Best open cafes near you in Taipei on Friday afternoon (TW)

Best open cafes near you in Taipei Taiwan on Friday afternoon: Find your ideal quiet or bustling cafe nearby you.

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

AI
(Cafe)
No. 42號, Lane 321, Yangguang St, Neihu District
4.3

Journey Kaffe (Yangguang Store) is most popular around 12 PM on Thursdays. Visitors usually stay 1-3 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Coffee)
No. 42號, Chengdu Rd, Wanhua District Taipei City, Taiwan 108
4.0

Fong Da Coffee is most popular around 3 PM on Saturdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Tuesdays.

Google Maps

(Bakery)
No. 186-1, Section 1, Heping E Rd, Da’an District
4.1

Wenzhou Street Radish Pancake is most popular around 4 PM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Coffee)
No. 27號, Section 2, Zhongxiao E Rd, Zhongzheng District Taipei City, Taiwan 100
4.4

Simple Kaffa Huashan Flagship Store is most popular around 1 PM on Saturdays. Visitors usually stay 45 min to 1.5 hr here. It's most quiet on Mondays.

Google Maps

(Cafe)
No. 23號, Lane 16, Section 2, Zhongshan N Rd, Zhongshan District
4.2

Melange Café is most popular around 12 PM on Saturdays. Visitors usually stay 1-2 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Cafe)
10049, Taiwan, Taipei City, Zhongzheng District, Lane 9, Linsen N Rd, 13號
4.5

浪浪別哭(不能攜帶寵物) is most popular around 5 PM on Sundays. Visitors usually stay 2 hours here. It's most quiet on Tuesdays.

Google Maps



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