Best restaurants Puigcerdá (ES)

Popular restaurants and hours for eating in Puigcerdá Spain : 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.

Bon profit cerdanya (Restaurant)
Carrer Dr. Piguillem, 4 17520 Puigcerdà Girona Spain
4.4

Bon profit cerdanya is most popular around 2 PM on Sundays. Visitors usually stay 1,5 hours here. It's most quiet on Tuesdays.

Google Maps

Taraxacum (Burger restaurant)
Carrer Major, 58 17520 Puigcerdà Girona Spain
4.6

Taraxacum is most popular around 9 PM on Saturdays. Visitors usually stay 1-1,5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Restaurant Bar 4 camins (Restaurant)
Cn 152, local bajos 3 17520 Puigcerdà Girona Spain
4.0

Restaurant Bar 4 camins is most popular around 9 AM on Saturdays. It's most quiet on Mondays.

Bar restaurante muy familiar !!!! Comida casolana a todas hs, en especial los desayunos!!!🤩

Google Maps

Restaurant O Meigallo (Restaurant)
Carrer Notari Ortodó, 2, 4, Bajos 17520 Puigcerdà Girona Spain
4.1

Restaurant O Meigallo is most popular around 10 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.

Sushiohh! (Japanese restaurant)
Carrer de les Escoles Pies, 3 17520 Puigcerdà Girona Spain
3.0

Sushiohh! is most popular around 8 PM on Saturdays. It's most quiet on Mondays.

Google Maps

LA LLESCA - BAR - RESTAURANT - PUIGCERDÀ (Restaurant)
Carrer Higini de Rivera, 2 17520 Puigcerdà Girona Spain
4.4

LA LLESCA - BAR - RESTAURANT - PUIGCERDÀ is most popular around 10 AM on Fridays. It's most quiet on Mondays.

Google Maps

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