Best open cafes near you in Hsinchu on Thursday afternoon (TW)

Best open cafes near you in Hsinchu Taiwan on Thursday 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. 180號, Linsen Rd, East District
4.6

Ink Coffee is most popular around 7 PM on Fridays. Visitors usually stay 1-3 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Coffee)
No. 406號, Section 2, Guangfu Rd, East District
4.2

STARBUCKS COFFEE is most popular around 6 PM on Fridays. Visitors usually stay 15 min to 2 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Cafe)
No. 109號, Beida Rd, North District Hsinchu City, Taiwan 300
4.2

STARBUCKS Hsinchu Beida Shop is most popular around 12 PM on Fridays. Visitors usually stay 10 min to 1,5 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Cafe)
No. 162號, Beida Rd, North District
3.7

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

For more info visit the website or checkout Google Maps.

(Cafe)
No. 91-2號, Nanya St, North District
4.2

STARBUCKS Hsinchu Taroko Square Shop is most popular around 2 PM on Sundays. Visitors usually stay 10 min to 1 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Cafe)
300, Taiwan, Hsinchu City, East District, Bo'ai St, 111號 1樓、2樓
4.5

星巴克 新竹動物園門市 is most popular around 10 AM on Saturdays. Visitors usually stay 20 min to 2 hr here. It's most quiet on Mondays.

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 Hsinchu, 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.