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.
(Breakfast restaurant)
No. 6, Dongshan St, Dongshan Village, East DistrictGrandma's breakfast and noodles is most popular around 12 PM on Wednesdays. Visitors usually stay 25 min here. It's most quiet on Fridays.
For more info visit the website or checkout Google Maps.
(Cafe)
No. 180號, Linsen Rd, Fude Village, East DistrictInk Coffee is most popular around 6 PM on Saturdays. Visitors usually stay 45 min to 3,5 hr 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, Jungong Village, East DistrictSTARBUCKS 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, Shuitian Village, North DistrictSTARBUCKS Hsinchu Beida Shop is most popular around 2 PM on Fridays. Visitors usually stay 10 min to 2 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Cafe)
No. 162號, Beida Rd, Shuitian Village, North DistrictLouisa coffee is most popular around 2 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)
300, Taiwan, Hsinchu City, East District, Bo'ai St, 111號 1樓、2樓星巴克 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.
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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.