Best restaurants Braunschweig (DE)

Popular restaurants and hours for eating in Braunschweig Germany : Secure a table before rush hour at the most popular restaurants.

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

Varanda Brasil (Restaurant)
Kaiserstraße 8
4.6

Varanda Brasil is most popular around 7 PM on Saturdays. Visitors usually stay 2,5 hours here. It's most quiet on Sundays.

Brasilianischer Konzept ( All you can eat ) A lá carte ( pizza , pasta , Salat und Dessert)

For more info visit the website or checkout Google Maps.

Bossanova - Braunschweig (Restaurant)
Lange Str. 37 38100 Braunschweig Germany
4.6

Bossanova - Braunschweig is most popular around 7 PM on Fridays. Visitors usually stay 1,5-3 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

NEM Quán (Asian restaurant)
Schuhstraße 22 38100 Braunschweig Germany
4.4

NEM Quán is most popular around 3 PM on Saturdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Dubrovnik - Braunschweig (Restaurant)
Kohlmarkt 11
4.5

Dubrovnik - Braunschweig is most popular around 6 PM on Saturdays. Visitors usually stay 1-2 hours here. It's most quiet on Thursdays.

Google Maps

Vai Pizza (Pizza restaurant)
Neustadtring 30A
4.0

Vai Pizza is most popular around 7 PM on Saturdays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Troja (Restaurant)
Bültenweg 6
4.5

Troja is most popular around 7 PM on Saturdays. Visitors usually stay 1,5-2,5 hours 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 Braunschweig, Germany. 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.