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.

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Rumah Makan Ayam Tangkap (Chicken restaurant)
Jl. Sena No.122 Perintis Kec. Medan Tim. Kota Medan, Sumatera Utara 20233, Indonesia
4.6

Rumah Makan Ayam Tangkap is most popular around 2 PM on Saturdays. It's most quiet on Tuesdays.

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

The Obonk Steak & Ribs is most popular around 7 PM on Sundays. Visitors usually stay 45 min to 1.5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Mie Kam Pak (Metal) (Ramen restaurant)
Jl. Metal II No.35
4.4

Mie Kam Pak (Metal) is most popular around 9 AM on Sundays. Visitors usually stay 30 min here. It's most quiet on Thursdays.

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 1 PM on Sundays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

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

Sari Laut Mbak Sri is most popular around 7 PM on Sundays. It's most quiet on Mondays.

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 Wednesdays.

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.