Best open restaurants Copenhagen near you
Nearby open restaurants and hours for food in Copenhagen 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.
Restaurant Tight (Restaurant)
Hyskenstræde 10 1207 København DenmarkRestaurant Tight is most popular around 7 PM on Saturdays. 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.
Vækst (Restaurant)
Sankt Peders Stræde 34 1453 København DenmarkVækst is most popular around 7 PM on Saturdays. Visitors usually stay 1,5-3 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Llama (Restaurant)
Lille Kongensgade 14 1074 København DenmarkLlama is most popular around 7 PM on Fridays. Visitors usually stay 1,5-3,5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Restaurant Puk (Restaurant)
Vandkunsten 8 1467 København DenmarkRestaurant Puk is most popular around 7 PM on Saturdays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Wagamama (Restaurant)
Tietgensgade 20 1704 København DenmarkWagamama is most popular around 7 PM on Fridays. Visitors usually stay 25 min to 1 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Madklubben Vesterbro (Restaurant)
Vesterbrogade 62 1620 Vesterbro DenmarkMadklubben Vesterbro is most popular around 7 PM on Saturdays. Visitors usually stay 1,5-3 hours here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Copenhagen, 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.