Best open restaurants Chōfugaoka near you

Nearby open restaurants and hours for food in Chōfugaoka 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.

Basara Oyster House - Chōfu (Restaurant)
108 1 Chome-26-12 Fuda Chofu, Tokyo 182-0024 Japan
4.5

Basara Oyster House - Chōfu is most popular around 7 PM on Wednesdays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

バーミヤン 狛江店 (Chinese restaurant)
5 Chome-17-30 Nakaizumi Komae, Tokyo 201-0012 Japan
3.4

バーミヤン 狛江店 is most popular around 7 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kōbeya Restaurant - Chofugaoka Store (Restaurant)
ビリアベルデ1F 2 Chome-15-1 Chofugaoka Chofu, Tokyo 182-0021 Japan
3.9

Kōbeya Restaurant - Chofugaoka Store is most popular around 6 PM on Sundays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Kohaku-no-toki (Ramen restaurant)
1 Chome-5-28 Suge Tama Ward, Kawasaki, Kanagawa 214-0001 Japan
4.4

Visitors usually stay 25 min here.

Google Maps

ジョナサン 調布駅前店 (Restaurant)
アルテサーノ調布 2F 4 Chome-16-1 Fuda Chofu, Tokyo 182-0024 Japan
3.5

ジョナサン 調布駅前店 is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Suzume no Oyado (Restaurant)
5 Chome-15-2 Jindaiji Motomachi Chofu, Tokyo 182-0017 Japan
4.0

Visitors usually stay up to 1 hour here.

Google Maps

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