Thanks for the great answer. Based on what I'm reading scraping a business website is probably fine in general but using data from Google Maps/Yelp/etc is generally not gonna fly.
What I think could work is if everydoor allows you to create notes with photos (https://github.com/Zverik/every_door/issues/184) then it would be pretty easy to later go back and drop those photos into an AI tool and extra websites and try to create some tags for review. Could also work with Streetcomplete but there it's not easy to see if a POI already exists.
In any case, I might experiment with this idea further.
Some very basic testing shows me that Claude 3.5 Sonnet is pretty great at taking a photo of a menu turning it into decent tags.
So if I could run around taking photos of menus and the outside of businesses then quickly turn them into tags later that would be a nice workflow for me (and hopefully others).
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Thanks for the great answer. Based on what I'm reading scraping a business website is probably fine in general but using data from Google Maps/Yelp/etc is generally not gonna fly.
What I think could work is if everydoor allows you to create notes with photos (https://github.com/Zverik/every_door/issues/184) then it would be pretty easy to later go back and drop those photos into an AI tool and extra websites and try to create some tags for review. Could also work with Streetcomplete but there it's not easy to see if a POI already exists.
In any case, I might experiment with this idea further. Some very basic testing shows me that Claude 3.5 Sonnet is pretty great at taking a photo of a menu turning it into decent tags.
So if I could run around taking photos of menus and the outside of businesses then quickly turn them into tags later that would be a nice workflow for me (and hopefully others).