India's real estate market is one of the world's largest — and one of the most data-fragmented. MagicBricks, 99acres, and Housing.com collectively hold most online property listings, but the data is messy, broker-driven, and full of duplicates. For PropTech founders, real-estate investors, and analytics platforms, extracting and cleaning this data is foundational. This guide covers how to do it properly in 2026.
MagicBricks, 99acres, and Housing.com have overlapping but distinct listing coverage. The same property is often listed on all three by different brokers, with different photos, descriptions, and even asking prices. Investors who only see one portal miss inventory and have no way to verify pricing. Comprehensive Indian property intelligence requires all three.
| Field | Why It Matters |
|---|---|
| Locality + micro-locality | Geographic clustering |
| Property type (BHK config) | Comparability |
| Carpet area / built-up area | True size comparison |
| Asking price | Primary signal |
| Price per sqft | Comparability metric |
| Rental rate (if let) | Yield calculation |
| Ready vs under-construction | Investment structure |
| RERA registration number | Compliance verification |
| Possession date | Capital timeline |
| Builder / developer | Track record evaluation |
| Broker vs owner listing | Credibility signal |
Indian property listings are dominated by brokers, not owners — and the same property gets listed by multiple brokers across all three portals. A single 3BHK flat in Whitefield, Bengaluru might appear 8-12 times across MagicBricks, 99acres, and Housing.com. Deduplication is essential and hard. The approach: address and project-name normalisation, carpet-area matching, photo-hash similarity, and price-range clustering. Done well, this achieves 95-97% deduplication accuracy.
The Real Estate (Regulation and Development) Act — RERA — requires registration of property projects with state RERA authorities. RERA registration numbers, project timelines, and builder track records are publicly available via state RERA portals. Cross-referencing portal listings with RERA data adds a crucial compliance and credibility layer — particularly important for under-construction projects.
Indian property pricing varies dramatically by micro-locality. Within Bengaluru's Whitefield, prices differ between ITPL-adjacent areas, Varthur Road, and Hoodi. Production intelligence aggregates pricing at micro-locality level — far more granular than city or even locality level — because that's the granularity at which investment decisions are actually made.
Under-construction and new-launch projects require special handling. Key data: RERA registration, possession date (promised vs likely), construction-linked payment plans, builder's historical delivery record, and current construction stage. This data is scattered across portal listings, builder websites, and RERA portals — aggregating it produces investor-grade project intelligence.
MagicBricks, 99acres, and Housing.com have moderate anti-bot defences. Production scraping requires India-region residential proxies, browser automation, session persistence, and respectful rate-limiting. Realistic sustained throughput: 80-120 listing pages per minute per IP cluster.
Public property listings on Indian portals are widely scraped, and public-data scraping is generally permissible under Indian law when conducted responsibly. The DPDP Act 2023 governs personal data — relevant when scraping broker contact details. Portal Terms of Service prohibit scraping; for commercial use cases, work with a vendor that maintains compliance discipline.
MagicBricks and 99acres have partner APIs for brokers and developers, but not for general investor or analytics use. Scraping remains the standard approach.
New listings appear within hours; price changes within hours-to-days; status changes (sold, rented) within 1-3 days.
Yes — state RERA portals, and in some states, sub-registrar transaction data, can be combined with portal listings for comprehensive Indian property intelligence.
Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Watch how businesses like yours are using Actowiz data to drive growth.
From Zomato to Expedia — see why global leaders trust us with their data.
Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.
We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.
Boots Healthcare Products Data Extraction delivers product, pricing, inventory, and promotion insights to support smarter healthcare retail decisions.
Amazon Seller Central Data Analytics helps brands optimize pricing, inventory, advertising, and marketplace performance with data insights.
No Frills Supermarket Data Scraping delivers real-time product, pricing, inventory, and promotion insights to support retail analytics and smarter decisions.
Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.