Best open cafes near you in Kota Kinabalu (MY)

Best open cafes near you in Kota Kinabalu Malaysia : Find your ideal quiet or bustling cafe nearby you.

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

AI
(Cafe)
13, Lorong Dewan Pusat Bandar 88000 Kota Kinabalu Sabah, Malaysia
4.5

October Coffee Gaya is most popular around 8 PM on Sundays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Breakfast restaurant)
21, Lorong Dewan Kota Kinabalu 88000 Kota Kinabalu Sabah, Malaysia
4.5

Visitors usually stay 20 min to 2,5 hr here.

For more info visit the website or checkout Google Maps.

(Coffee)
Block G Lot 10, Lorong Sinsuran 2 Sinsuran Kompleks 88000 Kota Kinabalu, Sabah, Malaysia
4.1

Seng Hing Coffee Shop is most popular around 10 AM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Coffee)
Lot 11, Bunga Raja Shopping Complex Jln Lintas Taman Bunga Raja 88300 Kota Kinabalu, Sabah, Malaysia
4.0

Mee Ngar is most popular around 12 PM on Sundays. Visitors usually stay 20 min here. It's most quiet on Wednesdays.

Google Maps

(Cafe)
7, Lorong Gunung Juo Taman Far East 88300 Kota Kinabalu Sabah, Malaysia
4.4

Haru Cafe (Hilltop Branch) is most popular around 7 PM on Sundays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Cafe)
16-0 Block E, Ground Floor Lintas Square Jln Lintas 88300 Kota Kinabalu Sabah, Malaysia
4.0

Lucky Bean is most popular around 9 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr 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 Kota Kinabalu, 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.