Here’s how they approached it:1.Scraping Listings: They used web scraping tools like Beautiful Soup and GPT APIs to scan Airbnb for properties in their target areas.2.Image Analysis: They trained an AI model to analyse listing photos, identifying homes with solid potential (good structure, layout, location) that were undervalued due to low-quality photos.

The combination of families looking for more space, good schools, and a quieter lifestyle has been a big driver of demand.For my investments, I’ve noticed:High tenant quality: Families or professionals relocating to suburbs like Naperville and Wheaton tend to stay longer, which helps with stability.Increased competition: It’s definitely tougher to find good deals, especially in top-tier school districts.

Are their listings detailed with good-quality photos?

I paid about $1,500 for the installation of a high-quality 4-security-camera system, which can be monitored by both the tenants (and you!)

Here is the key: Don't pay for anything until it's done to your standard.

Are their listings detailed with good-quality photos?

Grocapitus had an ephipany about industry standards? 

There's a standard syndication that goes out to sites like Zillow, Redfin etc that is included when it is listed in the MLS; hence why people can find properties from across the country. 

When an investor decides to buy a 100 year old property in a low income neighborhood it's pretty clear that they are only going to renovate it to the standards of the comps.

As long as viewers can see the layout and general quality, I think it's safe to market.