Best open restaurants Takatsuki on Friday evening near you

Nearby open restaurants and hours for food in Takatsuki Japan on Friday evening: 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)
4.5

Izakaya Stand B is most popular around 7 PM on Fridays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Japanese restaurant)
5 Chome-1-6 Otsukacho
3.7

Marugame Seimen Takatsuki is most popular around 1 PM on Sundays. Visitors usually stay 30 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Ramen restaurant)
18-1 Kitasonomachi
3.9

Saishoku Ramen Kinsei Takatsuki Honten is most popular around 7 PM on Tuesdays. Visitors usually stay 25 min to 2,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Ramen restaurant)
20-8 Takatsukimachi
4.1

Ramen Uroko is most popular around 8 PM on Fridays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Japanese restaurant)
2 Chome-8-10 Johokucho
4.1

Kinnobutatakatsukihatchonawateten is most popular around 6 PM on Saturdays. Visitors usually stay 2 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Ramen restaurant)
15-16 Kasugacho
3.7

Kyotokitashirakawaramenkairikiya Takatsukiten is most popular around 1 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.



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