Fun things to do in Kolhāpur (IN)

Best and most fun things to do in Kolhāpur : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

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

Padma Guest House (Restaurant)
near पदमा टॉकीज़ Laxmipuri Kolhapur, Maharashtra 416002 India
4.1

Padma Guest House is most popular around 1 PM on Mondays. Visitors usually stay 20 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Khasbag Maidan (Ground) (Park)
M6VG+3CQ MH SH 116, Mangalwar Peth, Manganwlar Peth Kolhapur, Maharashtra 416012 India
4.5

Khasbag Maidan (Ground) is most popular around 6 PM on Thursdays. Visitors usually stay 20 min here. It's most quiet on Sundays.

Google Maps

Hotel Avanti - Meghdoot (Restaurant)
M6XH+V2Q Laxmipuri Kolhapur, Maharashtra 416002 India
4.1

Hotel Avanti - Meghdoot is most popular around 2 PM on Tuesdays. Visitors usually stay 25 min here.

Google Maps

Padmaraje Garden (Park)
300, Margai Galli Shivaji Peth A Ward, C Ward Kolhapur, Maharashtra 416012 India
4.0

Padmaraje Garden is most popular around 10 PM on Wednesdays. Visitors usually stay up to 30 min here. It's most quiet on Thursdays.

Google Maps

Nana Nani Park (Park)
Dr, VH Vaze Marg Tarabai Park Kolhapur, Maharashtra 416003 India
4.2

Nana Nani Park is most popular around 2 PM on Mondays. Visitors usually stay up to 45 min here. It's most quiet on Sundays.

Google Maps

Khasbag Misal (Restaurant)
M6VG+F8Q Unnamed Road, C Ward Kolhapur, Maharashtra 416002 India
4.0

Khasbag Misal is most popular around 12 PM on Sundays. Visitors usually stay 25 min here. It's most quiet on Tuesdays.

Google Maps

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