Best restaurants Sŏngnam (KR)

Popular restaurants and hours for eating in Sŏngnam South Korea : Secure a table before rush hour at the most popular restaurants.

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

Cheongdam Chueojeong (Japanese restaurant)
3 Yeosu-daero 56beon-gil
4.3

Cheongdam Chueojeong is most popular around 1 PM on Sundays. Visitors usually stay 45 min to 1 hr here.

대한민국 1등 상황추어탕입니다. 삼대가 행복한 밥상 무병장생을 드리는 것이 청담추어정의 꿈입니다. 무병은 덕이요 장생은 복입니다. 상황추어탕, 황게장, 보리굴비, 수제돈까스등 다양한 음식이 준비되어 있습니다.

For more info visit the website or checkout Google Maps.

Hansoban Jjukkumi (Asian restaurant)
589-1 Cheonggyesan-ro
4.1

Hansoban Jjukkumi is most popular around 1 PM on Sundays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Mondays.

국내 최초로 쭈꾸미 볶음을 한정식 느낌의 상차림으로 구성하여, 쭈꾸미 정식이라는 메뉴 명으로 전국에 확산 시킨 쭈꾸미 전문점입니다. 정직한 식 재료를 바로 조리 해 재료 그대로의 풍미를 담았고, 도심 속 번잡함을 벗어나 자연 속의 아늑한 분위기에서 색다른 맛의 여유로움을 즐길 수 있습니다.

For more info visit the website or checkout Google Maps.

Hongruwon (Restaurant)
Seongnam-si South Korea
3.9

Hongruwon is most popular around 12 PM on Thursdays. Visitors usually stay 45 min here. It's most quiet on Mondays.

Google Maps

Suwonjib (Asian restaurant)
108 Songpa-daero
4.2

Suwonjib is most popular around 7 PM on Saturdays. It's most quiet on Mondays.

Google Maps

Sagyejinmi (Asian restaurant)
338-8 Yatap-dong
4.2

Sagyejinmi is most popular around 1 PM on Sundays. Visitors usually stay 30 min here. It's most quiet on Mondays.

Google Maps

도원참치 (Restaurant)
South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, Sampyeong-dong
4.0

도원참치 is most popular around 7 PM on Thursdays. It's most quiet on Saturdays.

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 Sŏngnam, 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.