Best open restaurants Rio de Janeiro near you

Nearby open restaurants and hours for food in Rio de Janeiro Brazil : 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
(Restaurant)
Praça Gen. Tibúrcio, S\/N - Urca
4.6

Terra Brasilis is most popular around 2 PM on Sundays. 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.

(Restaurant)
Av. Quintino Bocaiúva, 353 - São Francisco
4.5

Restaurante À Mineira Niterói is most popular around 2 PM on Sundays. Visitors usually stay 1-3.5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Seafood restaurant)
Rua Marquês de Caxias, 288 - 5,6 e 7
4.6

Caneco Gelado do Mario is most popular around 2 PM on Saturdays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Restaurant)
Av. Dom Hélder Câmara, 9991 - Cascadura
4.1

Restaurante Graça da Vila is most popular around 2 PM on Sundays. Visitors usually stay 30 min to 3 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
Av. Visconde do Rio Branco, 655 - Centro
4.6

Botequim Arretado - Restaurante Comida Típica Nordestina is most popular around 2 PM on Sundays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Tuesdays.

Google Maps

(Restaurant)
Av. Armando Lombardi, 155 - Barra da Tijuca
4.1

Parmê is most popular around 8 PM on Saturdays. Visitors usually stay 30 min to 3 hr here. 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 Rio de Janeiro, 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.