Best open restaurants Adachi near you

Nearby open restaurants and hours for food in Adachi 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.

AI
(Japanese restaurant)
2 Chome-16-19 Shimane
3.8

Sushi & Shabu-Shabu Yuzu-An is most popular around 7 PM on Saturdays. Visitors usually stay 2 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Ramen restaurant)
5 Chome-5-15 Aoi Adachi City, Tokyo 121-0012 Japan
3.9

Kurumaya Ramen is most popular around 1 PM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Restaurant)
7 Chome-4-6 Nishiarai
3.7

Tanaka is most popular around 1 PM on Saturdays. Visitors usually stay 45 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Ramen restaurant)
5 Chome-28-17 Kameari 葛飾区 Katsushika City, Tokyo 125-0061 Japan
4.2

Michi is most popular around 12 PM on Sundays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
アコール北千住 205 41-5 Senjuakebonocho Adachi City, Tokyo 120-0023 Japan
3.5

Coco's Restaurant is most popular around 7 PM on Sundays. 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.

(Japanese restaurant)
Japan 〒123-0844 Tokyo, Adachi City, Okino, 2 Chome−30−22
3.6

Katsuan Adachi Kohoku is most popular around 8 PM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

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