Best restaurants Almada (PT)
Popular restaurants and hours for eating in Almada Portugal : 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.
Batikanos Cacilhas (Restaurant)
LG Alfredo Dinis 2800-677 Almada PortugalBatikanos Cacilhas is most popular around 6 PM on Wednesdays. It's most quiet on Thursdays.
Grelha Fina (Restaurant)
Lgo Antero de Quental 1 2805-092 Almada PortugalGrelha Fina is most popular around 1 PM on Fridays. Visitors usually stay 1-2 hours here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
PZA Pizza Alla Pala (Pizza restaurant)
R. Cândido dos Reis 116 2800-269 Almada PortugalPZA Pizza Alla Pala is most popular around 8 PM on Sundays. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
A Nau (Restaurant)
R. Cap. Leitão 70 2800-133 Almada PortugalA Nau is most popular around 1 PM on Sundays. Visitors usually stay 1-2 hours here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
Flôr do Minho (Restaurant)
R. José Carlos de Melo 176b 2810-239 Almada PortugalFlôr do Minho is most popular around 1 PM on Tuesdays. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
Espeteria Burger (Burger restaurant)
Av. António José Gomes 4 2805-085 Almada PortugalEspeteria Burger is most popular around 11 PM on Saturdays. It's most quiet on Mondays.
Restaurante brasileiro
Special pages for Almada Portugal
View on map
Map view and advanced filters
Heatmap for best restaurants almada (pt)
Nearby cities and areas
Also checkout restaurants in other cities and areas nearby Almada
Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Almada, Portugal. 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.