Best open restaurants Aarhus near you

Nearby open restaurants and hours for food in Aarhus Denmark : 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 King (Burger restaurant)
Banegårdspladsen 10, Aarhus, Denmark
3.6

Burger King is most popular around 3 PM on Saturdays. Visitors usually stay 25 min to 1 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Bone's Aarhus (Restaurant)
Åboulevarden 20, Aarhus, Denmark
4.1

Bone's Aarhus is most popular around 7 PM on Fridays. Visitors usually stay 1,5 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Jensens Bøfhus (Restaurant)
Rosenkrantzgade 23 8000 Aarhus Denmark
3.8

Visitors usually stay up to 3,5 hours here.

For more info visit the website or checkout Google Maps.

Madklubben Århus (Restaurant)
Hack Kampmanns Plads 1, 3 8000 Aarhus C Denmark
4.4

Madklubben Århus is most popular around 6 PM on Saturdays. Visitors usually stay 2-3,5 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Piccolina (Pizzeria) (Italian restaurant)
Skolegyde 8, 8000 Aarhus, Denmark
4.7

Piccolina (Pizzeria) is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Café Rømer (Restaurant)
Åboulevarden 50, 8000 Aarhus Centrum, Denmark
4.1

Café Rømer is most popular around 1 PM on Saturdays. Visitors usually stay 1,5-3,5 hours here. It's most quiet on Wednesdays.

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 Aarhus, Denmark. 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.