Best restaurants Lima (PE)
Popular restaurants and hours for eating in Lima Peru : Secure a table before rush hour at the most popular restaurants.
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expensive, or
highly rated restaurants.
Osaka (Restaurant)
Felipe Av. Pardo y Aliaga 660 San Isidro 15073 PeruOsaka is most popular around 2 PM on Thursdays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Sundays.
Cocina Nikkei
For more info visit the website or checkout Google Maps.
Astrid y Gastón (Restaurant)
Av. Paz Soldán 290 San Isidro 15073 PeruAstrid y Gastón is most popular around 9 PM on Wednesdays. Visitors usually stay 1,5-3 hours here. It's most quiet on Sundays.
Lo mejor de la distancia es el reencuentro.
Las formas cambian, pero el espíritu se mantiene: seguimos enamorados de la cocina peruana. Hoy, más que nunca, queremos compartir ese sentimiento contigo.
For more info visit the website or checkout Google Maps.
Maido (Restaurant)
Ca. San Martín No. 399 Miraflores 15074 PeruMaido is most popular around 6 PM on Saturdays. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
Central (Restaurant)
Av. Pedro de Osma 301 Barranco 15063 PeruLa Tranquera (Restaurant)
Av. José Pardo 285 Miraflores 15074 PeruLa Tranquera is most popular around 9 PM on Fridays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Mondays.
Somos La Tranquera, somos famosos por nuestras carnes. Más que el sabor, la experiencia.
For more info visit the website or checkout Google Maps.
TITI (Chinese restaurant)
Avenida Javier Prado Este, 1212 San Isidro Lima 15036 PeruTITI is most popular around 2 PM on Sundays. Visitors usually stay 1-2 hours here. It's most quiet on Wednesdays.
𝑪𝒐𝒏𝒕𝒊𝒏𝒖𝒂𝒏𝒅𝒐 𝒖𝒏 𝒍𝒆𝒈𝒂𝒅𝒐 𝒅𝒆𝒔𝒅𝒆 1956. 🇵🇪🇨🇳
公弟
司弟
For more info visit the website or checkout Google Maps.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Lima, 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.