Fun things to do in Beijing (CN)

Best and most fun things to do in Beijing : 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.

Li Qun Roast Duck Restaurant (Restaurant)
11 N Xiangfeng Hu Tong Dongcheng, Beijing China 100051
4.2

Li Qun Roast Duck Restaurant is most popular around 6 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Beijing Da Dong (Chinese restaurant)
China Beijing, Dongcheng, Jinbao St, 88号 金宝汇购物中心5层 邮政编码: 100005
4.3

Beijing Da Dong is most popular around 4 PM on Saturdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Beijing Da Dong (Chinese restaurant)
China Beijing, Dongcheng, Dongsishi Aly 东四十条甲22号南新仓商务大厦1-2层 邮政编码: 100010
4.3

Beijing Da Dong is most popular around 7 PM on Saturdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

北京apm (Shopping center)
China Bei Jing Shi, Dongcheng Wangfujing Ave, 138号 邮政编码: 100006
4.3

北京apm is most popular around 6 PM on Saturdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Lianhuachi Park (Park)
China Beijing, Fengtai District, Guanglian Rd 广外莲花池路48号 邮政编码: 100038
4.4

Lianhuachi Park is most popular around 8 AM on Sundays. It's most quiet on Thursdays.

Google Maps

Deyuan Roast Duck Restaurant (Chinese restaurant)
57 Dashilan W St Xicheng District, Beijing China 100031
4.4

Deyuan Roast Duck Restaurant is most popular around 6 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Mondays.

Google Maps

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