Best restaurants Alor Setar (MY)

Popular restaurants and hours for eating in Alor Setar Malaysia : 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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Alor Setar - Riverbank Restaurant (Chinese restaurant)
2175-D, Taman Tunku Habsah 05100 Alor Setar Kedah Malaysia
4.2

Alor Setar - Riverbank Restaurant is most popular around 8 PM on Tuesdays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Thursdays.

Google Maps

King Kong Ramen (Japanese restaurant)
49, Jalan Kuala Kedah
4.1

King Kong Ramen is most popular around 8 PM on Fridays. Visitors usually stay 45 min here. It's most quiet on Wednesdays.

Google Maps

Terrace Forty Eight (Restaurant)
48, Jalan Tunku Yaakub
4.2

It's most quiet on Mondays.

Google Maps

Xi Yuan Seafood Restaurant 囍缘大酒家 (Chinese restaurant)
257-264, Ground Floor, Lorong Peremba 3, 2, Taman Anggerik, 05050
3.8

Xi Yuan Seafood Restaurant 囍缘大酒家 is most popular around 8 PM on Fridays. Visitors usually stay 1-2,5 hours here. It's most quiet on Mondays.

Authentic Chinese Meal catering for Wedding, birthday, Family Gathering, Directsale Meet, Convention Meet.

For more info visit the website or checkout Google Maps.

Mee Hamid (Restaurant)
72, Jalan Tanjung Bendahara
3.8

Mee Hamid is most popular around 12 PM on Mondays. Visitors usually stay 15 min here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Hai Kee Restaurant Alor Star (Chinese restaurant)
80, Jalan Sultan Muhammad Jiwa
4.1

Hai Kee Restaurant Alor Star is most popular around 1 PM on Wednesdays. Visitors usually stay 45 min to 1 hr here. It's most quiet on Sundays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Alor Setar, Malaysia. 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.