Migros supermarkets in Switzerland

Chain stores carry brand and brand:wikidata tags. This is how brand and location intelligence teams count stores and find gaps in their own data.

The query

[out:json][timeout:60];
area["ISO3166-1"="CH"][admin_level=2]->.ch;
nwr["shop"="supermarket"]["brand"="Migros"](area.ch);
out center;

Run it

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

How it works

1. ["brand"="Migros"] matches the brand name exactly.
2. ["shop"="supermarket"] leaves out the other shop types of the brand (petrol stations, restaurants, DIY stores).

Variations

• Brand names vary in spelling. The Wikidata ID is safer: see all locations of a chain by Wikidata ID.
• Compare two brands by running the query twice, or use count for just the numbers.

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.