Best things to do Tainan (TW)

Popular days & hours to visit attractions in Tainan Taiwan .

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

Qiaotouhaitan Park (Park)
Anping District
4.2

Qiaotouhaitan Park is most popular around 5 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

Banyan Garden (Park)
成功大學光復校區 No. 1號, Dasyue Rd, East District Tainan City, Taiwan 701
4.6

Banyan Garden is most popular around 3 PM on Saturdays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Anping Salt God White Beach Park (Park)
No. 196, Gubao St, Anping District
4.0

Anping Salt God White Beach Park is most popular around 3 PM on Saturdays. Visitors usually stay up to 2 hours here. It's most quiet on Tuesdays.

Google Maps

Tainan Metropolitan Park (Park)
No. 62, Section 2, Wenhua Rd, Rende District
4.5

Tainan Metropolitan Park is most popular around 4 PM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Tainan Public Library (New Main Library) (Library)
No. 255號, Cambridge Ave, Yongkang District
4.6

Tainan Public Library (New Main Library) is most popular around 3 PM on Sundays. It's most quiet on Thursdays.

臺南市立圖書館新總館由台、荷建築師共同打造,針對不同年齡層規劃體驗空間,為一座兼具「生活休閒中心」、「數位學習中心」、「圖書資訊中心」、「研究資訊中心」與「文化資源中心」五大機能的城市公共圖書館,亦為永康區失智友善館三館

For more info visit the website or checkout Google Maps.

Pingshi Park (Park)
No. 553號小東路 Yongkang District
4.3

Pingshi Park is most popular around 5 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

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 Tainan, 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.