Best restaurants Goyang (KR)

Popular restaurants and hours for eating in Goyang 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.

Ganggangsullae neulbom Plantation Point (Restaurant)
1526-3 Hoguk-ro
4.2

Ganggangsullae neulbom Plantation Point is most popular around 1 PM on Sundays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Shake Shack Starfield Goyang (Burger restaurant)
1층 1955 Goyang-daero Deogyang-gu, Goyang-si, Gyeonggi-do South Korea
3.9

Shake Shack Starfield Goyang is most popular around 2 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Wednesdays.

Google Maps

Canaan Duck (Restaurant)
62 Aenigol-gil
4.0

Canaan Duck is most popular around 1 PM on Sundays. Visitors usually stay 1,5 hours here. It's most quiet on Mondays.

Google Maps

Myeongga won Seolleongtang (Asian restaurant)
1137-3 정발산동
3.9

Myeongga won Seolleongtang is most popular around 1 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

진밭국수 (Ramen restaurant)
South Korea, Gyeonggi-do, Goyang-si, Ilsandong-gu, Seongseok-dong, 601-3
4.1

진밭국수 is most popular around 12 PM on Fridays. Visitors usually stay 25 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Sinseon Seolnongtang (Asian restaurant)
1297-1 Baekseok-dong
4.0

Sinseon Seolnongtang is most popular around 12 PM on Mondays. Visitors usually stay 30 min 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 Goyang, 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.