I think another option to consider would be running your own overpass server with a local copy of the data subsets you want, then using something like python's osmnx to do "native" queries.
Funny just popped up; I just learned of the existence of overpass-turbo via a geoguessing video on Youtube [0] just this week. Thanks for an interesting article!
Has anyone else run into big gaps in OSM data? I’ve tried to cobble together a store locator with Overpass Turbo, and even though the queries look correct I’ll still get fewer results compared to Google Maps. Sephora and Walmart locations in the US, for example.
Someone has to add those stores to OSM. It is usually done by local volunteers, so data for businesses could be lacking. On the other hand, in some regions, the quality of road and building data on OSM usually surpasses Google Maps.
wcedmisten|1 year ago
cmcconomy|1 year ago
stigaard|1 year ago
mft_|1 year ago
[0] https://www.youtube.com/watch?v=rl2Q9xH8e7M
kaveet|1 year ago
butz|1 year ago
unknown|1 year ago
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