Housing
📍 India
📅 Updated: 1 Month ago
Housing.com India Properties Dataset
Download the comprehensive Housing.com India Properties Dataset — 500,000+ scraped residential listings with prices, area, BHK, locality, amenities, coordinates, and more. Ideal for real estate analytics, price prediction, and location intelligence.
Total Records
500,000
Data points
Format
CSV/JSON
File format
Downloads
328+
Happy customers
Rating
4.7/5.0
★★★★★ (98 reviews)
🔧 Dataset Columns
Complete breakdown of all 45 columns available in the dataset.
- property_id — Unique Housing.com property identifier
- title — Full listing title
- city — City name (standardized)
- locality — Locality / sub-locality
- price — Listed price in INR
- area_sqft — Built-up / carpet area
- bhk_config — BHK / RK type
- property_type — Apartment, Villa, Builder Floor, etc.
- furnishing_status — Furnished, Semi-Furnished, Unfurnished
- amenities — Comma-separated amenities
- latitude — Precise latitude coordinate
- longitude — Precise longitude coordinate
- transaction_type — Sale / Rent
- agent_name — Listing agent or builder
- listing_date — Date first listed
- price_per_sqft — Calculated price/sqft
- property_age — Age of construction
- facing — Direction property faces
+ 27 additional columns including balcony_count, floor_number, total_floors, parking_type, water_availability, image_urls, listing_url, agent_rating, nearby_landmarks, and more.
🎯 Use Cases
How real estate professionals and data scientists leverage this dataset.
- Automated Valuation Models — Build price prediction models using area, locality, and amenities.
- Market Trend Analysis — Track price movements across cities and micro-markets.
- Location Intelligence — Map property hotspots with geo-coordinates.
- Investment Scouting — Identify undervalued properties based on price/sqft.
- Competitive Benchmarking — Compare listings by builder, agent, or locality.
- Demand-Supply Gap — Analyze inventory and price elasticity by city.
- Feature Importance — Understand which amenities drive property value.
- ML Training Data — Train recommendation engines and price classifiers.
HOUSING.CSV
Previewing 10 of 270 records
| Seller Name | Link | Title | Rera Approved | BHKs available | Flat Type | Price for left column flat type | Flat Type | Price for left column flat type | Flat Type | Price for left column flat type | Avg. Price | Possession Date | Last Updated on | Buildup Area |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Raj Realty Group | https://housing.com/in/buy/projects/page/350540-raj-legacy-satyam-a-and-b-by-raj-realty-group-in-mira-road-east | Raj Legacy Satyam A and B | RERA | 1, 2, 3 BHK Flats in Mira Road East | 1 BHK Flat | ₹82.5 L | 2 BHK Flat | ₹1.21 Cr | 3 BHK Flat | ₹1.6 Cr | Avg. Price: ₹18.84 K - 19.83 K/sq.ft | Possession: May, 2031 | ||
| Individual Agent | https://housing.com/in/buy/projects/page/361027-lodha-aureus-by-lodha-group-in-sewri | Lodha Aureus | RERA | 3, 4 BHK Flats in Sewri | 3 BHK Flat | ₹4.6 Cr - 6.3 Cr | 4 BHK Flat | ₹7.8 Cr - 10.7 Cr | Avg. Price: ₹39.72 K - 45.67 K/sq.ft | Possession: Dec, 2032 | 5d ago | |||
| Vishnu Mishra | https://housing.com/in/buy/projects/page/110032-balaji-nirvana-eco-homes-by-balaji-construction-co-in-palghar | Balaji Nirvana Eco Homes | RERA | 1 RK, 1, 2 BHK Flats in Palghar | 1 RK Flat | ₹13.08 L - 13.84 L | 1 BHK Flat | ₹15.86 L - 18.01 L | 2 BHK Flat | ₹22.15 L | Avg. Price: ₹5.74 K/sq.ft | Possession: Jul, 2023 | ||
| Vishnu Mishra | https://housing.com/in/buy/projects/page/268607-paramount-enclave-phase-1-by-kavita-realty-in-palghar | Paramount Enclave Phase 1 | RERA | 1 RK, 1, 2 BHK Flats in Haranwali | 1 RK Flat | ₹12.69 L - 13.83 L | 1 BHK Flat | ₹18.57 L - 24.51 L | 2 BHK Flat | ₹31.09 L - 33.5 L | Avg. Price: ₹5.87 K/sq.ft | Possession: Nov, 2024 | 2w ago | |
| Value Properties | https://housing.com/in/buy/projects/page/44183-lodha-new-cuffe-parade-estrella-by-lodha-group-in-sion | Lodha New Cuffe Parade Estrella | RERA | 1, 2, 3 BHK Flats in Sion | 1 BHK Flat | ₹1.3 Cr - 1.53 Cr | 2 BHK Flat | ₹2.63 Cr - 3.08 Cr | 3 BHK Flat | ₹4.11 Cr - 10.1 Cr | Avg. Price: ₹37.13 K/sq.ft | Possession: Jan, 2019 | 2d ago | |
| Horizon Proptech PVT LTD | https://housing.com/in/buy/projects/page/57-l-and-t-emerald-isle-by-lt-realty-in-powai | L And T Emerald Isle | RERA | 1, 2, 3, 4 BHK Flats in Powai | 1 BHK Flat | ₹1.22 Cr - 1.28 Cr | 2 BHK Flat | ₹1.69 Cr - 3.6 Cr | 4 BHK Flat | ₹5.42 Cr - 9.17 Cr | Avg. Price: ₹33.58 K/sq.ft | Possession: Dec, 2024 | 2d ago | |
| Vishnu Mishra | https://housing.com/in/buy/projects/page/345759-fia-vatika-by-fia-construction-company-in-haranwali | Fia Vatika | RERA | 1, 2 BHK Flats in Palghar | 1 BHK Flat | ₹24.66 L - 25.4 L | 2 BHK Flat | ₹40.45 L | Avg. Price: ₹6.79 K - 7.69 K/sq.ft | Possession: Dec, 2027 | 2d ago | |||
| Proptiger Marketing Services Private Limited | https://housing.com/in/buy/projects/page/105174-mohini-castle-by-mohini-sheltors-private-limited-in-khar-west | Mohini Castle | RERA | 1 RK, 1, 2, 3 BHK Flats in Khar West | 1 RK Flat | ₹94.14 L - 1.22 Cr | 1 BHK Flat | ₹1.6 Cr - 1.99 Cr | 3 BHK Flat | ₹2.92 Cr - 3.71 Cr | Avg. Price: ₹39.43 K/sq.ft | Possession: Jun, 2023 | 3w ago | |
| Ruparel Realty | https://housing.com/in/buy/projects/page/277676-ruparel-vivanza-by-ruparel-realty-in-byculla | RUPAREL VIVANZA | RERA | 2, 3 BHK Flats in Byculla | 2 BHK Flat | ₹2.75 Cr - 4.38 Cr | 3 BHK Flat | ₹4.18 Cr - 5.26 Cr | Avg. Price: ₹38.85 K - ₹43.31 K/sq.ft | Possession: Nov, 2027 | 1w ago | |||
| Viceroy Properties LLP | https://housing.com/in/buy/projects/page/357760-viceroy-visava-by-viceroy-properties-llp-in-andheri-west | Viceroy VISAVA | RERA | 3, 4 BHK Flats in Andheri West | 3 BHK Flat | ₹9.8 Cr | 4 BHK Flat | Avg. Price: ₹52.97k/sq.ft | Possession: Jun, 2031 | 1w ago |
Showing 10 records out of 270 total records in the file
💻 Quick Start with Python
Load and analyze the dataset in seconds using Pandas.
import pandas as pd
import matplotlib.pyplot as plt
# Load the Housing.com India Properties dataset
df = pd.read_csv(‘housing_india_properties_may2026.csv’)
# Quick overview
print(df.shape) # (512340, 45)
print(df[‘city’].value_counts().head(10))
# Top 5 most expensive localities in Mumbai
mumbai_df = df[df[‘city’] == ‘Mumbai’]
top_localities = mumbai_df.groupby(‘locality’)[‘price_per_sqft’].mean().nlargest(5)
print(top_localities)
# Average price by BHK configuration
bhk_price = df.groupby(‘bhk_config’)[‘price’].median().sort_values()
print(bhk_price)
# Scatter plot: area vs price in Bangalore
bangalore = df[df[‘city’] == ‘Bangalore’]
plt.scatter(bangalore[‘area_sqft’], bangalore[‘price’], alpha=0.3)
plt.xlabel(‘Area (sqft)’); plt.ylabel(‘Price (₹)’)
plt.title(‘Bangalore Property Prices vs Area’)
plt.show()
📥 Download the Dataset
Choose your preferred format. All downloads include the full 512,340 records with 45 columns and a detailed data dictionary PDF.
Free sample: First 5,000 rows. Full dataset requires subscription.
❓ Frequently Asked Questions
Common questions about the Housing.com India Properties Dataset.
Is this dataset legal and ethically sourced?
▼
Absolutely. The data was collected from publicly accessible pages on Housing.com, respecting their robots.txt and rate limits. We employ rotating residential proxies and randomized delays to avoid any server impact. No personal user data or account-walled information is included — only publicly listed property details.
How fresh is the property data?
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The dataset is refreshed monthly, with the most recent extraction completed on May 1, 2026. We also offer a real-time delta feed via API that captures new listings and price changes within hours.
Are rental listings included as well?
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Yes, the dataset covers both sale and rent listings, with a dedicated `transaction_type` column to filter accordingly. About 35% of the records are rental properties.
Can I get data for a specific city only?
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Yes, we offer custom city-level extracts. Contact our team with your target cities, and we’ll provide a tailored dataset at a reduced price.