Best shopping malls Taoyuan District (TW)

Popular shopping days & hours in Taoyuan District 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.

Taoyuan Night Market (Market)
330, Taiwan, Taoyuan City, Taoyuan District, Zhongzheng Rd, 與號 北埔路交叉口
4.0

Taoyuan Night Market is most popular around 8 PM on Saturdays. Visitors usually stay 15 min to 1 hr here. It's most quiet on Wednesdays.

Google Maps

Tonlin Plaza (Shopping center)
No. 61號, Zhongzheng Rd, Taoyuan District
4.2

Tonlin Plaza is most popular around 2 PM on Sundays. Visitors usually stay 45 min to 3 hr here. It's most quiet on Tuesdays.

彷彿走在東京街頭 全台最美表參道風購物中心 美麗 ╳ 時尚 ╳ 饗樂 ╳ 藝文 全新概念店

For more info visit the website or checkout Google Maps.

巧味便當 (Shopping)
330, Taiwan, Taoyuan City, Taoyuan District, Guoji 1st Rd, 123號
4.3

巧味便當 is most popular around 6 PM on Fridays. It's most quiet on Thursdays.

Google Maps

日青方好 GA Flower Cafe (Shopping)
No. 118號, Daxing Rd, Taoyuan District
4.5

日青方好 GA Flower Cafe is most popular around 3 PM on Tuesdays. It's most quiet on Saturdays.

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For more info visit the website or checkout Google Maps.

大俗賣大賣場 (Shopping)
330, Taiwan, Taoyuan City, Taoyuan District, Baoshan St, 298號
4.0

大俗賣大賣場 is most popular around 3 PM on Sundays. Visitors usually stay 20 min here. It's most quiet on Wednesdays.

Google Maps

85°C Yingge Yingtao Shop (Shopping)
No. 656號, Yingtao Rd, Yingge District
3.9

85°C Yingge Yingtao Shop is most popular around 7 PM on Fridays. Visitors usually stay 15 min here. It's most quiet on Mondays.

由台灣起家的連鎖烘焙坊/咖啡廳,供應咖啡、茶飲、各國甜點和麵包。

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 Taoyuan District, 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.