Best open cafes near you in Montpellier (FR)

Best open cafes near you in Montpellier France : 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.

BOULANGERIE ANGE (Bakery)
Quartier Eureka 2 All. Charles R. Darwin 34170 Castelnau-le-Lez France
4.1

BOULANGERIE ANGE is most popular around 12 PM on Thursdays. Visitors usually stay 15 min here. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Café BUN - Etuves (Cafe)
5 Rue des Étuves 34000 Montpellier France
4.6

Café BUN - Etuves is most popular around 4 PM on Saturdays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Les Demoiselles de Montpellier (Tea)
2 Rue de la Carbonnerie 34000 Montpellier France
4.6

Les Demoiselles de Montpellier is most popular around 3 PM on Saturdays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Café du Théâtre (Coffee)
3 Pl. de la Comédie 34000 Montpellier France
3.6

Café du Théâtre is most popular around 1 PM on Wednesdays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Le Café de la Panacée (Coffee)
14 Rue de l'École de Pharmacie 34000 Montpellier France
4.4

Visitors usually stay 45 min to 3 hr here.

For more info visit the website or checkout Google Maps.

Joy Healthyfood (Coffee)
55 Rue Estelle 34000 Montpellier France
4.6

Joy Healthyfood is most popular around 1 PM on Tuesdays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Montpellier, France. 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.