Best open cafes near you in Reykjavík (IS)

Best open cafes near you in Reykjavík Iceland : Find your ideal quiet or bustling cafe nearby you.

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

Sandholt (Bakery)
Laugavegur 36 101 Reykjavík Iceland
4.6

Sandholt is most popular around 11 AM on Saturdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Café Babalú (Cafe)
Skólavörðustígur 22A 101 Reykjavík Iceland
4.5

Café Babalú is most popular around 1 PM on Sundays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

The Laundromat Cafe (Cafe)
Austurstræti 9 101 Reykjavík Iceland
4.4

The Laundromat Cafe is most popular around 11 AM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Reykjavik Roasters (Cafe)
Kárastígur 1 101 Reykjavík Iceland
4.6

Reykjavik Roasters is most popular around 10 AM on Saturdays. Visitors usually stay 30 min to 2,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

BakaBaka (Bakery)
Bankastræti 2 101 101 Reykjavík Iceland
4.4

BakaBaka is most popular around 11 AM on Sundays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Reykjavík Röst (Coffee)
Geirsgata 5 101 Reykjavík Iceland
4.6

Reykjavík Röst is most popular around 12 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

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