Best open restaurants Suginami-ku near you

Nearby open restaurants and hours for food in Suginami-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.

Hatsune (Ramen restaurant)
3 Chome-11-9 Nishiogiminami Suginami City, Tokyo 167-0053 Japan
4.3

Visitors usually stay 25 min to 1 hr here.

Google Maps

Edomaru (Japanese restaurant)
5 Chome-32-4 Koenjiminami Suginami City, Tokyo 166-0003 Japan
3.9

Edomaru is most popular around 7 AM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Sundays.

Google Maps

Baan-Esan (Thai restaurant)
4 Chome-25-8 Koenjiminami Suginami City, Tokyo 166-0003 Japan
4.1

Baan-Esan is most popular around 1 PM on Saturdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

The Original Pancake House (Restaurant)
マルイトクラス吉祥寺 1F 1 Chome-7-1 Kichijoji Minamicho Musashino, Tokyo 180-8552 Japan
3.9

Visitors usually stay 30 min to 1,5 hr here.

For more info visit the website or checkout Google Maps.

Ippudo Kichijoji (Ramen restaurant)
古城会館 1F 1 Chome-10-4 Kichijoji Honcho Musashino, Tokyo 180-0004 Japan
3.9

Ippudo Kichijoji is most popular around 12 PM on Saturdays. It's most quiet on Tuesdays.

※30分前がラストオーダーとなります。 Last order: 30 min before closing. 世界へすする喜びを。1985年福岡・大名で創業、なめらかなスープが特徴のとんこつラーメン専門店。

For more info visit the website or checkout Google Maps.

Nagahama ramen setagaya (Ramen restaurant)
4 Chome-30-8 Kamikitazawa Setagaya City, Tokyo 156-0057 Japan
3.8

Nagahama ramen setagaya is most popular around 1 PM on Saturdays. Visitors usually stay 20 min here. It's most quiet on Sundays.

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 Suginami-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.