Best restaurants Sakata (JP)

Popular restaurants and hours for eating in Sakata 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.

浜焼き海鮮居酒屋 大庄水産 酒田店 (Japanese restaurant)
Japan 〒998-0023 Yamagata, Sakata, Saiwaicho, 2 Chome−2−3
3.7

浜焼き海鮮居酒屋 大庄水産 酒田店 is most popular around 7 PM on Fridays. Visitors usually stay 1.5-3 hours here. It's most quiet on Sundays.

全国の漁港から直送された鮮度抜群の魚介類を使った「浜焼き」「刺盛り」「寿司」などが楽しめます。漁師町にある「番屋」のような活気あふれる雰囲気で皆様をお迎えします。

For more info visit the website or checkout Google Maps.

Ramen Kagetsu Arashi (Ramen restaurant)
3 Chome-9-5 Kamegasaki Sakata, Yamagata 998-0842 Japan
3.6

Ramen Kagetsu Arashi 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.

Sawaguchi (Japanese restaurant)
2 Chome-2-3 Aioicho Sakata, Yamagata 998-0032 Japan
4.2

Sawaguchi is most popular around 7 PM on Saturdays. Visitors usually stay 45 min to 2.5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Hattori kitchen (Japanese restaurant)
6 Chome-8-21 Kamegasaki Sakata, Yamagata 998-0842 Japan
4.2

Hattori kitchen is most popular around 12 PM on Saturdays. It's most quiet on Wednesdays.

Google Maps

味工房 八月 (Japanese restaurant)
Japan 〒998-0043 Yamagata, Sakata, Honcho, 3 Chome−9−1
3.9

Visitors usually stay 1-3 hours here.

For more info visit the website or checkout Google Maps.

うなぎ割烹 玉勘 (Japanese restaurant)
Japan 〒998-0036 Yamagata, Sakata, Funabacho, 1 Chome−6−20
4.3

Visitors usually stay 45 min to 1,5 hr here.

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 Sakata, 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.