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Real Estate Data Intelligence Services

Diya Infotech’s Real Estate Data Intelligence solutions help businesses analyze property prices, demand trends, location dynamics, and market performance across residential and commercial real estate. We convert large-scale real estate data into actionable insights that support smarter investment, pricing, and planning decisions.

  • Monitor property prices, listings, and availability
  • Analyze demand trends by location and property type
  • Track competitor listings and market movement
  • Support pricing, valuation, and investment strategies
  • Deliver structured, analysis-ready real estate datasets
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What Is Real Estate Data Intelligence?

Real Estate Data Intelligence is the process of collecting and analyzing property data to understand pricing trends, demand patterns, and market performance.

It combines data from property listings, real estate portals, public records, and market sources to provide insights into prices, availability, location dynamics, and property types. By structuring this information, businesses gain a clear view of how real estate markets evolve across regions.

Real Estate Data Intelligence supports smarter decisions for investment, pricing, valuation, and planning. With accurate, up-to-date insights, developers, investors, and agencies can reduce risk, identify opportunities, and respond effectively to changing market conditions.

WHY CHOOSE US

What Sets Us Apart

Accuracy

Delivers clean, reliable data you can trust every time.

Scalability

Handles any data volume smoothly without slowdown.

Global Reach

Captures insights from markets across the world.

Real-Time APIs

Provides instant, up-to-date data on demand.

Compliance First

Ensures all data practices meet global standards.

Dedicated Support

Project-based dedicated support 24*7.

Real Estate Data Intelligence Capabilities

Property Price Tracking

Monitor property prices across residential and commercial listings to understand market trends and price movements.

Listing & Availability Monitoring

Track active, sold, and rental listings to analyze supply levels and market activity.

Location-Based Analysis

Analyze property performance by city, neighborhood, and micro-market to identify high-potential areas.

Demand & Trend Analysis

Identify demand patterns, seasonal trends, and market shifts across property types and regions.

Competitor & Market Benchmarking

Compare property prices, features, and listings against competitors and market averages.

Data Delivery & Integration

Deliver clean, structured real estate data via APIs, dashboards, or downloadable formats for seamless analysis.

Benefits of Real Estate Data Intelligence

01

Accurate Market Visibility

Gain clear insights into property prices, demand patterns, and market trends across locations.

02

Smarter Investment Decisions

Identify high-potential properties and markets using data-driven analysis.

03

Improved Pricing Strategies

Set competitive and realistic property prices based on market and location insights.

04

Better Demand Forecasting

Anticipate demand shifts and seasonal trends to plan listings and inventory effectively.

05

Reduced Market Risk

Minimize investment and planning risks with reliable, up-to-date real estate data.

06

Data-Driven Planning

Support valuation, development, and expansion decisions using structured market intelligence.

Use Cases for Real Estate Data Intelligence

Price Tracking

Monitor property prices across listings and platforms to understand market movements and pricing trends.

  • Track price changes over time
  • Compare prices across property types
  • Identify over- or underpriced listings
  • Support accurate pricing decisions

Demand Forecasting

Predict future demand for properties using historical and current market data.

  • Analyze buyer and renter demand
  • Identify high-demand locations
  • Anticipate market shifts
  • Improve inventory planning

Competitor Analysis

Compare property listings against competitors to understand market positioning.

  • Benchmark prices and features
  • Track competitor listings
  • Identify competitive gaps
  • Improve listing strategies

Location Valuation

Assess property value based on location-specific market and demand insights.

  • Analyze neighborhood performance
  • Compare micro-market pricing
  • Identify high-value locations
  • Support accurate valuation

Investment Planning

Support real estate investment decisions using market-driven intelligence.

  • Identify high-return opportunities
  • Analyze risk and demand factors
  • Compare investment locations
  • Improve long-term investment outcomes

Popular Brands Data Extraction

Ecommerce
  • Amazon
  • Lazada
  • eBay
  • Shopee
  • AliExpress
  • Costco
  • Lowes
  • Target
  • Walmart
  • Sears
Travel
  • GoogleTrips
  • Agoda
  • TripAdvisor
  • Kayak
  • Trivago
  • Priceline
  • Expedia
  • TripIt
  • MakeMyTrip
  • Hopper
Grocery
  • Instacart
  • Safeway
  • BigBasket
  • Ocado
  • Costco
  • Amazon
  • Kroger
  • GoPuff
  • Instashop
  • Walmart
Food Delivery
  • Doordash
  • Swiggy
  • Deliveroo
  • Wolt
  • Uber Eats
  • Glovo
  • Zomato
  • Foodpanda
  • Justeat
  • Grubhub
OTT Platforms
  • Netflix
  • Hotstar
  • Disney+
  • Hulu
  • Apple Tv
  • Amazon Prime
  • Sky
  • Pluto Tv
  • Dazn
  • Discovery
Social Media
  • LinkedIn
  • FB/Insta
  • YouTube
  • TikTok
  • WeChat
  • X/Twitter
  • Reddit
  • Snapchat
  • Pinterest
  • Quora
Hotel
  • Airbnb
  • Booking.com
  • Ctrip
  • MakeMyTrip
  • Trivago
  • TripAdvisor
  • Expedia
  • Agoda
  • Priceline
  • Google Travel
Recruitment
  • Amazon Jobs
  • Indeed
  • Usajobs
  • Glassdoor
  • Ziprecrutier
  • Monster
  • Dice
  • Roberthalf
  • Snagajob
  • Simplyhired
Dating
  • Tinder
  • Salt
  • Her
  • Eharmony
  • Badoo
  • Bumble
  • Okcupid
  • Hinge
  • SilverSingles
  • Match.com
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Frequently Asked Questions

What is Real Estate Data Intelligence?

Real Estate Data Intelligence is the process of collecting and analyzing property data to understand pricing trends, demand patterns, and market behavior.

How does Real Estate Data Intelligence help real estate businesses?

It helps developers, brokers, and investors make informed decisions on pricing, valuation, investment, and market planning.

What data sources are used for Real Estate Data Intelligence?

Data is collected from property listings, real estate portals, public records, and other reliable market sources.

Can Real Estate Data Intelligence support property valuation?

Yes. It provides insights into comparable prices, location performance, and demand trends to support accurate property valuation.

Is Real Estate Data Intelligence scalable for large property datasets?

Absolutely. Solutions are designed to handle thousands to millions of property listings across multiple regions.

How is real estate data delivered?

Data is delivered via APIs, dashboards, or structured formats such as CSV, JSON, or Excel.

Can Real Estate Data Intelligence support investment planning?

Yes. Market trends, demand insights, and location-based analysis help reduce risk and identify high-return investment opportunities.

Is the data secure and compliant?

Yes. All data collection and processing follow ethical, secure, and compliant practices.

WHAT WE OFFER

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Get In Touch

We are your preferred data services partner. Our commitment to your success begins when you fill up this form and send it to us.

    What's Next ?

    You have made the right choice by connecting with us for your data extraction requirements. The below process how to get started.

    1

    Requirement Gathering

    We work closely with clients to ascertain business goals, technical requirements, systems that meet business standards. We then use this information to make the precise scope for effective data solutions.

    2

    Technical Document Preparation & Quote

    We prepare a full technical document outlining deliverables, between which times, what technologies are needed. Sending this to clients for review offers peace of mind and helps assure good results.

    3

    SLAs and Agreement

    We outline the scope, deliverables and system standards on the project. This helps align expectations and ensure that the partnership drives data outcomes.

    4

    Project Starts

    Our team defines milestones and workflows. We use clear language to ensure that implementation runs smoothly and deliverables are completed on time as expected.