Best restaurants Sri Jayewardenepura Kotte (LK)

Popular restaurants and hours for eating in Sri Jayewardenepura Kotte Sri Lanka : 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.

Dinemore (Restaurant)
950 පන්නිපිටිය පාර
3.9

Dinemore is most popular around 7 PM on Thursdays. Visitors usually stay 15-45 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Boardwalk by Waters Edge (Restaurant)
Sri Jayawardenepura Kotte
4.3

Boardwalk by Waters Edge is most popular around 7 PM on Sundays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

The Sanctuarii (Restaurant)
475/C Sri Jayawardenepura Mawatha
4.4

The Sanctuarii is most popular around 5 PM on Saturdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Mondays.

Cuisine & Cocktails. Welcome to the jungle, make yourself at home.

For more info visit the website or checkout Google Maps.

Shanghai Terrace (Chinese restaurant)
811 Kotte Rd
4.2

Shanghai Terrace is most popular around 8 PM on Fridays. Visitors usually stay 10 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Thuna Paha (Restaurant)
Battaramulla Sri Lanka
4.5

Thuna Paha is most popular around 9 PM on Fridays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Big Bite Biriyani (Restaurant)
1110 Sri Jayawardenepura Mawatha
3.4

Big Bite Biriyani is most popular around 2 PM on Mondays. Visitors usually stay 25 min here. It's most quiet on Sundays.

Google Maps

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