Best open cafes near you in Alameda (US)

Best open cafes near you in Alameda United States : 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.

AI
(Breakfast restaurant)
1507 Park St Alameda, CA 94501 United States
4.5

Ole's Waffle Shop is most popular around 12 PM on Sundays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Thursdays.

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(Breakfast restaurant)
2333 Lincoln Ave Alameda, CA 94501 United States
4.4

Jim's Coffee Shop is most popular around 11 AM on Sundays. Visitors usually stay 45 min to 1 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Breakfast restaurant)
1363 Park St Alameda, CA 94501 United States
4.3

Homeskillet - Alameda is most popular around 10 AM on Sundays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Coffee)
1223 Park St Alameda, CA 94501 United States
4.5

Julie's Coffee & Tea Garden is most popular around 11 AM on Sundays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Coffee)
377 2nd St #110, Oakland, CA 94607, United States
4.6

Bicycle Coffee is most popular around 10 AM on Saturdays. Visitors usually stay 10-45 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Coffee)
1364 Park St Alameda, CA 94501 United States
4.0

Starbucks Coffee Company is most popular around 9 AM on Saturdays. Visitors usually stay 10 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 Alameda, United States. 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.