Fun things to do on Friday evening in Amsterdam - De Pijp (NL)

Best and most fun things to do in Amsterdam - De Pijp on Friday evening: 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.

AI
(Seafood restaurant)
Ferdinand Bolstraat 32
4.7

The Seafood Bar is most popular around 7 PM on Wednesdays. Visitors usually stay 1-2 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Indian restaurant)
Stadhouderskade 123
4.1

Saravanaa Bhavan is most popular around 7 PM on Saturdays. Visitors usually stay 45 min to 1 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Indian restaurant)
Van der Helstplein 15H
4.7

Miri Mary Indian Restaurant Amsterdam is most popular around 7 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

(Shopping)
Eerste van der Helststraat 70
4.6

Katsu Coffeeshop is most popular around 4 PM on Wednesdays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Other)
Albert Cuypstraat 75
3.4

Visitors usually stay 15-45 min here.

Google Maps

(Restaurant)
Weesperzijde 23
4.2

Café Restaurant De Ysbreeker is most popular around 6 PM on Thursdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.



Special pages for Amsterdam - De Pijp Netherlands

View on map

Map view and advanced filters

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