Best shopping malls Delhi (IN)

Popular shopping days & hours in Delhi India : Avoid the 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.

DLF Emporio (Shopping center)
4, Nelson Mandela Marg Vasant Kunj II, Vasant Kunj New Delhi, Delhi 110070 India
4.6

DLF Emporio is most popular around 4 PM on Fridays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Shipra Mall (Shopping center)
Vaibhav Khand, Indirapuram Ghaziabad, Uttar Pradesh 201014 India
4.3



For more info visit the website or checkout Google Maps.

Soul City Mall (Shopping center)
H2WP+GCV Sector 13, Kakrola Delhi, 110078 India
4.1

Soul City Mall is most popular around 7 PM on Sundays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Tuesdays.

Google Maps

OMAXE CONNAUGHT PLACE MALL (Shopping center)
Omaxe Connaught Place Mall UGF 58, 7th Meridian Rd, Beta II Greater Noida, Uttar Pradesh 201308, India
4.3

OMAXE CONNAUGHT PLACE MALL is most popular around 7 PM on Sundays. It's most quiet on Tuesdays.

Google Maps

MSX Mall (Shopping center)
601 – 602, 6th Floor, Ocean Heights, Sector – 18 Block F, Industrial Area, Sector Swarn Nagri Plot No. K-4, 4th Ave Greater Noida, Uttar Pradesh 201310 India
3.6

MSX Mall is most popular around 7 PM on Sundays. Visitors usually stay 15-45 min here. It's most quiet on Mondays.

Google Maps

Bengali Sweet Centre (Shopping)
Block D G-19, Har Gyan Singh Arya Marg, South Extension I, Block G New Delhi, Delhi 110049 India
4.0

Bengali Sweet Centre is most popular around 7 PM on Saturdays. Visitors usually stay 15-45 min 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 Delhi, 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.