Best open restaurants Vārānasi on Friday evening near you

Nearby open restaurants and hours for food in Vārānasi India on Friday evening: 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.

AI
(Indian restaurant)
Krishna Kunj Building
4.0

Capsicum Food Court | Best Restaurant in Varanasi | Best Family Restaurant in Varanasi | Best Food Court in Varanasi is most popular around 7 PM on Sundays. Visitors usually stay 15-45 min here. It's most quiet on Wednesdays.

Google Maps

(Restaurant)
Hotel Varuna
4.0

VNS LIVE STUDIO is most popular around 10 AM on Sundays. Visitors usually stay 30 min to 3,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Indian restaurant)
3rd floor Swastik City Center Rathyatra - Mahmoorganj Rd, Sigra Varanasi, Uttar Pradesh 221010 India
4.1

Pind Balluchi is most popular around 8 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Indian restaurant)
D-14/8 Dashashwamedh Road Lahori Tola Godowlia Varanasi, Uttar Pradesh 221001 India
3.7

The Keshari Restaurant is most popular around 8 PM on Sundays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Wednesdays.

Google Maps

(Restaurant)
Hotel RK Heights And Banquet
3.8

Bindaas Rooftop Restaurant (Hotel R.K.Heights) is most popular around 8 PM on Saturdays. Visitors usually stay 15 min here.

Google Maps

(Restaurant)
Rathyatra Crossing, Jahumandi
3.7

Rasna Family Restaurant is most popular around 9 PM on Sundays. Visitors usually stay 10-45 min here.

Google Maps



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