About this Dataset
This 99acres Real Estate dataset is a free CSV sample of 26 records covering residential and commercial property listings from 99acres (India). It gives you a realistic preview of the 99acres data you can collect at scale, so you can review the structure and quality before committing to a larger project. This free real estate dataset download requires no coding and is ready to use the moment you open it.
Each record in this 99acres dataset includes 42 fields: entity_type, spid_or_unit_id, prop_id, title, description, property_type, builder_name, contact_name, and more. The data is normalized into a consistent schema and delivered in CSV format, ready to import into spreadsheets, CRMs, databases, or analytics tools without extra cleaning.
This sample is especially useful for real estate investors, proptech startups, market analysts, and valuation teams who need reliable real estate data extraction without building and maintaining their own scrapers. Whether you are benchmarking competitors, enriching a CRM, or running market research, structured 99acres data speeds up every step of the workflow.
DataHarbor collected this sample using the same managed infrastructure that powers our custom data extraction across 700M+ domains — handling proxy rotation, JavaScript rendering, anti-bot bypass, deduplication, and quality checks so the final output is clean and analysis-ready.
Need more than a sample? DataHarbor delivers full-scale 99acres scraping — more records, more fields, and additional regions — refreshed daily, weekly, or monthly in CSV, Excel, JSON, or straight to your database. Contact us to request a custom real estate dataset built to your exact requirements.
Data Fields
| # | Field Name |
|---|---|
| 1 | entity_type |
| 2 | spid_or_unit_id |
| 3 | prop_id |
| 4 | title |
| 5 | description |
| 6 | property_type |
| 7 | builder_name |
| 8 | contact_name |
| 9 | possession_status |
| 10 | city |
| 11 | locality |
| 12 | state |
| 13 | latitude |
| 14 | longitude |
| 15 | price_label |
| 16 | price_min |
| 17 | price_max |
| 18 | price_per_sqft |
| 19 | area_label |
| 20 | area_type |
| 21 | bedroom_num |
| 22 | bathroom_num |
| 23 | facing |
| 24 | floor_num |
| 25 | total_floor |
| 26 | age |
| 27 | transaction_type |
| 28 | owner_type |
| 29 | class_label |
| 30 | society_or_project_name |
| 31 | register_date |
| 32 | rera_registration_id |
| 33 | project_rating |
| 34 | cover_image_url |
| 35 | image_urls |
| 36 | video_count |
| 37 | brochure_url |
| 38 | key_highlights |
| 39 | nearby_landmarks |
| 40 | bhk_breakdown |
| 41 | detail_page_url |
| 42 | owner_phone |
Note: The fields included in these sample datasets are selected for demonstration purposes only. For your actual project, we can extract any available data field from the target website — fully customized to match your specific requirements.
Download
99acres-real-estate-listings-india.csv
CSV · 26 records · 42 fields
Need More Data?
This is just a sample. DataHarbor delivers full-scale, custom 99acres datasets — more records, more fields, more regions — on the schedule you need, in the format you want.