Best open restaurants Palaió Fáliro on Thursday evening near you
Nearby open restaurants and hours for food in Palaió Fáliro Greece on Thursday 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.
(Seafood restaurant)
Str. Makrigianni 52, Moschato 183 44Psaromezedes is most popular around 3 PM on Sundays. Visitors usually stay 20 min to 2 hr here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
Leof. Kalamakiou 19, Alimos 174 55O Mpakalis is most popular around 10 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Seafood restaurant)
Palaio Faliro GreecePsarades is most popular around 4 PM on Sundays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
Agias Sofias 93Κεμπαπτζίδικον Μπουρνοβαλια is most popular around 9 PM on Saturdays. Visitors usually stay 20 min to 2,5 hr here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
Ελευθερίου Βενιζέλου 210Sourikata is most popular around 10 PM on Saturdays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Mondays.
(Restaurant)
Skra 42To Giofyri is most popular around 8 PM on Fridays. Visitors usually stay 10 min to 1 hr here. It's most quiet on Tuesdays.
Special pages for Palaió Fáliro Greece
View on map
Map view and advanced filters
Nearby cities and areas
Also checkout restaurants in other cities and areas on Thursday evening nearby Palaió fáliro
Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Palaió Fáliro, Greece. 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.