Best open restaurants Daitōchō near you

Nearby open restaurants and hours for food in Daitōchō 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
Marugen Ramen (Ramen restaurant)
33-29 Wakitacho Kadoma, Osaka 571-0011 Japan
3.8

Marugen Ramen is most popular around 7 PM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Ramen Sou Omoshiroi Hou e Suminoe (Ramen restaurant)
Japan 〒574-0046 Osaka, Daito, Akai, 1 Chome−13−1 ポップタウン住道一番館
4.0

Visitors usually stay up to 2 hours here.

For more info visit the website or checkout Google Maps.

Yumeyatai Daito (Ramen restaurant)
2 Chome-1-21 Minamishinden Daito, Osaka 574-0023 Japan
3.6

Yumeyatai Daito is most popular around 9 PM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Kaitenzushitotogindaitoten (Sushi restaurant)
3 Chome-5-9 Akai Daito, Osaka 574-0046 Japan
4.0

Kaitenzushitotogindaitoten is most popular around 7 PM on Sundays. Visitors usually stay 30 min to 1 hr here.

For more info visit the website or checkout Google Maps.

Marusho Gyoza Honten (Chinese restaurant)
1-35 Misumicho Daito, Osaka 574-0027 Japan
4.1

Visitors usually stay up to 2.5 hours here.

For more info visit the website or checkout Google Maps.

Santen Daito (Japanese restaurant)
1-11 Shinden Honmachi Daito, Osaka 574-0055 Japan
3.6

Santen Daito is most popular around 7 PM on Saturdays. Visitors usually stay 20 min here. It's most quiet on Thursdays.

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 Daitōchō, 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.