Best open bars Itaewon - Seoul (KR) near you

Popular days & hours to visit bars in Itaewon - Seoul South Korea that are open nearby you - Avoid empty bars and enjoy the perfect night out.

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

AI
(Bar)
127-15 이태원제1동 Yongsan-gu, Seoul South Korea
4.4

Visitors usually stay 1-2,5 hours here.

After Paris, Barcelona & Madrid, Casa Corona is a brand new rooftop venue in Itaewon with delicious cocktails, food and an amazing view. Come enjoy the atmosphere w/ Local & International Djs until late at night with the occasional live act.

For more info visit the website or checkout Google Maps.

(Bar)
218 Noksapyeong-daero
4.6

Southside Parlor is most popular around 9 PM on Saturdays. Visitors usually stay 1,5-3 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Bar)
26 Itaewon-ro 27ga-gil
4.1

Glam Lounge is most popular around 11 PM on Saturdays. Visitors usually stay 1-3,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Clubs)
2층
4.7

gathering is most popular around 11 PM on Saturdays. Visitors usually stay 1-3 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Bar)
11 Hoenamu-ro
4.5

Burn Cigar Bar & Lounge is most popular around 3 PM on Saturdays. Visitors usually stay 1-4 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Beer)
168-3 이태원제1동
4.6

shenanigans irish pub is most popular around 11 PM on Saturdays. Visitors usually stay 1-3,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

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