Best restaurants Medan (ID)

Popular restaurants and hours for eating in Medan Indonesia : 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.

The Obonk Steak & Ribs (Restaurant)
Jl. T. Amir Hamzah No.42 - 44
4.6

The Obonk Steak & Ribs is most popular around 8 PM on Saturdays. Visitors usually stay 1 hour here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Fritto Chicken TVRI (Chicken restaurant)
HMWF+4XR Kesawan Kec. Medan Bar. Kota Medan, Sumatera Utara, Indonesia
4.3

Fritto Chicken TVRI is most popular around 9 PM on Saturdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kwetiau Alim (Restaurant)
Pandau Hilir Kec. Medan Perjuangan Kota Medan, Sumatera Utara 20233 Indonesia
4.6

Kwetiau Alim is most popular around 7 PM on Sundays. Visitors usually stay 20 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Sari Laut Mbak Sri (Restaurant)
Jl. T. Amir Hamzah No.82
4.3

Sari Laut Mbak Sri is most popular around 8 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Waroeng Nasi Goreng Juragan (Restaurant)
Gg. Maruto No.39
4.5

Waroeng Nasi Goreng Juragan is most popular around 10 PM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Tuesdays.

Google Maps

RM & Kopi Dapur Bamboo (Restaurant)
Jl. T. Amir Hamzah
4.6

RM & Kopi Dapur Bamboo is most popular around 7 PM on Sundays. It's most quiet on Tuesdays.

Halal Indonesian Food

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 Medan, Indonesia. 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.