Real estate pricing data has traditionally been under lock-and-key, but with the rise of short-term rentals and their openly available pricing and demand data, we can use this information as a proxy to the overall housing market.
Understanding local real estate markets through short-term rentals requires knowing where the short-term listings are and understanding the demand for these listings.
Since short-term rentals data is public across a variety of apps, one could manually go through all of these apps and copy-paste the data into a spreadsheet for later analysis. However, many companies are increasingly resorting to automating this task using data scraping, to automatically collect relevant short-term rentals data.
You'll want to first target a location or city you're interested in and get back the basic listing details, typically including location and price. You can then go a step further for each listing and look up details, reviews and get the future availability calendar from certain sites.
Once you have a location in mind, you'll want to scrape all of the short-term rentals nearby.
In addition to looking up listing details, you can also get the future availability of listings to see which ones are more in demand compared to others - as well as how the future prices fluctuate over the year.