Best restaurants Muscat (OM)

Popular restaurants and hours for eating in Muscat Oman : 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.

Map
Bait Al Luban Omani Restaurant (Restaurant)
harat a'shamal street مسقط OM MUTTRAH CORNICHE OM 130 Oman
4.2

Bait Al Luban Omani Restaurant is most popular around 6 PM on Fridays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Khana Khazana Restaurant (Indian restaurant)
HHV2+JC3 Muscat Oman
3.9

Khana Khazana Restaurant is most popular around 9 PM on Fridays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Golden Oryx Restaurant مطعم المها الذهبي - روي (Chinese restaurant)
JG3R+GHW Al Burj St Muscat 112 Oman
4.3

Golden Oryx Restaurant مطعم المها الذهبي - روي is most popular around 9 PM on Thursdays. It's most quiet on Mondays.

Google Maps

Al Haikal Restaurant (Restaurant)
Opposite sultan Qaboos mosque Muscat 112 Oman
3.7

Al Haikal Restaurant is most popular around 10 PM on Fridays. Visitors usually stay 30 min here. It's most quiet on Thursdays.

www.youtube.com@salmanshanawar9720

For more info visit the website or checkout Google Maps.

Sikandar Restaurant (Indian restaurant)
HHP7+R6R Muscat Oman
4.2

Sikandar Restaurant is most popular around 2 PM on Fridays. Visitors usually stay 15-45 min here. It's most quiet on Mondays.

Google Maps

Red Tomato (Restaurant)
Muscat Oman
3.8

Red Tomato is most popular around 9 PM on Fridays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Mondays.

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 Muscat, Oman. 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.