Best restaurants Mukōchō (JP)

Popular restaurants and hours for eating in Mukōchō 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.

Azuma Katagihara (Restaurant)
20-1 Katagiharasatonokaitocho Nishikyo Ward, Kyoto, 615-8143 Japan
3.8

Azuma Katagihara is most popular around 12 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kirinen (Chinese restaurant)
Higashitanakase-5-54 Teradocho Muko, Kyoto 617-0002 Japan
4.2

Kirinen is most popular around 12 PM on Saturdays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Restaurant MUKU (Restaurant)
358-1 Oharano Kamizatominaminocho Nishikyo Ward, Kyoto, 610-1123 Japan
4.2

Restaurant MUKU is most popular around 12 PM on Wednesdays. Visitors usually stay 45 min to 1 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Rosen (Chinese restaurant)
14-35 Katagiharahiratacho Nishikyo Ward, Kyoto, 615-8141 Japan
4.4

Rosen is most popular around 12 PM on Saturdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

大衆酒場寿海本店 (Japanese restaurant)
Japan 〒617-0824 Kyoto, Nagaokakyo, Tenjin, 1 Chome−7−29
3.8

大衆酒場寿海本店 is most popular around 7 PM on Saturdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

魚彩ダイニングまったく (Japanese restaurant)
Japan 〒601-8382 Kyoto, Minami Ward, Kisshoin Ishihara Kamikawaracho, 46-6
4.5



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 Mukōchō, 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.