Best open restaurants Fulda near you

Nearby open restaurants and hours for food in Fulda Germany : Secure a table before rush hour at the most popular open restaurants near you.

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

AI
(Burger restaurant)
Bahnhofstraße 27
4.6

Orange Die Burgermanufaktur is most popular around 7 PM on Saturdays. Visitors usually stay 1-2 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Italian restaurant)
Pfandhausstraße 1 Fulda
3.7

La Romantica Ristorante Pizzeria is most popular around 6 PM on Saturdays. Visitors usually stay 1-2 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
Esperantopl. 1 36037 Fulda Germany
4.7

Grillrestaurant „Toro Negro“ is most popular around 7 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Chinese restaurant)
Am See 18 Petersberg
4.2

China Restaurant Orchidee is most popular around 7 PM on Saturdays. Visitors usually stay 1-2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Burger restaurant)
Fulda Germany
4.0

HANS IM GLÜCK - FULDA Universitätsplatz is most popular around 6 PM on Saturdays. Visitors usually stay 1-1,5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
Friedrichstraße 18 36037 Fulda
4.1

Wirtshaus Schwarzer Hahn is most popular around 7 PM on Fridays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Sundays.

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 Fulda, 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.