Fun things to do Hsinchu on Monday evening (TW)

Popular days & hours to visit attractions in Hsinchu Taiwan on Monday evening.

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

AI
(Park)
No. 36, Lane 431, Zhongshan Rd, Yuying Village, North District
4.5

Tiangongtan Park is most popular around 7 PM on Wednesdays. Visitors usually stay up to 45 min here. It's most quiet on Mondays.

Google Maps

(Other)
No. 11號
3.8

McDonald's is most popular around 7 PM on Fridays. Visitors usually stay 10-45 min here. It's most quiet on Tuesdays.

Classic, long-running fast-food chain known for its burgers & fries.

For more info visit the website or checkout Google Maps.

(Other)
No. 1號
4.0

Burger King is most popular around 7 PM on Tuesdays. It's most quiet on Sundays.

漢堡王®始終抱持著提供給顧客合理的價格、高品質的產品、快速的服務以及乾淨的環境,目前為全球第二大的速食連鎖業,共超過17,000多個門市。漢堡王®的招牌華堡(Whopper),採用火烤以及豐富的內容,從1957年推出以來就成為高品質漢堡的代名詞!漢堡王於1990年在台灣成立第一家門市,並持續積極展店中。 漢堡王®華堡採用100%火烤純牛肉搭配口感紮實的5吋漢堡,肉片皆採全球統一的火烤設備在370度高溫下快速火烤,保留肉汁原味,多汁而不油膩,再加上新鮮番茄、洋蔥、酸黃瓜及爽口蔬菜,讓你每一口咬下都吃的到牛肉的火烤美味!

For more info visit the website or checkout Google Maps.

(Other)
12樓
4.1

Promenade-Ambassador Hotel Hsinchu is most popular around 6 PM on Fridays. Visitors usually stay 10 min to 2 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Other)
No. 112號
4.2

升一排骨 is most popular around 5 PM on Mondays. Visitors usually stay 20 min here. It's most quiet on Fridays.

Google Maps

(Other)
No. 186號, Linsen Rd, Fude Village, East District
4.4

PIZZA HUT is most popular around 5 PM on Sundays. Visitors usually stay 5 min to 1,5 hr here. It's most quiet on Wednesdays.

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.