Unlock the potential of smart property investments with our Real Estate Listings dataset, offering access to tens of millions of records from major real estate websites such as Zillow, MLS, and more. Whether you seek a complete dataset or a customized subset, our comprehensive real estate data points provide the insights needed for strategic decision-making.
Our data set includes: -Australia real estate properties -Otodom Poland -Inmuebles24 Mexico -Metrocuadrado -Conlallave -Infocasas Uruguay -Properati Argentina and Columbia -Toctoc -Zillow properties -Zonaprop Argentina
And more!
Key Features: 1. Multi-Site Data Sources: Access real estate datasets from prominent websites like Zillow and MLS, ensuring a broad and detailed view of the real estate landscape. 4. Comprehensive Data Points: Explore a wealth of real estate information, including home sell price, bedrooms & baths, property size, location, estimated monthly mortgage payment, type of residence, year built, features, price/sqft, property overview, listing agent details, and more. 5. Housing Demand Forecasting: Leverage real estate datasets to forecast housing demand and sales by identifying market cycles, lowest prices, and peak prices. Make strategic decisions based on comprehensive market insights. 6. Market Monitoring: Compare properties on leading real estate websites, including Zillow and Realtor, to monitor price changes. Utilize localized datasets to compare amenities in desired locations, gaining a deep understanding of homebuyer expectations. 7. Smart Investing Strategies: Identify properties with the highest rental yields by analyzing location-based data and rental cycles—make informed decisions on real estate investments based on robust dataset insights.
Sample Dataset Insights: -Property Details: Sell price, bedrooms & baths, property size, location, and more. -Financial Information: Estimated monthly mortgage payment, price/sqft, and other relevant metrics. -Market Trends: Forecasted housing demand, sales, and market cycles.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing has one pricing dimension: Product Access, measured in units. It grants subscribers access to the Real Estate Listings dataset at no cost. There are no tiers, instance sizes, or usage add-ons to choose between. You subscribe once and gain access to the structured property data. Because pricing is Free, there is no scaling logic tied to record volume within this Marketplace dimension. The dataset covers property details such as type, size, price, address, images, and sales history across multiple regions.
Top-of-mind questions for buyers
What counts as one record in the Real Estate Listings dataset?
One record equals one property listing, shown as a single row in your delivered file or one JSON object. It contains all collected fields for that property, such as address, price, bedrooms, bathrooms, year built, and sales history. You can inspect the exact fields by downloading a sample before purchase.
Does the Product Access dimension include ongoing dataset refreshes, or just a one-time pull?
The Marketplace dimension grants access to the dataset. On the seller side, datasets can be refreshed on a daily, weekly, monthly, quarterly, or custom schedule through subscriptions. Refresh scheduling and delivery frequency depend on your configuration. Contact the vendor to confirm refresh options tied to this access.
What file formats and delivery methods can I use to receive the data?
You can receive data in JSON, NDJSON, JSON Lines, CSV, or Parquet, with optional .gz compression. Delivery options include Amazon S3, SFTP, webhook, API, and other storage targets. You can also filter datasets to include only the fields and regions you need before delivery.
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This data set consists of one csv file that contains over 120,000 U.S. Schools: School Name, Address, District Name, County, Phone Number, Grades Served, Magnet/Charter/Virtual flags, and latitude/longitude.
This data set consists of one csv file that contains over 120,000 U.S. Schools: School Name, Address, District Name, County, Phone Number, Grades Served, Magnet/Charter/Virtual flags, latitude/longitude, total number of students, total number of students by race, number of free-reduced lunch program recipients and student/teacher ratio.
Directory of 120,000+ U.S. K-12 public, charter, and private schools with names, addresses, phone numbers, grades served, district affiliation, magnet/charter/virtual flags, and geographic coordinates. Apache Parquet format, query in-place via Athena, Redshift, or Spark. Always current — no downloads needed. Updated monthly using data from SchoolDigger and NCES. Free sample available.