Best open restaurants Pekanbaru near you

Nearby open restaurants and hours for food in Pekanbaru Indonesia : 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.

Pondok Gurih (Restaurant)
Jl. Jend. Sudirman No.202
4.4

Pondok Gurih is most popular around 8 PM on Wednesdays. Visitors usually stay 1-1,5 hours here. It's most quiet on Mondays.

Google Maps

Pempek Tini 628 (Restaurant)
Jl. Sisingamangaraja No.99 Rintis Lima Puluh Pekanbaru City, Riau 28155, Indonesia
4.3

Pempek Tini 628 is most popular around 7 PM on Saturdays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Mondays.

Google Maps

Star City Square (Asian restaurant)
Jl. Jend. Sudirman No.426
4.4

Star City Square is most popular around 8 PM on Saturdays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Tuesdays.

Google Maps

Roso Lawas Sisingamangaraja (Restaurant)
Jl. Sisingamangaraja No.168 Rintis Lima Puluh Pekanbaru City, Riau 28156, Indonesia
4.4

Roso Lawas Sisingamangaraja is most popular around 8 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.

Warung Merry (Restaurant)
Jl. Mutiara No.35B Padang Terubuk Senapelan Pekanbaru City, Riau 28155, Indonesia
4.5

Warung Merry is most popular around 12 PM on Tuesdays. Visitors usually stay 20-45 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Kopi Pao Pekanbaru (Asian restaurant)
No. 88 J-K Jl. Riau Ujung Tampan Payung Sekaki, Pekanbaru City, Riau 28291, Indonesia
4.3

Visitors usually stay up to 1 hour here.

Google Maps

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