Best open restaurants Natal on Friday evening near you

Nearby open restaurants and hours for food in Natal Brazil on Friday evening: 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
(Sushi restaurant)
Av. Nevaldo Rocha, 3775 - Tirol
4.3

Irachai Sushi Shop is most popular around 8 PM on Fridays. Visitors usually stay 5 min to 2 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Pizza restaurant)
Rua Lauro Medeiros
4.5

Mormaço Papo Pizza e Petiscos is most popular around 8 PM on Saturdays. Visitors usually stay 1,5-4 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
Av. Governador Tarcísio de Vasconcelos Maia, 200 - Parque das Colinas
4.3

Integra Candelária is most popular around 8 PM on Saturdays. Visitors usually stay 1,5-4 hours here. It's most quiet on Wednesdays.

Google Maps

(Restaurant)
Av. Romualdo Galvão, 2383 - Lagoa Nova
4.7

Visitors usually stay 45 min to 3 hr here.

Google Maps

(Restaurant)
Av. Dr. João Medeiros Filho, 4600 - Redinha
4.5

Espetinho do Lucas - Zona Norte is most popular around 9 PM on Saturdays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Mondays.

Google Maps

(Burger restaurant)
Av. Romualdo Galvão, 245 - Tirol
4.9

Visitors usually stay 45 min to 3 hr here.

Casa super aconchegante, com um excelente atendimento e um cardápio ideal para confraternizar com a família, amigos ou simplesmente matar a fome. Sanduíches com hambúrguer artesanal bovino de frango, petiscos, sucos, vitaminas, shakes, chopp artesanal, cervejas, drinks.

Google Maps



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