Best shopping malls Kaohsiung (TW)

Popular shopping days & hours in Kaohsiung Taiwan : Avoid the 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.

Louisa Coffee 路易莎咖啡(自由至聖店) (Shopping)
813, Taiwan, Kaohsiung City, Zuoying District, Ziyou 2nd Rd, 141號
4.1

Visitors usually stay 25 min to 2 hr here.

For more info visit the website or checkout Google Maps.

南台灣生鮮超市 (Shopping)
812, Taiwan, Kaohsiung City, Siaogang District, Hongping Rd, 136號
4.2

南台灣生鮮超市 is most popular around 4 PM on Sundays. Visitors usually stay 15 min here. It's most quiet on Thursdays.

Google Maps

荷俚特咖啡 (Shopping)
800, Taiwan, Kaohsiung City, Xinxing District, Zhongshan 1st Rd, 22之1號
4.1

荷俚特咖啡 is most popular around 1 PM on Thursdays. Visitors usually stay 1,5-3 hours here. It's most quiet on Mondays.

進口多國咖啡豆,自家烘焙,咖啡1杯100元可享無限續杯哦!還有CP值超高的簡餐,親切的服務,親民的價格。 無論是家庭聚會,商業研討都是絕佳的聚會場所。 大器的老闆還準備高貴的骨瓷咖啡杯要來送給會員,歡迎您的光臨呦

For more info visit the website or checkout Google Maps.

方春烤鴨 (Shopping)
802, Taiwan, Kaohsiung City, Lingya District, Zhengyan Rd, 46號
4.2

方春烤鴨 is most popular around 4 PM on Saturdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

御香廚快餐創始店(黃興店) (Shopping)
807, Taiwan, Kaohsiung City, Sanmin District, Huangxing Rd, 209號
4.1

御香廚快餐創始店(黃興店) is most popular around 11 AM on Saturdays. It's most quiet on Thursdays.

本店創立於1990年,商標經圖文註冊,侵權必究。

Google Maps

FOUR U Coffee (Shopping)
807, Taiwan, Kaohsiung City, Sanmin District, 博愛一路195號
4.3

FOUR U Coffee is most popular around 3 PM on Fridays. It's most quiet on Sundays.

☕ 選用台灣在地食材、當令新鮮水果製作。 在變遷快速的時代,成為你喘息的空間,來杯咖啡,盡情享受屬於你的 Me Time。

Google Maps

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