They do also have a Web based estimator you can access from anywhere, although that was not an option when I was using their data, so have no experience with it.You can adjust the rates for labor, overhead, and other variables to fit your needs.

Google how to do so and you may need assistance from an agent to get the data.

I LOVE data.

Barry Minkow provided much data on a sample on many of the properties.   

I would lead with that HARD in all your marketing.A few strategies beyond MLS:SELL IT AS A BUSINESS, NOT JUST A PROPERTYInclude your booking history, reviews, revenue data, and even your tech stack (PMS, smart locks, etc).

You can help protect this by getting a “rate cap”, but as a data point…the rate cap costs went up over 3,400 in less than two years.

Income is usually whatever the applicant types in, and background or eviction data can be hit or miss depending on the state.

Street-by-street data and neighborhood grading can be a game changer, and even modestly undervalued areas in the Midwest can outperform higher-risk urban markets.

I started looking into more things a LLM (large language model) would be capable of doing and started working on a couple features to help with some of the repetitive data entry I was doing every month.I'm curious about learning how people do bookkeeping and some of the things they dread doing?

Clean, localized, well-segmented data tends to outperform UI once costs tighten.From what I’ve seen working with different datasets, how those addresses are sourced makes or breaks downstream efficiency.Curious how you’re sourcing or filtering the addresses that feed into the API flow — manual criteria, stacked lists, or something else?