Best open shops & malls Seoul (KR) near you
Popular open shops and malls in Seoul South Korea : Avoid busy hours by visiting shopping malls during the quiet days as indicated below.
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated shops.
SQUARE1 (Shopping center)
210 Cheongneung-daeroSQUARE1 is most popular around 3 PM on Saturdays. Visitors usually stay up to 2.5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Hyundai Premium Outlet Space1 (Shopping center)
50 Dasansunhwan-roHyundai Premium Outlet Space1 is most popular around 3 PM on Sundays. Visitors usually stay up to 2.5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Hyundai City Outlet (Shopping center)
9 Digital-ro 10-gilHyundai City Outlet is most popular around 3 PM on Sundays. Visitors usually stay up to 2.5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Newcore Outlet Gangnam (Shopping center)
51 Jamwon-roNewcore Outlet Gangnam is most popular around 3 PM on Saturdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Lotte Department Store Jungdong (Shopping center)
300 Gilju-roLotte Department Store Jungdong is most popular around 2 PM on Saturdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Times Square, Seoul (Shopping center)
15 Yeongjung-roTimes Square, Seoul is most popular around 3 PM on Saturdays. Visitors usually stay up to 2.5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Seoul, South Korea. 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.