Best open cafes near you in Milan (IT)

Best open cafes near you in Milan Italy : Find your ideal quiet or bustling cafe nearby you.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated cafes.

AI
(Bakery)
Via Santa Radegonda 16 Milano
4.5

Visitors usually stay 20 min here.

For more info visit the website or checkout Google Maps.

(Coffee)
Via Napo Torriani, 5
4.4

Visitors usually stay 45 min to 1,5 hr here.

Google Maps

(Bakery)
Via Speronari 6n02 Milano Italy
4.2

Visitors usually stay 30 min here.

For more info visit the website or checkout Google Maps.

(Breakfast restaurant)
Via Filippo Turati 30 Milano IT
4.1

Visitors usually stay 15 min to 1,5 hr here.

For more info visit the website or checkout Google Maps.

(Cafe)
Piazza S. Fedele, 2
4.2



Google Maps

(Bakery)
Piazza VENTICINQUE APRILE 5, 20154.0, Italy
4.0

Visitors usually stay up to 1 hour here.

For more info visit the website or checkout Google Maps.



Special pages for Milan Italy

Sightseeing in Milan
Bars & clubs in Milan
Restaurants in Milan
Cafes in Milan
Popular cafes on Thursday afternoon in Milan
Busy cafes on Friday afternoon in Milan
Frequently visited cafes on Saturday afternoon in Milan
Highly rated & busy cafes on Saturday in Milan
Most expensive cafes in Milan
Cheapest cafes in Milan
Cafes visitors stay long in Milan
Cafes with short visit durations in Milan

View on map

Map view and advanced filters


Nearby cities and areas

Also checkout cafes in other cities and areas nearby Milan

Cafes in Sesto San Giovanni
Cafes in Cinisello Balsamo
Cafes in Rho
Cafes in Lissone
Cafes in Cesano Maderno
Cafes in Brugherio
Cafes in Corsico
Cafes in San Donato Milanese
Cafes in Muggiò
Cafes in Monza
Cafes in Bergamo
Cafes in Novara

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Milan, Italy. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.