Best restaurants Taiping (MY)

Popular restaurants and hours for eating in Taiping 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.

Ai Recipe-pokok assam (Restaurant)
40, Jalan Permaisuri
4.0

Ai Recipe-pokok assam is most popular around 2 PM on Sundays. Visitors usually stay 30 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Kedai Makanan Tai Chien - Taiping (Restaurant)
79, Jalan Pasar 34000 Taiping Perak Malaysia
4.1

Kedai Makanan Tai Chien - Taiping is most popular around 9 AM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Fridays.

Google Maps

GARFU PLACE (Restaurant)
4, Jalan Muzaffar Shah
4.2

GARFU PLACE is most popular around 9 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Mondays.

BREAKFAST-LUNCH-DINNER (Event Space)

Google Maps

Hadramawt Tower Restaurant Kamunting (Restaurant)
24, Taman Happy, Jalan Kamunting, 34600 Kamunting, Perak Kamunting 34600 Perak Malaysia
4.3

Hadramawt Tower Restaurant Kamunting is most popular around 7 PM on Saturdays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Azra Tomyam (Restaurant)
34000 Taiping Perak Malaysia
3.9

Azra Tomyam is most popular around 8 PM on Sundays. Visitors usually stay 30 min here. It's most quiet on Thursdays.

Google Maps

RESTORAN KAMPUNG WANG (Chinese restaurant)
260, Jalan Tembikai 34000 Taiping Perak Malaysia
4.1

RESTORAN KAMPUNG WANG is most popular around 7 PM on Sundays. Visitors usually stay 45 min to 1 hr here. It's most quiet on Tuesdays.

Google Maps

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