Best open restaurants Klang on Thursday evening near you

Nearby open restaurants and hours for food in Klang Malaysia on Thursday evening: 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.

AI
(Indian restaurant)
KS7
4.9

India Gate Restaurant @Klang 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.

(Asian restaurant)
Pusat Komersil
4.0

Murni Discovery • Shah Alam is most popular around 9 PM on Saturdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Seafood restaurant)
1E & 1F
3.9

巴生伸波士頓餐室 Restoran Boston Baru Klang is most popular around 10 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Restaurant)
No. 8G & 10G, Jalan Plumbum P7\/P
3.9

Wong Solo @Shah Alam is most popular around 6 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Restaurant)
Lot PT 3358, Seksyen
3.9

McDonald's Persiaran Raja Muda Musa DT is most popular around 10 PM on Saturdays. Visitors usually stay 10-45 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Restaurant)
42A-0, Lorong Batu Nilam 3A
4.5

Pak Li Kopitiam BBT, Klang is most popular around 1 PM on Sundays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Thursdays.

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 Klang, 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.