Hi - I am trying to find the best way to search for "All butchers in England" or "All butchers in Germany". I notice that when I do a search for a butcher via Nominatim in Geopy where I already know the coordinates, Nominatim indeed seems to know it is a butcher:

location = geolocator.reverse("50.8907671, 12.4256231") locaton.raw {'place_id': ...other stuff. 'address': {'butcher': 'Fleischerei Hanns', 'house_number': '6', 'road': 'Am Löschkenberg'...

If I try an unstructured search I get very few results (should be in the thousands)

location = geolocator.geocode("butcher in germany", exactly_one=False, limit=None) len(location) 10

And I know you can do structured searches in Nominatim. So how would I structure a search here to return all the addresses that Nominatim thinks is a butcher?

PS - I do the same search on Overpass-turbo and get around 5900 entries, but the addresses do not routinely have a CITY and that's what I'm looking for. They only have what people might have entered. I can run the Overpass lat/long through Nominatim reverse search to get the city information, which works but it feels inefficient. If I can answer my first question I'll have a solution.

Thanks for any help!

asked 01 Jul '19, 19:20

matthpau's gravatar image

accept rate: 0%

edited 01 Jul '19, 19:23

Nominatim can only find POIs (shop, restaurant, hospital) in a short radius. Even then the list can be incomplete. Overpass or filtering a *.osm file with other tools is the better systematic approach for a whole country.

Nominatim support batch requests with http://nominatim.org/release-docs/latest/api/Lookup/ The limit is set to 50 on nominatim.osm.org (configurable if you have your own installation). It might seem inefficient but the only option would be direct database access to a Nominatim installation.

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answered 01 Jul '19, 19:58

mtmail's gravatar image

accept rate: 31%

Super, thanks for the explanation.

(02 Jul '19, 07:45) matthpau
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question asked: 01 Jul '19, 19:20

question was seen: 561 times

last updated: 02 Jul '19, 08:26

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