Things to do on Friday afternoon in Guangzhou (CN)

Crowd levels and popular times for Guangzhou on Friday afternoon: 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
人民公园 (Park)
China Guangdong Province, Guangzhou, Yuexiu District 连新路8号
4.4

人民公园 is most popular around 8 PM on Sundays. It's most quiet on Mondays.

Google Maps

Panxi Restaurant (Chinese restaurant)
151 龙津西路 Liwan District, Guangzhou, Guangdong Province China 510150
3.9

Panxi Restaurant is most popular around 6 PM on Saturdays. It's most quiet on Wednesdays.

Google Maps

Guangzhou Restaurant (Chinese restaurant)
112 Tiyu E Rd 天河北 Tianhe District, Guangzhou, Guangdong Province China 510620
4.1

It's most quiet on Sundays.

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.

Wanguo Outlets (Shopping center)
40 Qianjin Rd Haizhu District, Guangzhou, Guangdong Province China 510240
4.2

Wanguo Outlets is most popular around 7 PM on Thursdays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

广州动漫星城广场 (Shopping center)
China Guangdong Province, Guangzhou, Yuexiu District 吉祥路1号 邮政编码: 510408
4.4

广州动漫星城广场 is most popular around 8 PM on Wednesdays. It's most quiet on Tuesdays.

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.