We extract residential listings, commercial spaces, builder projects, pricing trends, and locality insights from 99acres. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Residential Listings objects from 99acres.com. All fields typed and schema-versioned.
"property_id": "P12948573", "title": "3 BHK Apartment for Sale in Whitefield", "property_type": "Apartment", "price": 14500000.0, "carpet_area": 1450, "bedrooms": 3, "locality": "Whitefield", "city": "Bangalore"
| # | property_id | title | property_type | price | price_per_sqft | carpet_area |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for New Projects objects from 99acres.com. All fields typed and schema-versioned.
"project_id": "PRJ84729", "project_name": "Prestige Shantiniketan", "builder_name": "Prestige Group", "rera_id": "PRM/KA/RERA/1251/446/PR/170915/000281", "possession_date": "2025-12-01", "total_units": 1200, "min_price": 9500000.0, "project_status": "Under Construction"
| # | project_id | project_name | builder_name | rera_id | launch_date | possession_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Commercial Properties objects from 99acres.com. All fields typed and schema-versioned.
"property_id": "C9384756", "space_type": "Office Space", "monthly_rent": 250000.0, "security_deposit": 2500000.0, "built_up_area": 5000, "furnishing": "Fully Furnished", "locality": "Cyber City", "city": "Gurgaon"
| # | property_id | title | space_type | price | monthly_rent | security_deposit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Locality Insights objects from 99acres.com. All fields typed and schema-versioned.
"locality_id": "LOC4928", "locality_name": "Bandra West", "city": "Mumbai", "avg_price_per_sqft": 45000.0, "price_yoy_growth": 8.5, "rental_yield": 3.2, "livability_score": 9.4
| # | locality_id | locality_name | city | avg_price_per_sqft | price_yoy_growth | rental_yield |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Agent Profiles objects from 99acres.com. All fields typed and schema-versioned.
"profile_id": "AGT99283", "name": "Prime Realty Solutions", "operating_since": 2012, "active_listings": 145, "ratings": 4.6, "verified_badge": true, "cities_covered": "['Pune', 'Mumbai']"
| # | profile_id | entity_type | name | operating_since | total_projects | active_listings |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our 99acres pipelines normalise complex real estate data. We handle map-based pagination, Next.js hydration states, and aggressive bot mitigation to deliver clean property records.
Extract price, carpet area, facing, floor plans, furnishing status, and amenities across residential and commercial listings.
Monitor new launches, total inventory, phase-wise possession timelines, and RERA compliance data for major developers.
Capture historical price-per-square-foot data, YoY growth metrics, and rental yields for thousands of micro-markets.
Scrape properties using coordinate bounding boxes and custom map polygons to isolate highly specific search zones.
Compile directories of verified agents, their active listing volume, operating history, and customer ratings.
Extract and normalise RERA registration numbers to cross-reference project legitimacy with state regulatory databases.
Track price drops, status changes from under-construction to ready-to-move, and delisted properties via delta updates.
Parse hidden JSON states directly from the 99acres frontend framework to capture data not immediately visible in the DOM.
Run pipelines hourly or daily to catch flash sales, new inventory drops, and rapid rental market fluctuations.
Brief in. Clean data out.
Provide target cities, localities, builder names, or specific property types. We design the schema to match your requirements.
We configure geospatial crawlers, bypass Akamai protections, and parse complex React states on 99acres.com.
We run schema validation, check for null rates on critical fields like price and area, and verify coordinate accuracy.
Clean JSON, CSV, or Parquet files pushed directly to your S3 bucket, BigQuery, or Snowflake environment.
Real estate portals use dynamic mapping and strict rate limits. Here is how our infrastructure maintains constant data flow.
Standard page numbers fail on large real estate sites. We use geospatial bounding boxes to divide cities into small grids, ensuring we capture every single listing without hitting the 1,000-result display limit.
99acres relies heavily on client-side rendering. Instead of fragile DOM scraping, our parsers intercept and decode the raw JSON hydration states embedded in the page source, guaranteeing perfect data accuracy.
Requests originating from data centres are instantly blocked. We route all traffic through Indian residential ISP proxies, rotating IPs dynamically to blend in with normal consumer browsing behaviour.
Real estate metrics vary wildly by city. We normalise carpet area, super built-up area, and pricing formats into standard numeric types, removing unstructured text like 'Lacs' or 'Crores' before delivery.
The same property is often posted by multiple brokers. We maintain a hash index based on coordinates, floor plans, and price to flag potential duplicates in your final dataset.
Automated valuation models (AVMs) ingest daily price-per-square-foot data to generate real-time property appraisals.
Real estate developers track competitor launch prices, amenity offerings, and inventory absorption rates across micro-markets.
Private equity and REITs analyse historical rental yields versus capital appreciation to identify high-ROI neighbourhoods.
Retail chains use commercial lease data and locality livability scores to select optimal sites for new store locations.
Agencies monitor owner-listed properties to pitch their brokerage services directly to independent sellers.
Consultancies track new project density and transit connectivity scores to model urban sprawl and infrastructure demand.
"99acres holds the most accurate pulse on Indian real estate pricing, but querying that data across thousands of micro-markets requires dedicated extraction infrastructure."
Most teams fail at scraping real estate portals because they ignore dynamic map-based pagination and Next.js hydration states. DataFlirt handles the complex geospatial queries, residential proxy rotation, and schema normalisation so your data science team can focus on yield modelling and price forecasting.
Everything supported by our 99acres.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy manages request orchestration and deduplication. Playwright handles complex map interactions and JavaScript execution. The hybrid approach maximises speed and data accuracy.
We route requests through Indian residential IPs to bypass regional blocks and Akamai bot mitigation, ensuring uninterrupted access to local property data.
Airflow schedules grid-based scraping jobs across Kubernetes clusters. PostGIS handles coordinate boundary math to ensure zero overlap between parallel extraction nodes.
Data delivered to where your team already works — no new tooling required.
About 99acres.com scraping, legality, and pipeline operations.
Ask us directly →Extracting publicly available real estate listings is generally permissible. DataFlirt strictly targets public data such as property specs, prices, and locality trends. We do not bypass authentication to extract private user data or unmasked contact numbers. Clients must ensure their use cases comply with local regulations.
We utilise Indian residential proxies, TLS fingerprint spoofing, and controlled request rates to mimic legitimate user behaviour. Our parsers extract data directly from the Next.js hydration state, reducing the need for excessive page loads.
No. 99acres masks contact numbers and requires users to log in or verify an OTP to view them. DataFlirt focuses purely on public metadata and does not perform authenticated scraping.
We configure pipelines to run daily or weekly depending on your target cities. For specific high-value micro-markets, we can run hourly change-detection jobs to catch immediate price drops.
Yes. We extract RERA IDs, builder names, and official possession dates for new projects, which you can then cross-reference with government databases.
Yes. Provide us with custom latitude and longitude bounding boxes, and our crawlers will extract all listings within that specific polygon, bypassing standard text-based locality searches.
Our minimum pipeline deployment covers single-city extraction (e.g., all of Bangalore or Mumbai) on a weekly cadence. Contact our technical team for a custom volume quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop fighting dynamic maps and Next.js hydration. Tell us your target cities and data points, and we will deliver clean property records directly to your warehouse.
