Best restaurants Minamisuita (JP)

Popular restaurants and hours for eating in Minamisuita Japan : Secure a table before rush hour at the most popular restaurants.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated restaurants.

うどん処 松 (Japanese restaurant)
Japan 〒533-0023 Osaka, Higashiyodogawa Ward, Higashiawaji, 4 Chome−17−9
4.1

Visitors usually stay 30 min here. It's most quiet on Sundays.

老舗うどん店で修業を重ねた店主が提供する渾身のうどんをご堪能ください。

For more info visit the website or checkout Google Maps.

地魚屋台 江坂豊丸 (Japanese restaurant)
Japan 〒564-0053 Osaka, Suita, Enokicho, 1−38
3.5

地魚屋台 江坂豊丸 is most popular around 8 PM on Fridays. Visitors usually stay 1-2,5 hours here. It's most quiet on Mondays.

★全グランドメニューリニューアル! プレーンハイボール209円 アサヒスーパードライ生中319円

For more info visit the website or checkout Google Maps.

焼肉ホルモン さこちゃん (Restaurant)
Japan 〒532-0005 Osaka, Yodogawa Ward, Mikunihonmachi, 2 Chome−17−10
3.9

焼肉ホルモン さこちゃん is most popular around 6 PM on Thursdays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

焼肉 豊味園 江坂本店 (Japanese restaurant)
Japan 〒564-0051 Osaka, Suita, Toyotsucho, 13−1
4.0

焼肉 豊味園 江坂本店 is most popular around 7 PM on Fridays. Visitors usually stay 1-2 hours here. It's most quiet on Tuesdays.

美味しいお肉をゆったり空間で…

For more info visit the website or checkout Google Maps.

九州ラーメン一品香 (Ramen restaurant)
Japan 〒564-0051 Osaka, Suita, Toyotsucho, 17−19
3.8

Visitors usually stay 25 min here.

Google Maps

Yokohama-iekei-Ramen Kempeiya (Ramen restaurant)
1 Chome-16-7 Senriyamahigashi Suita, Osaka 565-0842 Japan
2.6

Yokohama-iekei-Ramen Kempeiya is most popular around 7 PM on Wednesdays. It's most quiet on Mondays.

ラーメン屋

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 Minamisuita, 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.