Best open restaurants Palencia on Friday evening near you
Nearby open restaurants and hours for food in Palencia Spain 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.
(Restaurant)
Av. Derechos Humanos, 3 34003 Palencia SpainMoesia is most popular around 9 PM on Saturdays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
C. San Marcos, 12 34001 Palencia SpainRestaurante La Traserilla is most popular around 8 PM on Saturdays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
Calle Ignacio Martínez de Azcoitia, 11D(pasaje C. Valentín Calderón, 8 (pasaje 34001 Palencia SpainVisitors usually stay up to 1,5 hours here.
Amplia terraza de verano e invierno y 2 comedores
For more info visit the website or checkout Google Maps.
(Japanese restaurant)
C. la Puebla, 15Sibuya Urban Sushi Bar is most popular around 10 PM on Saturdays. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
P.º del Salón, 25 34002 Palencia SpainRestaurante Ajo de Sopas is most popular around 9 PM on Saturdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
C. Marqués de Albaida, nº9 34003 Palencia SpainGastrobar Donde Dani is most popular around 9 PM on Saturdays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Wednesdays.
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 Palencia, Spain. 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.