Best open restaurants Saitama near you
Nearby open restaurants and hours for food in Saitama Japan : 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.
(Japanese restaurant)
1 Chome-17-6 DaimonchoTsukishima Monja Okoge Omiya is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
(Ramen restaurant)
6-1 HigashitakasagochoTorisoba Issa is most popular around 9 PM on Fridays. Visitors usually stay 20-45 min here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Japanese restaurant)
1-chome-2-25 BijogikitaSawamura is most popular around 12 PM on Sundays. Visitors usually stay 30 min here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
5 Chome-1010 MihashiYukemuriyokocho Omiya is most popular around 9 PM on Saturdays. Visitors usually stay 1,5-3,5 hours here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Japanese restaurant)
1 Chome-２８ Daimoncho Omiya Ward, Saitama, 330-0846 JapanIzumiya Honten is most popular around 8 PM on Fridays. Visitors usually stay up to 2 hours here. It's most quiet on Sundays.
(Sushi restaurant)
2 Chome-5-7 DaitakuboHAMA-SUSHI Urawa is most popular around 6 PM on Sundays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Special pages for Saitama Japan
View on map
Map view and advanced filters
Nearby cities and areas
Also checkout restaurants in other cities and areas nearby Saitama
Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Saitama, Japan. 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.