Best open restaurants Kita-ku near you

Nearby open restaurants and hours for food in Kita-ku 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.

Yang 2 (Chinese restaurant)
3 Chome-25-5 Nishiikebukuro Toshima City, Tokyo 171-0021 Japan
3.7

Yang 2 is most popular around 7 PM on Fridays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Saizeriya (Restaurant)
サングロウビル 2F 1 Chome-10-8 Nishiikebukuro Toshima City, Tokyo 171-0021 Japan
3.6

Saizeriya is most popular around 8 PM on Wednesdays. It's most quiet on Tuesdays.

池袋駅から徒歩3分のイタリアンワイン&カフェレストラン サイゼリヤ。毎日の暮らしの豊かさを食を通して提案いたします。

For more info visit the website or checkout Google Maps.

Ramen Honda (Ramen restaurant)
1 Chome-22-6 Higashijujo Kita City, Tokyo 114-0001 Japan
4.0

Visitors usually stay 30 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Ikoi (Japanese restaurant)
1 Chome-3-8 Akabane Kita City, Tokyo 115-0045 Japan
3.7

Ikoi is most popular around 7 PM on Fridays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Wednesdays.

Google Maps

Zakuro (Restaurant)
スタジオ谷中 1 階 3 Chome-13-2 Nishinippori Arakawa City, Tokyo 116-0013 Japan
4.1

Zakuro is most popular around 1 PM on Saturdays. It's most quiet on Tuesdays.

トルコ、イラン、ウズベキスタン料理レストラン。 トルコ雑貨の輸入販売。

For more info visit the website or checkout Google Maps.

Hulu-lu (Ramen restaurant)
2 Chome-60-7 Ikebukuro Toshima City, Tokyo 170-0014 Japan
4.2

Hulu-lu is most popular around 7 PM on Fridays. Visitors usually stay 30 min to 1 hr here. 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 Kita-ku, 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.