300 results and was ultimately presented with 252 results. After I opened the file, I discovered many were accurate, but 119+ results (48%) are for things like CVS, Walgreens, Weis, Office Depot, Target, Dollar Tree, Firestone Complete Auto, a Mower Repair shop, Giant Food, Sunset Liquor, Cue Dudes Pool Tables, Sherwin-Williams, Billy's Hearth Grill, Skatezone, Olayemi Watches, clothing stores, a florist, an optometrist...

Results also came back for Delaware, District of Columbia, Massachusetts, New York, NJ, North Carolina, Pennsylvania, VA, Vermont, Virginia, and West Virginia. I can see the use of the word "near" is probably what got me in this aspect of the search, but it's what naturally populated when I created a Google Maps search, so I just ran with it to see what happens.

I can see results like Flooring, Hardware, etc being scooped up in this search, but the rest?

How do I reject items that have no clear reference to what I was looking for after I run a task? How do I prevent things like Optometrists and Florists from getting caught up in a search for lumberyards?

BTW: I used "lumber store" vs "lumberyard" also because this was a default selection when I set up my search. I assume the software might produce better results if I went with what seems to be used most often in Google Maps searches, so I ran with it in my test.

I can see how this will be useful in my business, but there is clearly a good deal of filtering / returning of unrelated records that needs to be done. Recourse for 50% "misses" and training on how to better target results will be good to understand.