Estate Developers
Property Portals & Aggregators
Real Estate Brokers & Agencies
PropTech Startups
Market Research Firms
Investors & PE / VC Analysts
Home Loan & Mortgage Providers
Consulting & Advisory Firms
Benefits Of Real Estate Data Scraping
What structured, always-fresh property data actually changes for your team.
Faster decisions
Skip manual audits pricing and listing changes land in your pipeline within hours.
City-wide coverage
See every project in a market, not just the ones your team can manually check.
Historical trendlines
Price, rating, and offer history that spreadsheets can't reconstruct after the fact.
Clean, deduped data
One property record per listing, matched across platforms no duplicate noise.
Analyst hours saved
Redeploy research time from data collection to actual analysis and strategy.
API-ready delivery
Plug data directly into your BI tools, dashboards, or internal systems.
Our Real Estate Data Collection Process
A coded, repeatable system built to scale across hundreds of cities and thousands of listings without dropping a single record.
Scope & target mapping
We confirm platforms, cities, and the exact field set your use case needs.
Pipeline build
Custom crawlers and parsers are built per platform, respecting each site's structure and terms.
Scheduled extraction
Data is pulled on the cadence you need hourly, daily, or weekly.
Cleaning & deduplication
Records are normalised, cross-platform matched, and validated before delivery.
QA & anomaly checks
Automated checks flag missing fields, price outliers, and stale listings.
Delivery & handoff
Final data lands in your chosen format or API endpoint, on schedule.
Data Delivery Formats & API Integration
Take the data however your stack consumes it.
CSV / Excel
Ready for spreadsheets and BI tools.
JSON
Nested, structured records for apps.
REST API
Query live data on demand.
Database push
Direct delivery into your warehouse.
{
"count": 6140,
"page": 1,
"results": [ "..." ],
"updated": "2026-07-10T06:00:00Z"
}
Cities Covered Across India
Metro-first coverage that extends into tier-2 and tier-3 markets as property portals expand.
Frequently Asked Questions
We collect publicly available data and structure our pipelines around each platform's public listings and applicable terms. We recommend clients review their own use case with legal counsel, especially for redistribution.
Refresh cadence is set per engagement commonly hourly for pricing/offers, daily for listings, and weekly for agent/location data.
Yes we build custom field mapping per client rather than delivering a fixed template. Share your schema and we'll scope accordingly.
CSV, Excel, JSON, direct database push, or REST API access whichever fits your existing stack.
Yes, coverage extends beyond the eight metros into tier-2 and tier-3 markets, scoped on request based on platform availability.
Fill in the form below with your city and platform of interest we'll share a free structured sample dataset within one business day.
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