Fun things to do in Asaka (JP)

Best and most fun things to do in Asaka : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated things to do.

AI
(Ramen restaurant)
島田テナントビル 12-33 Honcho Wako, Saitama 351-0114 Japan
3.9

Noodle House Kishin is most popular around 12 PM on Fridays. Visitors usually stay 25 min here. It's most quiet on Tuesdays.

Google Maps

(Chinese restaurant)
1 Chome-1-6 Hatanaka Niiza, Saitama 352-0012 Japan
3.5

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

For more info visit the website or checkout Google Maps.

(Cafe)
1 Chome-7-36 弁財 朝霞市東 Saitama 351-0022 Japan
3.8

Komeda's Coffee is most popular around 3 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Other)
Japan 〒351-0014 Saitama, Asaka, Hizaoricho, 2 Chome−11−14
2.4

MILLION 1100 ASAKA is most popular around 6 PM on Saturdays. Visitors usually stay 1-4 hours here. It's most quiet on Wednesdays.

Google Maps

(Restaurant)
Asaka Japan
3.5

ガスト 朝霞城山店 is most popular around 6 PM on Sundays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Japanese restaurant)
Japan 〒351-0022 Saitama, Asaka, Higashibenzai, 1 Chome−4−12 Erba Asakadai, 4F
4.3

Shinobuya Asakadaiminamiguchiten is most popular around 7 PM on Fridays. Visitors usually stay 25 min to 3 hr 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 Asaka, 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.