Real Estate Dataset
Access our extensive real estate datasets, featuring essential information such as property type, size, price, address, images, descriptions, rental status, and sales history. These datasets provide a complete view of the real estate market, enabling accurate property evaluations, trend analysis, investment research, and market forecasting.
Over 314.2M records available
- Continuously verified, enriched, and refreshed
- Real estate data from major websites
- Free real estate data samples for download
- Starting from price $250/100K records
Trusted by 20,000+ customers worldwide
Popular pre-built real estate datasets
Ensure hassle-free data access by using ready-made datasets.
- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data
Zillow properties listing information
873+Otodom Poland
Australia real estate properties
Zillow price history
Zoopla properties listing information
Realtor international properties listings
Zonaprop Argentina - Properties Listing
Inmuebles24 Mexico - Properties Listings
Metrocuadrado - Properties Listings
Toctoc - Properties Listings
Properati Argentina and Colombia - Properties Listings
Infocasas Uruguay - Properties Listings
Suumo.jp
233+Zillow Full Properties Information
Zillow properties search page
Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
Power AI Agents Instantly
Our Real estate datasets are AI/LLM-optimized: clearly structured, well-documented, with code and recipes for easy LLM/chatbot integration.
Structured & Clean
Pre-processed data with consistent schemas, perfect for AI model training and inference.
Code Examples
Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.
Documentation
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Authorization: Bearer '
import requests
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(response.json())
const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer '}, body: undefined};
try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer ")
.asString();
require 'uri'
require 'net/http'
url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '
response = http.request(request)
puts response.read_body
Filter the Real estate dataset with a single prompt
Describe exactly what you need, and let AI apply the perfect filters in seconds.
- Describe data needs in plain English
- AI applies accurate filters automatically
- Narrow huge datasets to only what matters to you
- Cut costs by skipping irrelevant data
- Export filtered data in your preferred format
Maximize value with strategic cost savings
Smart Data Updates
Access only "New Records" or "Updated Records," ensuring you pay only for what you need"
Dataset Bundles
Gain greater value by purchasing two or more datasets together, with exclusive discounts.
Volume Discounts
Get more for less with significant savings when purchasing large datasets or updates subscriptions
Enriched Datasets
Save time and resources with pre-built datasets that combine multiple sources into one clean dataset
Real estate data sources: All in one place
Getting real estate data usually means pulling from dozens of sources: Zillow, Redfin, Realtor.com, county assessor websites, government portals, and regional listing sites. Each has its own format, API limits, and update schedule. Bright Data combines data from all major real estate platforms into a single, clean dataset.
Major US Portals
Redfin
Realtor.com
MLS
International Platforms
Otodom (Poland)
Zonaprop (Argentina)
Inmuebles24 (Mexico)
Property Records & History
Pricing trends
Sales data
Listing duration
Real estate dataset sample
Real estate data points include home sell price, number of bedrooms & baths, property size, location, estimated monthly mortgage payment, type of residence, year built, features, price/sqft, property overview, listing agent, and much more.
Real estate datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Real estate data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use Real estate datasets
Housing demand
Market monitoring
Smart investing
Real estate Dataset FAQs
What data is included in the real estate dataset?
The real estate dataset includes different data points that fit your needs. Some of the data points include: City, state, address, bedrooms, bathrooms, price, year built, street address, zip code, and a lot more.
Can I get updates for my purchased real estate dataset?
Yes, you can get updates to your real estate dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the real estate dataset?
Yes, you can purchase a real estate subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the real estate dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I scrape real estate public data by myself?
If you don’t want to purchase a dataset, you can start scraping real estate data using our Real Estate Scraper API.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the real estate dataset?
Yes, you can request specific data points from the real estate dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the real estate dataset directly into my existing systems?
Absolutely, the real estate dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.
How does Bright Data's real estate dataset compare to free public sources like Zillow Research or Data.gov?
Free public sources like Zillow Research, Redfin Data Center, and government portals offer valuable data, but they often have limitations. These include restricted API rate limits, incomplete coverage, inconsistent formatting, or data that needs significant cleaning. Bright Data's real estate datasets are pre-cleaned, validated, and structured from multiple sources in a single, unified format (JSON, CSV, or Parquet). This saves you weeks of data preparation work.
Does Bright Data aggregate data from multiple real estate sources?
Yes. Our real estate datasets bring together information from major portals including Zillow, Realtor.com, Zoopla, Redfin, and regional platforms worldwide. Instead of managing multiple APIs and data formats from different sources, you get a unified, enriched dataset ready for immediate analysis or AI model training.
Can Bright Data provide historical real estate transaction and pricing data?
Yes. Our datasets include historical data points such as sales history, price changes over time, and listing duration. This allows you to do trend analysis, market forecasting, and investment research without needing to compile historical records from multiple county assessor websites or public archives.
What geographic coverage do your real estate datasets offer?
Our real estate datasets cover properties across the US, UK, Australia, Argentina, Mexico, Colombia, Uruguay, Poland, and more. Data is available at multiple geographic levels including address, ZIP/postal code, city, state/region, and country. This global coverage goes beyond what most single-source public datasets can provide.
How is Bright Data's real estate data different from what I'd find on Kaggle or free dataset repositories?
Free datasets on platforms like Kaggle are often static snapshots that quickly become outdated. Bright Data offers continuously refreshed datasets with customizable update frequencies (monthly, quarterly, biannual), so you always have current market data. Our datasets are also validated, enriched, and maintained by data professionals, which removes the quality issues common in community-contributed datasets.