What is House Price Data?
House price data refers to information and statistics related to the prices of residential properties. It includes details such as the selling price, location, size, and other relevant factors that influence the value of houses. This data is collected and analyzed to provide insights into the real estate market, trends, and fluctuations in property prices.
Examples of House Price Data include historical sales prices of houses, current listing prices, and rental prices. House Price Data is used by real estate professionals, investors, and researchers to analyze market trends, determine property valuations, and make informed decisions regarding buying, selling, or renting properties. In this page, you’ll find the best data sources for housing price dataset.
Best House Price Datasets & APIs
Bright Data | House Price Data | Custom Dataset of House and Real Estate Pricing, Web-Scraped - Available at scale for any use case
Bright Data | Real Estate Price Data | Custom Dataset of House and Real Estate Pricing, Web-Scraped - Available at scale for any use case
CrawlBee | Consumer Behavior Data | Address Data | B2C Data | HomeOwner Data | Real Estate Transaction Data | USA
SMS Real Estate Data / Homeownership Data / USA / 150MM Homeowners / 170MM Households / Weekly Updates / Marketing and Analytics
Crawlbee | Alternative Data | Web Scraping | Custom Datafeeds | Consumer Data | Commerce Data
WalkLists | Consumer Data Household Property Buying Characteristics USA (>240M Consumers)