Cafés near train stations

around accepts a set instead of a single point. This finds features near other features, for example cafés close to stations, or schools near main roads.

The query

[out:json][timeout:60];
area["name"="Zürich"]["admin_level"="8"]->.a;
node["railway"="station"](area.a)->.stations;
nwr["amenity"="cafe"](around.stations:150);
out center;

Run it

Live result from overpass.ch, cached for up to 12 hours. Map data © OpenStreetMap contributors (ODbL).

How it works

1. The stations are saved in the set stations.
2. (around.stations:150) keeps cafés within 150 metres of any station.
3. Only the cafés are printed. Add .stations out; to include the stations.

Variations

• Around lines works too: way["highway"="motorway"](area.a)->.m; nwr["amenity"="school"](around.m:200);.

Run it from your code

curl https://api.overpass.ch/v1/YOUR_API_KEY/interpreter \
  --data-urlencode 'data@query.overpassql'

import requests

query = open("query.overpassql").read()
r = requests.post("https://api.overpass.ch/v1/YOUR_API_KEY/interpreter",
                  data={"data": query}, timeout=120)
r.raise_for_status()
print(r.json()["elements"][:3])

const res = await fetch("https://api.overpass.ch/v1/YOUR_API_KEY/interpreter", {
  method: "POST",
  body: new URLSearchParams({ data: query }),
});
if (!res.ok) throw new Error(await res.text());
console.log(await res.json());

Save the query as query.overpassql. It works the same in Overpass Turbo, QGIS and JOSM.