Best restaurants Pekanbaru (ID)

Popular restaurants and hours for eating in Pekanbaru Indonesia : 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.

Nasi Goreng Bakar Seafood Pak De (Seafood restaurant)
Jl. Sempurna No.9 Tampan Payung Sekaki Pekanbaru City, Riau 28291, Indonesia
4.6

Nasi Goreng Bakar Seafood Pak De is most popular around 7 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Mondays.

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Restoran Taman Anggrek (Chinese restaurant)
GC3H+QG5 Jl. Tuanku Tambusai Labuh Baru Timur Payung Sekaki, Pekanbaru City, Riau 28123, Indonesia
4.4

Restoran Taman Anggrek is most popular around 7 PM on Thursdays. It's most quiet on Mondays.

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Ayam Penyet Pemuda Semarang (Restaurant)
Jl. Sisingamangaraja No.137 Sekip Lima Puluh Pekanbaru City, Riau 28156, Indonesia
4.0

Ayam Penyet Pemuda Semarang is most popular around 8 PM on Saturdays. Visitors usually stay 45 min here. It's most quiet on Tuesdays.

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Rumah Makan Racha (Restaurant)
HF52+RXC Jl. Teluk Leok Limbungan Kec. Rumbai Pesisir, Kota Pekanbaru, Riau 28266, Indonesia
4.5

Rumah Makan Racha is most popular around 1 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Mondays.

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Ayam Goreng Suharti Rumah Makan (Restaurant)
Jl. Riau No.38-40
4.4

Ayam Goreng Suharti Rumah Makan is most popular around 1 PM on Sundays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Tuesdays.

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Sate Ayam Dahlia H. Arie (Restaurant)
Jl. Dahlia No.53 Sukajadi Kec. Sukajadi Kota Pekanbaru, Riau 28121, Indonesia
4.5

Sate Ayam Dahlia H. Arie is most popular around 6 PM on Sundays. Visitors usually stay 20 min here. It's most quiet on Wednesdays.

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.