Then take that data and skip trace it for numbers email etc.

I don't want to violate any of the self-promotion rules on this thread by specifically linking or name-dropping, but it's from a data analytics platform I am working on specifically built for tracking construction, debt, and ownership activity in the Philadelphia region.I will be posting more detailed insights soon. 

The data plans are reasonable ($50/month) and the service seems like it would be more reliable through storms and outages. 

Hello, it is really time consuming for me to analyze each property by manually entering its data to calculate the return.

I've spent HOURS onboarding my properties and data manually. 

Appraiser will use data from whatever closely matches the subject.

I just reached out to a host on Airbnb who has properties I want to try and model mine after (based on AirDNA data).

When trying to analyse STR I try to use as many data sources as possible, AirDNA, Rabbu, Pricelabs and good old networking, ask around see what other investors are getting for their units. 

I usually start by analyzing data like population growth, job opportunities, and rental demand.

All units would be metered so data would be there to bill the tenants (so no ability to question the bill) but landlord would still pay the bill given we can not have 4 main master water meters (can only do 2 x1 master meter + x1 sub meter combinations).