DATA SOLUTION
Turn Property Listings Into Structured Real Estate Data.
Collect and structure property listings, projects, pricing, locations, developers, and real estate market data.
THE CHALLENGE
Getting reliable real estate data from the web is harder than it looks.
Scattered listings
Property information is spread across portals, developer sites, classified platforms, and local marketplaces, each with its own structure.
Duplicate records
The same property is often listed on multiple platforms with slightly different details, pricing, and configurations.
Inconsistent formats
Areas, prices, configurations, and addresses are expressed differently across sources, making records difficult to compare.
Fast-moving market
Listings, prices, and availability change frequently, and stale data quickly becomes useless for analysis or lead generation.
Location ambiguity
The same locality or project can be spelled or referenced differently across sources, breaking geographic analysis.
Fragmented developer data
Developer and project information is rarely consolidated, making it hard to track portfolios, launches, and pricing strategies.
THE MYDATASCRAPER APPROACH
From fragmented web pages to structured business intelligence.
MyDataScraper collects listings and project data from the property sources you select, then deduplicates, validates, and standardizes them into one consistent property dataset — with location normalization and historical tracking built in, so your team works with comparable records rather than raw pages from a dozen portals.
What you can build with Real Estate Data Solutions.
Property listings
Collect structured listing data across property portals, developer websites, and classified platforms.
Project data
Capture project, developer, and configuration details, including launch status and possession timelines.
Pricing
Collect asking prices, price per square foot, and price bands where available.
Location intelligence
Structure localities, cities, coordinates, and addresses into geospatially usable fields.
RERA data
Collect publicly available registration details that help validate projects and developers.
Developer data
Organize builders, projects, and portfolios into a consistent developer-level view.
Images & URLs
Capture listing images, floor plans, and source links for reference and enrichment.
Historical data
Track listing and price changes over time for trend and absorption analysis.
Amenities & specifications
Extract amenities, specifications, floor plan variations, and other structured attributes.
Multi-geography coverage
Collect data across multiple cities, states, or regions in a single unified dataset.
Build the dataset around your required fields.
| FIELD | EXAMPLE |
|---|
Available fields depend on the source website and specific use case.
Collect data from the sources your business depends on.
PROPERTY PLATFORMS
- Property portals
- Real estate marketplaces
- Classified listings
DEVELOPERS
- Developer websites
- Project microsites
- Builder catalogs
PUBLIC REGISTRIES
- Regulatory portals
- Public project records
- Directories
BROKER & AGENCY SITES
- Agency websites
- Broker listings
- Local marketplaces
Sources can be evaluated based on your target data and collection requirements. Not every website can be supported.
A data workflow designed around your requirements.
-
01
Define
Identify sources, fields, locations, filters, and update frequency.
-
02
Extract
Collect relevant information from the selected sources.
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03
Structure
Normalize fields and standardize records.
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04
Validate
Check records, remove duplicates, and apply quality controls.
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05
Deliver
Send data through the selected delivery method.
Receive your data the way your systems need it.
How frequently can the data be updated?
One-Time
A single dataset delivered once.
Daily
Refreshed every day.
Weekly
Refreshed every week.
Scheduled
Custom intervals you define.
Near Real-Time*
Where the source and workflow allow.
*Update frequency depends on source availability, technical requirements, and the specific workflow.
What businesses use this data for.
Market analysis
Track supply, pricing, and absorption trends by locality, configuration, or developer.
Investment research
Compare projects, price movement, and historical data for investment decisions.
Listing databases
Build and maintain structured property catalogs for portals or marketplaces.
Competitor tracking
Monitor developer launches, pricing strategies, and inventory movement.
Location analytics
Feed property data into geospatial analysis, retail planning, or urban research.
AI & data science
Create structured real estate datasets for valuation models and predictive analytics.
CRM enrichment
Feed lead generation and CRM systems with verified listing data.
Reporting & dashboards
Power internal BI dashboards with clean, refreshable real estate data.
Built for teams across data-intensive industries.
API DELIVERY
Put real estate data solutions directly into your application.
Access structured data through an API instead of maintaining extraction infrastructure yourself.
Illustrative example only. Endpoints and fields are defined per project.
GET /api/properties? city=ahmedabad type=3bhk
{
"project": "Example Heights",
"developer": "Example Group",
"type": "3 BHK",
"price": 14500000,
"price_per_sqft": 10211,
"area_sqft": 1420,
"locality": "Example Area",
"city": "Ahmedabad",
"status": "under_construction",
"rera_id": "RERA-XXXX01"
}
See the data before you build around it.
Review a sample dataset to understand the structure, fields, and level of detail available for your use case.
| PROJECT | TYPE | PRICE | AREA | STATUS | CITY |
|---|---|---|---|---|---|
| Example Heights | 3 BHK | ₹1.45 Cr | 1,420 | Under construction | Ahmedabad |
| Skyline Residency | 2 BHK | ₹82 L | 980 | Ready to move | Pune |
| Green Park Villas | 4 BHK | ₹3.2 Cr | 3,100 | New launch | Bengaluru |
| Riverside Towers | 3 BHK | ₹1.98 Cr | 1,650 | Under construction | Mumbai |
| Palm Grove Enclave | 2 BHK | ₹74 L | 920 | Ready to move | Hyderabad |
More than extraction.
Data engineering
Design workflows around your actual data requirements.
Structured output
Receive consistent and analysis-ready datasets.
Custom workflows
Choose sources, fields, frequency, and delivery around your use case.
Ongoing data operations
Support recurring workflows as source structures and requirements evolve.
Frequently asked questions.
What real estate data can be collected?
Property listings, project information, developer profiles, configuration details, pricing, RERA registration data where publicly available, location coordinates, amenities, images, and source URLs — depending on what each source exposes.
Which property portals can you collect from?
Sources can be evaluated based on your target data, geography, and collection requirements. Share the portals and developer websites you have in mind and we will assess feasibility.
Can data be scoped to specific cities or localities?
Yes. Datasets can be scoped by city, region, locality, project type, or a fixed list of developers depending on the source.
How do you handle duplicate listings?
We apply deduplication logic using project name, developer, address, coordinates, configuration, and price to merge duplicate records into a single clean entry.
Can I track price changes over time?
Yes. Recurring workflows build a historical price dataset, allowing you to see how listings and pricing have moved across your target markets.
Can you provide location coordinates?
Where the source exposes latitude and longitude or a clear address, we can structure location data into geospatially usable fields.
Can I receive the data as an API?
Yes. Data can be delivered through a REST API designed around your application or dashboard needs.
What output formats are available?
JSON, CSV, Excel, database delivery, scheduled feeds, cloud storage, or a custom integration.
How often can the data be updated?
Workflows can run daily, weekly, monthly, or on custom schedules depending on the source and your requirements.
Can you provide a sample dataset?
Yes. Request a sample to review the structure, fields, and level of detail for your use case.
How do you handle changes on property portals?
Recurring workflows are maintained and adjusted as source structures change so delivery keeps matching your requirements.
Do you support RERA data collection?
Publicly available RERA registration information can be collected where the source permits, helping validate projects and developers.
Build the Real Estate Data Solutions workflow your business needs.
Tell us what data you need, which sources matter, how often it should be updated, and how you want to receive it.