Fun things to do in Shah Alam (MY)

Best and most fun things to do in Shah Alam : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

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

Restoran Meng Kee Char Siew 明記叉燒王 (Chinese restaurant)
30, Jalan Pekedai U1/36
3.8

Restoran Meng Kee Char Siew 明記叉燒王 is most popular around 12 PM on Thursdays. Visitors usually stay 30 min here. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Medan Selera Seksyen 2 (Restaurant)
Medan Makan
3.9

Medan Selera Seksyen 2 is most popular around 1 PM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Tuesdays.

We are selling roti john , mee laksa, variety of otak-otak, tauhu bakar and many more

Google Maps

One Serambi Cafe (Cafe)
1-G, D'bayu Commercial Centre
4.4

One Serambi Cafe is most popular around 9 PM on Fridays. Visitors usually stay 25 min to 1,5 hr here.

For more info visit the website or checkout Google Maps.

Ehsan's Vista Alam (Restaurant)
Unit 17-LG, Vista Alam Shoplot 14
4.2

Ehsan's Vista Alam is most popular around 9 PM on Saturdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Tuesdays.

Google Maps

Rafi Bistro (Restaurant)
NO:83 & SEKSYEN 13
3.6

Rafi Bistro is most popular around 10 PM on Fridays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Mondays.

Google Maps

Restoran Khalifah (Restaurant)
Seksyen 3 40000 Shah Alam Selangor Malaysia
4.0

Restoran Khalifah is most popular around 8 AM on Fridays. Visitors usually stay 30 min here. It's most quiet on Sundays.

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 Shah Alam, 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.