Best restaurants Sayama (JP)

Popular restaurants and hours for eating in Sayama 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.

北海道らーめん 月形 (Ramen restaurant)
Japan 〒358-0003 Saitama, Iruma, Toyooka, 1 Chome−12−20
3.3

北海道らーめん 月形 is most popular around 12 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Tuesdays.

Google Maps

Fukurou (Ramen restaurant)
4 Chome-5-29 Hirosehigashi Sayama, Saitama 350-1320 Japan
4.2

Fukurou is most popular around 8 PM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Mondays.

Google Maps

Yakitorinishidaya Irumashiten (Japanese restaurant)
パサ・デ・ヒロ 1階B号室 1 Chome-160-14 Koyodai Iruma, Saitama 358-0001 Japan
3.8

Yakitorinishidaya Irumashiten is most popular around 6 PM on Sundays. It's most quiet on Thursdays.

にしだ屋入間市店は西武池袋線入間市駅南口より徒歩1分。スピードをモットーに「地域に愛される店」をめざす大衆酒場です。 やきとり・やきとん、名物の煮込みなどの定番メニューから、旬の野菜・鮮魚を使った入間市店オリジナルのおすすめメニューなどをお手頃価格でご提供! こだわりのサワーや焼酎・日本酒なども豊富にご用意し、皆様の1日の疲れを癒し、明日の活力を充電できるアットホームな場所を目指しています。 にしだ屋入間市店は祝前日も16時~24時で営業しております。

For more info visit the website or checkout Google Maps.

手打そば甚作 (Restaurant)
Japan 〒350-1305 Saitama, Sayama, Irumagawa, 1430-162
4.1

手打そば甚作 is most popular around 12 PM on Mondays. Visitors usually stay 45 min here. It's most quiet on Fridays.

Google Maps

タンタンメン 幸村 (Ramen restaurant)
Japan 〒358-0003 Saitama, Iruma, Toyooka, 5 Chome−4
3.9

タンタンメン 幸村 is most popular around 11 PM on Fridays. It's most quiet on Mondays.

Google Maps

Shōya (Japanese restaurant)
Japan 〒358-0003 Saitama, Iruma, Toyooka, 15 15 1-15-14 入間第1ホテル
3.5

Shōya is most popular around 7 PM on Fridays. It's most quiet on Mondays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Sayama, 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.