Things to do in Guangzhou (CN)

Crowd levels and popular times for Guangzhou : 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.

Map
新联肠粉店 (Chinese restaurant)
China Guangdong Province, Guangzhou, Liwan District 多宝路88号 邮政编码: 510150
4.2

新联肠粉店 is most popular around 3 PM on Saturdays. It's most quiet on Mondays.

Google Maps

Aeon Supermarket (Shopping center)
57H7+WH8 Yungang Rd Baiyun, Guangzhou, Guangdong Province China, 510422
4.8

Aeon Supermarket is most popular around 9 PM on Thursdays. It's most quiet on Mondays.

Google Maps

Youlian Restaurant (Chinese restaurant)
163 杉木栏路 Liwan District, Guangzhou, Guangdong Province China 510130
4.2

Youlian Restaurant is most popular around 7 PM on Saturdays. It's most quiet on Thursdays.

Google Maps

Grandbuy Department Store (Shopping center)
200 Tianhe Rd Tianhe District, Guangzhou, Guangdong Province China 510620
4.1

It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Guangzhou Global International Trade Center Buyun World (Shopping center)
28 Zhanxi Rd Liwan District, Guangzhou, Guangdong Province China 510499
4.3

Guangzhou Global International Trade Center Buyun World is most popular around 10 AM on Tuesdays. Visitors usually stay 30 min to 1.5 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Underground Shopping Mall (Shopping center)
W9P8+MCJ Dadong Rd 市桥 Panyu District, Guangzhou, Guangdong Province China, 511499
3.5

Underground Shopping Mall is most popular around 10 AM on Saturdays. It's most quiet on Thursdays.

Google Maps

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