Fun things to do in Taipei (TW)
Best and most fun things to do in Taipei : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated things to do.
(Shopping)
No. 8號, Section 3, Civic Blvd, Zhongzheng DistrictGuang Hua Digital Plaza is most popular around 4 PM on Saturdays. Visitors usually stay 30 min to 4 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Other)
No. 211Lungshan Temple is most popular around 5 PM on Saturdays. It's most quiet on Mondays.
This well-known temple originally built in the 1700s honors both Buddhist & Taoist deities.
For more info visit the website or checkout Google Maps.
(Shopping center)
No. 1號, Section 1, Chengde Rd, Datong DistrictQ Square Mall is most popular around 6 PM on Saturdays. Visitors usually stay 45 min to 3,5 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Park)
No. 1號, Section 2, Xinsheng S Rd, Da’an DistrictDaan Forest Park is most popular around 3 PM on Sundays. Visitors usually stay up to 2,5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Tourist destination)
89樓 No. 7號, Section 5, Xinyi Rd, Xinyi District Taipei City, Taiwan 110Taipei 101 Observatory is most popular around 5 PM on Saturdays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Mondays.
(Shopping center)
No. 2號, Section 3, Civic Blvd, Zhongzheng DistrictSyntrend is most popular around 4 PM on Saturdays. Visitors usually stay 45 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 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.