Best restaurants Himeji (JP)

Popular restaurants and hours for eating in Himeji 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.

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Moguraya (Japanese restaurant)
13 Nishinikaimachi Himeji, Hyogo 670-0901 Japan
4.2

Moguraya is most popular around 6 PM on Saturdays. It's most quiet on Thursdays.

カツ丼、かつめし864円、エビカツ丼972円テイクアウトできます。インボイスナンバーは T1810859127966

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はっぴぃ待夢 (Restaurant)
Japan 〒670-0883 Hyogo, Himeji, Johokushinmachi, 1 Chome−12−1
4.3

はっぴぃ待夢 is most popular around 8 PM on Fridays. It's most quiet on Mondays.

姫路競馬場西隣で40年近く営業してるカラオケスナックです。令和3年10月に改装リニューアルオープンしました。手作り一品料理でおもてなし致します。チャージ料無し。 付き出し1品400円のみいただいてます。昼12時からオープン、23時入店まで24時クローズとなります。住宅街のためカラオケは 23時までとなります。昭和、平成、令和を生き抜いた78歳になる大ママとその娘がお出迎え致します。

For more info visit the website or checkout Google Maps.

Tohlee (Chinese restaurant)
Japan 〒670-0962 Hyogo, Himeji, Minamiekimaecho, 100 ホテル日航姫路二階
4.1

Tohlee is most popular around 7 PM on Fridays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Hakkenden Agaho (Japanese restaurant)
西木第一倉庫 1 Chome-35 Shikamaku Agahigashicho Himeji, Hyogo 672-8087 Japan
3.5

Hakkenden Agaho is most popular around 6 PM on Saturdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Kōhōseki (Chinese restaurant)
105 Kameimachi Himeji, Hyogo 670-0925 Japan
4.2

It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Doi Sushi (Sushi restaurant)
2 Chome-890 Shikamaku Imazaike Himeji, Hyogo 672-8079 Japan
3.8

Doi Sushi is most popular around 8 PM on Saturdays. It's most quiet on Mondays.

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 Himeji, 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.