Best open restaurants Shenzhen near you

Nearby open restaurants and hours for food in Shenzhen China : Secure a table before rush hour at the most popular open restaurants near you.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated restaurants.

Daikiya Japanese Restaurant (Japanese restaurant)
Hong Kong
3.9

Daikiya Japanese Restaurant is most popular around 7 PM on Fridays. Visitors usually stay 25 min to 1 hr here. It's most quiet on Mondays.

Google Maps

BBQ Kingdom Restaurant (Chinese restaurant)
39 號 舖
3.5

BBQ Kingdom Restaurant is most popular around 1 PM on Sundays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Sun Cheong Seafood Restaurant (Seafood restaurant)
Hong Kong Tai Wai 151號地下 下徑口村
3.7

Sun Cheong Seafood Restaurant is most popular around 7 PM on Sundays. Visitors usually stay 1-2 hours here. It's most quiet on Mondays.

始於1999年 用心製作潮洲料理🏆 堂食/ 外賣自取/ 套餐到會直送 營業時間: 每日1730-0030 FB: 生昌潮洲海鮮酒家/ @suncheonghk IG : suncheong_hongkong

For more info visit the website or checkout Google Maps.

King Harbour Restaurant (Ma On Shan) (Chinese restaurant)
Hong Kong 鞍誠街8號新港城第三期1層
3.5

King Harbour Restaurant (Ma On Shan) is most popular around 1 PM on Sundays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Wing Shun Restaurant (Chinese restaurant)
Shop 1
4.0

Wing Shun Restaurant is most popular around 12 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Shing Kee Noodles (Chinese restaurant)
Lek Yuen St
4.2

Visitors usually stay 30 min to 2,5 hr here.

Google Maps

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