Best open restaurants Nairobi near you

Nearby open restaurants and hours for food in Nairobi Kenya : 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.

Big Square Wilson (Restaurant)
Wilson, Langata Road Kenya
4.2

Big Square Wilson is most popular around 6 PM on Fridays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Homeland Inn (Restaurant)
Thika Rd Nairobi Kenya
4.1

Homeland Inn is most popular around 10 PM on Saturdays. Visitors usually stay 25 min to 3 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Java House - Mama Ngina St (Restaurant)
Transnational Plaza Mama Ngina St Nairobi Kenya
4.3

Java House - Mama Ngina St is most popular around 4 PM on Fridays. Visitors usually stay up to 1.5 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Java House - Hurlingham (Restaurant)
Argwings Kodhek Road Shell Service Station Nairobi Kenya
4.3

Java House - Hurlingham is most popular around 2 PM on Tuesdays. Visitors usually stay 30 min to 2 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Nerkwo Restaurant (Restaurant)
Athi River Plainsview Rd Nairobi Kenya
4.1

Nerkwo Restaurant is most popular around 7 PM on Fridays. Visitors usually stay 30 min to 3 hr here. It's most quiet on Mondays.

Google Maps

Jambo grill (Restaurant)
Jambo Grill Thika Rd Thika Kenya
4.0

Jambo grill is most popular around 11 PM on Saturdays. Visitors usually stay 1,5-4 hours 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 Nairobi, Kenya. 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.