Crex Data Scraping - Solving Accuracy and Data Consistency Issues in Cricket Analytics

Introduction

India's property portals — 99acres, MagicBricks, Housing.com, NoBroker — hold millions of active listings that together form the most detailed real-time picture of the residential and commercial market: what's for sale and rent, where, at what asking price, with what specs. For proptech products, brokers, investors and researchers, structured listing data is the raw material for pricing models, market analysis and lead intelligence. This guide covers what can be extracted and the one problem every portal-data project must solve: duplication.

What Can Be Extracted

Field Group	Fields
Property	Type (apartment/villa/plot/commercial), BHK, area (carpet/built-up), floor, age, furnishing
Pricing	Asking price, price per sq ft, rent, maintenance, negotiable flag
Location	City, locality, project/society, geo where available
Listing	Listing type (sale/rent), posted date, freshness, status
Amenities & Media	Amenities, images, description, RERA ID where cited
Lister type	Owner / builder / agent (type, not personal details)

The problem that makes or breaks the dataset: duplication. The same flat is listed on multiple portals, by multiple brokers, multiple times. Raw listing counts wildly overstate real inventory. Serious listing intelligence deduplicates — collapsing repeats of the same physical property into one record — or every "inventory" and "average price" number is wrong.

Who Uses Listing Data

1. Proptech & Portals

Power pricing tools, inventory dashboards and market-trend features; benchmark against competitor portals.

2. Brokers & Developers

Track asking prices, inventory and absorption in target localities; benchmark a project against comparable listings.

3. Investors & Funds

Locality-level price and inventory trends for investment and development decisions.

4. Researchers & Data Journalists

Housing-market panels for studies on prices, supply and affordability.

Note on RERA: listing data (asking prices, live inventory) complements RERA registration data (regulatory truth on projects and promoters). Together they give both the market's asking side and the regulator's verified side. Many clients use both.

How Actowiz Delivers It

Multi-portal extraction — 99acres, MagicBricks, Housing, NoBroker and others in one schema.
Cross-portal deduplication — repeats of the same physical property collapsed, so counts and averages are real.
Locality normalization — consistent locality/project naming across portals for clean aggregation.
Freshness & trend — posted dates and refreshes to track new inventory and price movement.
Responsible scope — property and listing attributes and lister type; we don't harvest brokers' personal contact data at scale.

Real-World Example: A Deduplicated Locality Price Panel

A proptech team needed asking-price and inventory data across several cities' localities from multiple portals, deduplicated, to power a pricing feature. Actowiz extracted listings across portals, collapsed duplicate postings of the same property, normalized localities, and delivered a clean per-locality price-and-inventory panel — turning inflated raw counts into numbers the team could actually publish.

"Before dedup, our 'inventory' was triple the real number because every flat was listed five times. Deduplication is the entire difference between a usable dataset and a misleading one."

— Product Lead, proptech platform (name withheld)

Get a Free Listing Data Sample

Tell us your portals, cities and localities. We'll return a free deduplicated sample so you can see the structure and quality.

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Is Listing Data Extraction Compliant?

Actowiz collects publicly displayed property-listing attributes and lister type — not brokers' or owners' personal contact details harvested at scale. Collection follows our responsible-scraping framework, and we scope carefully to stay on the property-data side of the line.

Frequently Asked Questions

How do you handle duplicate listings?

Cross-portal and within-portal deduplication collapses repeats of the same physical property into one record, so inventory counts and average prices reflect reality.

Which portals do you cover?

99acres, MagicBricks, Housing.com, NoBroker and others, normalized into one schema.

Do you collect broker phone numbers?

No — we capture lister type (owner/builder/agent) and property attributes, not personal contact details harvested at scale. That keeps the dataset on the right side of privacy.

Can this combine with RERA data?

Yes — many clients pair listing data (asking side) with RERA registration data (regulatory side) for a complete market view.

Real Inventory, Real Prices — Deduplicated

Property-listing intelligence across every major Indian portal.

Conclusion

You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

Hear It Directly from Our Clients

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

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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.

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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

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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."

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-Fin, Small Business Owner