Real Estate Datasets
Real estate datasets for smart property investments
- Tens of millions of records available
- Real estate data from major real estate websites
- Purchase a complete dataset or a customized subset
Featured in
Popular Datasets
Chances are, we have already built and maintain the data collection from popular websites.
Our ready-made collectors ensure hassle-free data access.
- Download demo data
- Fresh records on-demand or on schedule
- Enrich, format, and manipulate the data
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Properati Argentina and Columbia Datasets
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Massimo Dutti Datasets
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Lazada Datasets
SHEIN Datasets
Lego Datasets
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Owler Datasets
Slintel Datasets
Australia Real Estate Datasets
SpyFu Datasets
G2 Datasets
Casa.it Datasets
Flipkart Datasets
Monster Datasets
Grubhub Datasets
Costco Datasets
Lowes Datasets
Home Depot Datasets
Best Buy Datasets
Kroger Datasets
Chewy Datasets
Mouser Electronics Datasets
Real Estate Data Points
Get real estate datasets from websites such as Zillow, MLS, and more. 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.
Fresh Data Feed (Subscription)
Scheduled data feed of new or updated records.
100% Compliant Data Collection
Our privacy practices comply with data protection laws.
Managed Data Collection
We will build a dataset that is tailored to your needs.
Customizable Datasets
Filter and format datasets to fit your needs.
How companies use real estate datasets
Housing demand
Use real estate datasets to forecast housing demand and sales by identifying market cycles, lowest prices, and peak prices.
Market monitoring
Compare properties on Zillow, Realtor, and other top real estate websites to monitor price changes. With localized real estate datasets, you can compare amenities by desired locations and understand homebuyer expectations.
Smart investing
Identify properties with the highest rental yields based on location, negative and positive rental cycles, and determine whether to invest in this direction based on real estate datasets
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.
Seamless data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
Get structured and reliable real estate data
Real estate datasets tailored to your needs
24/7 support
We provide assistance to our customers whenever they need it
Code maintenance
Datasets are maintained based on website structure changes
Custom output fields
Define custom output fields to meet specific business requirements
Subscription
Data feed of new/updated records, based on a predefined schedule
Multiple delivery options
Email, API, Webhook, Google Cloud, Amazon S3 bucket, and Azure cloud.
Different file output formats
Datasets in the format of JSON, ndJSON, CSV, or Excel
Dedicated account manager
Management of your data collection by a dedicated account manager
Data scaling
Define servers to handle large amount of data requests
Data quality assurance
Ensure data reliability and accuracy for better decision-making
Flexible pricing, starting from $0.001/record
- Pay only for what you need
- Free samples available
- Cut costs by filtering unnecessary data
Real Estate Dataset FAQs
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 more.
Yes, you can get updates to your real estate dataset on a daily, weekly, monthly, or custom basis.
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.
You can choose one of the following formats: JSON, ndJSON, CSV, or XLSX.