Real-time, structured property intelligence for portals, developers, brokerages and investors. Delivered cleanly, ethically and at scale.
Data Scraping for The Real Estate Industry

Real Estate Data Scraping to Close Property Deals
The real estate space moves fast. New listings are posted almost daily. Also, prices and inventory shift rapidly from market to market. If you don’t have the latest data, you risk losing the pulse of the market. With data extraction and web scraping, you benefit immensely on key aspects like new listing, rentals, neighborhood signals, and county-level updates.
Overview
We extract real estate data from public and partner-approved sources, normalize and deliver it in whatever formats you need—be they APIs or dashboards. Our pipelines de-duplicate, enrich and continuously monitor sources. As a result, your teams can price accurately, spot demand pockets, benchmark competitors, forecast revenue.
With the incredible versatility and diversity of the data points, real estate analysis can be very time-consuming. Service companies extracting real estate data provide you with decisive decision-making power at just one point – real estate data extraction! From portal pricing and tenant sentiments to locality-wise insights, you can get all of this.
When you want clean, structured data form many sources, Diya Infotech is the name to trust. Present the hottest listings in any given area. Explain market trends to potential buyers and gain their trust with detailed insights supplied by our data extraction and web research services.
Top-Tier Real Estate Decisions Enabled by Data
Real Estate is a highly competitive space. You need to have the latest news and numbers on hand to be impactful. Our scraping tools give you easy-to-use, actionable data that really makes a difference.
Property Listings & Price Intelligence
You can now track supply and pricing across portals and builder sites to react faster and set price points smarter.
- Collect listing metadata (price, carpet/built-up area, BHK/unit mix, status)
- Capture media pointers (photos, videos, 3D tours, floor plans) and key amenities
- Monitor DOM (days on market), price revisions, and withdrawn/expired listings
- De-duplicate cross-posted listings; reconcile broker vs builder inventory
- Set alerts for new launches, price drops, and rare configurations


Rental Market Analysis
Serving the unique needs of landlords and tenants is a specific factor of real estate data extraction services. Use it to understand rent levels, absorption, and occupancy trends for long-term and short-term rentals.
- Track asking rent, furnished status, deposit norms, and lease terms
- Parse host/property info like pet policies, utilities, and fees
- Extract reviews and ratings to see sentiment shifts by locality
- Identify seasonality and optimize pricing/availability windows
Builder and Competitor Monitoring
Compare unit mix, phase launches, offers, and payment plans to benchmark offerings across developers and micro-markets.
- Track marketing campaigns
- Monitor channel partner activity
- Map amenity stacks to determine differentiation gaps across various projects.
- Custom data solutions and bulk data extractions for a competitive edge.


New Launch, Pre-Sale & Inventory Watch
Stay ahead of the pre-launch buzz and update your listing to present the latest offerings by various builders in a specific location.
- Capture teaser pages and early-bird registrations.
- Monitor stack plans, tower-wise inventory.
- Build and monitor interest on microsites with latest data.
- Obtain sold/hold statuses for near real-time listing adjustments.
Commercial Real Estate (Office, Retail, Industrial)
You now have the ability to spot demand gaps and tenant turnover for commercial establishments (both rental and sale)
- Extract listings and availability by grade and micro-market.
- Monitor quoted rent, fit-out conditions and fixed-term contracts.
- Monitor anchor tenant announcements and pre-commitments.

Other Industries
Frequently Asked Questions
Is real estate data scraping legal and compliant?
Our practices are in compliance with the law. We adhere to robots.txt files, terms and laws. Partner or licensed sources are used where necessary; private data is accessed only with permission.
What update frequency do you offer?
Diya Infotech offers a daily scheduled update or near real-time monitoring and alerts based on source behaviour and your needs.
Can you capture images, floor plans, and amenities?
Yes. We extract media pointers, parse captions, and run OCR on plans to convert layouts and features into structured attributes.
For duplicates across portal/brokers, how do you avoid this?
We merge duplicates with different entity resolution (for e.g. address, geo, or specifications). This way, we maintain a single source of truth for your data and insights need.
Which parts of the world do you cover?
Geographical coverage is global for public or partner-approved sources. You can specify what cities or micro-markets are most important to you and we will target those.
In what formats do you provide the data?
We can share CSV/JSON files, push APIs, or secure cloud deliveries. We can also help with KPI-driven dashboards with statistics like price per sq. ft., absorption and DOM.
Do you track competitor launches and offers as well?
Yes, we cover aspects like new listings/ phases, price bands, payment schedules and promotions, with alerts for significant changes.
Data Extraction Tools
Amazon
Scrape data like Product names, prices, descriptions, images, ASIN, ratings, review count, product availability, and seller information.
Walmart
Scrape data like Product titles, prices, images, customer reviews, ratings, product specifications, and availability.
Ebay
Scrape data like Listing title, item price, shipping cost, item condition, seller ratings and profile, product images, and item specifics.
Zomato
Scrape data like Restaurant names, addresses, contact details, menu items, prices, user ratings, reviews, cuisine type, and opening hours.
Swiggy
Scrape data like Restaurant names, locations, menu items, prices, discounts and offers, ratings, and estimated delivery times.
DoorDash
Scrape data like Restaurant names, addresses, cuisine types, menu items, prices, delivery fees, customer ratings, and reviews.
Scrape Smarter, Act Faster with Data You can Trust
Accelerate growth with our competencies in extracting high value structured data from the web. Our team at Diya Infotech does it securely and with absolute accuracy.