As a researcher, gathering reliable and affordable real estate data can be a daunting task. I’ve been in your shoes, searching for the perfect dataset to create a dashboard on local housing affordability for a university research center. The ideal dataset would provide listing-level details, updated at least monthly.
After scouring the web, I’ve compiled a list of low-cost real estate data sources that might just fit the bill. From government agencies to private companies, these sources offer a wealth of information to help you create an informative and engaging dashboard.
One of the most promising sources is the Zillow API, which provides access to millions of listings, updated daily. Although it’s not entirely free, the cost is relatively low, making it an attractive option for researchers on a budget.
Another option is the American Community Survey (ACS) conducted by the US Census Bureau. The ACS provides detailed information on housing, including affordability, at the local level. While the data might not be as up-to-date as some other sources, it’s free and widely available.
For those looking for more granular data, Redfin’s API offers access to real-time listings, including prices, amenities, and more. With a free tier option, it’s definitely worth exploring.
Lastly, consider reaching out to local real estate associations or multiple listing services (MLS) for access to their data. They might be willing to share or provide discounted rates for research purposes.
Remember to always review the terms and conditions of each data source, ensuring you understand any limitations or restrictions on usage.
I hope this helps you find the perfect dataset for your research dashboard. Happy researching!