Best open restaurants Seremban near you

Nearby open restaurants and hours for food in Seremban Malaysia : Secure a table before rush hour at the most popular open restaurants near you.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated restaurants.

Restoran Sharif Maju (Restaurant)
Jalan Dato' Abdul Malek
3.8

Restoran Sharif Maju is most popular around 8 AM on Fridays. Visitors usually stay up to 45 min here. It's most quiet on Sundays.

Google Maps

Restoran Ayza's (Restaurant)
70300
3.5

Restoran Ayza's is most popular around 8 PM on Sundays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Mondays.

Google Maps

芙蓉陈记拉沙 Tan Homecook@Galena Foodcourt 家丽成美食中心 (Restaurant)
1, Jalan Jasper Jaya 1
4.0

芙蓉陈记拉沙 Tan Homecook@Galena Foodcourt 家丽成美食中心 is most popular around 9 AM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Wednesdays.

Selling authentic curry laksa and local famous squid noodles

For more info visit the website or checkout Google Maps.

QQ Lucky Star Foodcourt (Restaurant)
Malaysia Lot 13219, Jalan Rasah Taman Tuan Sheikh 70300 Seremban, Negeri Sembilan, Malaysia
3.3

QQ Lucky Star Foodcourt is most popular around 8 AM on Fridays. Visitors usually stay up to 45 min here. It's most quiet on Mondays.

Foodcourt

Google Maps

Bidara Curry Restaurant (Restaurant)
Bandar Seremban 70000 Seremban Negeri Sembilan Malaysia
3.6

Bidara Curry Restaurant is most popular around 5 PM on Tuesdays. Visitors usually stay 25 min here. It's most quiet on Wednesdays.

Google Maps

Satay Ayang Pantai (Restaurant)
3
4.2

Satay Ayang Pantai is most popular around 9 PM on Wednesdays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

Google Maps

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