Best open shops & malls Sūrat (IN) near you

Popular open shops and malls in Sūrat India : Avoid busy hours by visiting shopping malls during the quiet days as indicated below.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated shops.

VR Surat (Shopping center)
Dumas Rd Magdalla Surat, Gujarat 395007 India
4.5

VR Surat is most popular around 7 PM on Sundays. Visitors usually stay 45 min to 3 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

RR Mall (Shopping center)
Dumas Rd Piplod Surat, Gujarat 395007 India
4.1

RR Mall is most popular around 7 PM on Sundays. Visitors usually stay 30 min to 2,5 hr here. It's most quiet on Mondays.

Google Maps

Reliance Mall (Shopping center)
opposite Rajkumar Cinema Udhana Darwaja, Udhana Surat, Gujarat 395002 India
4.3

Reliance Mall is most popular around 6 PM on Sundays. Visitors usually stay 25 min to 2 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Rangila Park Shopping Center (Shopping center)
1, Ghod Dod Rd Athwa Surat, Gujarat 395007 India
4.1

Rangila Park Shopping Center is most popular around 7 PM on Sundays. Visitors usually stay 10 min to 1 hr here. It's most quiet on Mondays.

Google Maps

The Palladium Mall (Shopping center)
Puna-Simada Rd Yogichowk, Yogi Chowk Ground, Chikuwadi, Varachha Surat, Gujarat 395010 India
4.3

The Palladium Mall is most popular around 6 PM on Mondays. Visitors usually stay 10 min to 1 hr here.

Google Maps

Regent Arcade (Shopping center)
Ghod Dod Rd Athwa Surat, Gujarat 395007 India
4.1

Regent Arcade is most popular around 6 PM on Mondays. Visitors usually stay 15 min to 2 hr here. It's most quiet on Sundays.

Google Maps

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