Best open shops & malls Kyōto (JP) near you

Popular open shops and malls in Kyōto Japan : Avoid busy hours by visiting shopping malls during the quiet days as indicated below.

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

AI
(Shopping)
19 Tachiuri Higashimachi
4.4

Fukujuen Kyoto Main Store is most popular around 3 PM on Tuesdays. Visitors usually stay 1-4 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

(Apparel)
374 Naramonocho Shimogyo Ward, Kyoto, 600-8004 Japan
3.4

BAPE STORE® KYOTO is most popular around 3 PM on Tuesdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Shopping)
18-1 Shimogamo Higashihonmachi Sakyo Ward, Kyoto, 606-0863 Japan
4.4

Mitamaya is most popular around 12 PM on Mondays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Shopping)
3.8



Kyoto's first * VEGAN BREAKFAST or VEGAN MORNING The CHAKRA completely authentic taste THE BEST BENGALI CUISINE AT KYOTO Vegan, vegetarian, halal, gluten free, no onions, no garlic available (no onions and no garlic guests call me 30 minutes earlier) We Don’t Use Beef and Pork. Prayer room ok. Your satisfaction is my satisfaction 🙏 OPEN FOR WHOLE DAY My dearest guest, In my restaurant, many kinds of people come and use the restroom without asking and then try to leave.

For more info visit the website or checkout Google Maps.

(Shopping)
569-2 Kaiyacho Nakagyo Ward, Kyoto, 604-8126 Japan
4.4
(Shopping)
12-1 Koyamanakanokawacho
3.6

Daiso is most popular around 4 PM on Sundays. Visitors usually stay 15 min here. It's most quiet on Fridays.

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 Kyōto, 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.