Things to do in Pekanbaru (ID)

Crowd levels and popular times for Pekanbaru : 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.

Tegal Warung Sate (Restaurant)
Jl. Riau No.116A Kampung Baru Senapelan Pekanbaru City, Riau 28154, Indonesia
4.4

Tegal Warung Sate is most popular around 1 PM on Fridays. It's most quiet on Wednesdays.

Google Maps

Minang Soto (Restaurant)
Jl. Pattimura Jl. Paus No.38
4.4

Minang Soto is most popular around 7 PM on Sundays. Visitors usually stay 25 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

MIT Coffee Food & Beverages (Cafe)
Jl. Kartini No.79 Sumahilang Kec. Pekanbaru Kota Kota Pekanbaru, Riau 28111, Indonesia
4.6

MIT Coffee Food & Beverages is most popular around 9 PM on Saturdays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Mondays.

Google Maps

Rumah makan Ranah Bundo Mulya (Restaurant)
GC89+R78 Jl. Dharma Bakti No.Kelurahan Labuh Baru Bar. Kec. Payung Sekaki, Kota Pekanbaru, Riau 28292, Indonesia
4.5

Rumah makan Ranah Bundo Mulya is most popular around 1 PM on Sundays. Visitors usually stay 20 min here. It's most quiet on Saturdays.

Google Maps

Jendela Kedai Kopi (Cafe)
Jl. Teuku Umar No.21A Rintis Lima Puluh Pekanbaru City, Riau 28155, Indonesia
4.9

Jendela Kedai Kopi is most popular around 9 PM on Saturdays. It's most quiet on Sundays.

Google Maps

Tugu Bambu Runcing (Other)
GFG3+43V Sumahilang Pekanbaru Kota Pekanbaru City, Riau 28156, Indonesia
4.8

Tugu Bambu Runcing is most popular around 12 PM on Fridays. 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 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.