Best open cafes near you in Williamsburg (US)

Best open cafes near you in Williamsburg 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.

Colonial Pancake House (Breakfast restaurant)
301 Page St
4.6

Colonial Pancake House is most popular around 10 AM on Sundays. Visitors usually stay 45 min to 1 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Capitol Pancake House (Breakfast restaurant)
802 Capitol Landing Rd
4.3

Capitol Pancake House is most popular around 11 AM on Sundays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Aromas Coffeehouse Bakery & Cafe (Coffee)
431 Prince George St
4.4

Aromas Coffeehouse Bakery & Cafe is most popular around 1 PM on Sundays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

First Watch (Breakfast restaurant)
5212 Monticello Ave Suite C
4.5

First Watch is most popular around 10 AM on Sundays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Dunkin' (Coffee)
1317 Richmond Rd
3.3

Dunkin' is most popular around 10 AM on Sundays. Visitors usually stay 10 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Panera Bread (Cafe)
5218 Monticello Ave
4.1

Panera Bread is most popular around 12 PM on Saturdays. Visitors usually stay 10 min to 1 hr here. It's most quiet on Thursdays.

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 Williamsburg, 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.