Best restaurants Callao (PE)

Popular restaurants and hours for eating in Callao Peru : 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.

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Hikari San Miguel (Restaurant)
Av. La Mar 2339 San Miguel 15088 Peru
4.0

Hikari San Miguel is most popular around 9 PM on Fridays. Visitors usually stay 45 min to 1.5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

El Tronco (Restaurant)
Avenida La Marina, 3491 Maranga San Miguel Lima 15087 Peru
4.1

El Tronco is most popular around 2 PM on Saturdays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Pardos Chicken (Restaurant)
Plaza San Miguel Av. la Marina 2000 San Miguel 15088 Peru
4.3

Pardos Chicken is most popular around 3 PM on Saturdays. Visitors usually stay 1-1,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

RESTAURANTE QUE RICO (Restaurant)
Av. Universitaria 860 San Miguel 15086 Peru
3.7

RESTAURANTE QUE RICO is most popular around 11 PM on Saturdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Mondays.

Restaurante Especializado en Pollo a la brasa y Caldo de Gallina

For more info visit the website or checkout Google Maps.

La Caleta De La Punta (Restaurant)
Malecón Pardo 180 La Punta 07021 Peru
4.4

La Caleta De La Punta is most popular around 3 PM on Sundays. Visitors usually stay 1-1.5 hours here. It's most quiet on Wednesdays.

Google Maps

Don Giuseppe (Restaurant)
Av. Miguel Grau 30 La Punta 07021 Peru
4.4

Don Giuseppe is most popular around 10 AM on Sundays. It's most quiet on Tuesdays.

Google Maps

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