Fun things to do on Friday afternoon in Guangzhou (CN)

Best and most fun things to do in 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.

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 Saturdays. It's most quiet on Mondays.

Google Maps

Panxi Restaurant (Chinese restaurant)
151 Longjin W Rd Liwan District, Guangzhou, Guangdong Province China 510150
4.0

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

Google Maps

G.T. Land Plaza (Shopping center)
85 Huacheng Blvd Tianhe District, Guangzhou, Guangdong Province China 510623
4.2

G.T. Land Plaza is most popular around 7 PM on Saturdays. Visitors usually stay up to 2.5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Starbucks Coffee (Coffee)
China Guangdong Province, Guangzhou, Liwan District, Shamian Ave, 50号 -52号 邮政编码: 510130
4.2

It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

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

Guangzhou Restaurant is most popular around 5 PM on Fridays. It's most quiet on Tuesdays.

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 Jixiang Rd, 1号 邮政编码: 510408
4.5

广州动漫星城广场 is most popular around 9 PM on Saturdays. Visitors usually stay up to 2 hours here. 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.