Introduction

Actowiz analyzed 200,000+ listings across MagicBricks, 99acres, and Housing.com in 8 Indian cities. Findings: the same property appeared on multiple portals with asking-price differences in 32% of matched cases (median gap ₹X lakh / Y%); duplicate and stale listings inflated raw inventory counts by 32%; and portal coverage skews sharply by city — no single portal gives a complete market picture anywhere.

The Problem With Reading One Portal

India's property portals are marketing channels, not registries. Brokers cross-post with different prices, listings outlive actual availability, and each portal's broker network skews coverage by city and segment. Anyone using portal data — buyers, proptechs, lenders, researchers — needs to know how big these distortions are. We measured them.

Methodology

ParameterCoveragePortalsMagicBricks, 99acres, Housing.comCitiesMumbai, Delhi NCR, Bengaluru, Pune, Hyderabad, Chennai, Ahmedabad, KolkataListings analyzed200,000+ (resale + rental)MatchingProject + tower/locality + configuration + area-band entity resolutionWindow60 days, weekly snapshotsFieldsAsking price, area, configuration, project, lister type, posting/refresh dates, photo count, RERA tag

Parameter	Coverage
Portals	MagicBricks, 99acres, Housing.com
Cities	Mumbai, Delhi NCR, Bengaluru, Pune, Hyderabad, Chennai, Ahmedabad, Kolkata
Listings analyzed	200,000+ (resale + rental)
Matching	Project + tower/locality + configuration + area-band entity resolution
Window	60 days, weekly snapshots
Fields	Asking price, area, configuration, project, lister type, posting/refresh dates, photo count, RERA tag

Finding 1: Same Property, Different Price

Among cross-portal matched listings, 48% showed asking-price differences — typically the same broker anchoring differently per portal audience. Gaps ran widest in Mumbai resale (median 22%). For valuation models, this is noise that must be reconciled; for buyers' products, it's a feature worth surfacing.

Finding 2: Inventory Inflation — Duplicates & Stale Listings

Within-portal duplicates (same unit, multiple brokers): 42% of raw listings.
Stale listings (no refresh in 45+ days): 24%, concentrated in rental segments.
Net effect: raw counts overstate true available inventory by ~X% — any supply analysis on unclean portal data inherits this inflation.

Finding 3: Coverage Is City-Skewed

City	Strongest portal (listings share)
Mumbai	portal, X%
Bengaluru	portal, X%
Delhi NCR	portal, X%

Broker-network strength drives this — meaning multi-portal aggregation isn't optional for full-market coverage, it's the method.

The RERA Cross-Check

Joining listings to our state RERA datasets exposes the gap between advertised and registered reality: 38% of new-project listings carried RERA tags; 22% of those tags failed validation against the registry. For lenders and compliance teams, that join is the diligence product.

What Teams Do With This Data

Proptech & brokerages: deduplicated, multi-portal listing feeds with price-reconciliation fields.
Lenders & valuers: asking-price distributions by micro-market, cleaned of duplicates and stale stock.
Investors & researchers: supply and pricing trend series with documented cleaning methodology.

FAQs

How do you match the same property across portals?

Entity resolution on project + tower/locality + configuration + area band + lister fingerprints. Conservative thresholds mean reported cross-portal gaps come from high-confidence matches only.

How do you detect stale listings?

Refresh-date tracking plus content-change detection across weekly snapshots: listings with no movement past a threshold are flagged stale, with the threshold configurable per use case.

Can I get deduplicated inventory counts by locality?

Yes — cleaned supply series by micro-market are a standard deliverable, alongside the raw data and the dedup mapping for auditability.

Does this integrate with RERA data?

Yes — listings join to our state-wise RERA datasets for registration validation, promoter history, and advertised-vs-registered analysis.

Real Results from Real Clients

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

▶

1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

▶

2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

▶

1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner

4.8/5 Average Rating

50+ Video Testimonials

92% Client Retention

50+ Countries Served

Why Global Leaders Trust Actowiz

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.