Best open restaurants Reading near you

Nearby open restaurants and hours for food in Reading United States : Secure a table before rush hour at the most popular open restaurants near you.

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

Family Garden (Chinese restaurant)
1701 Perkiomen Ave
3.6

Family Garden is most popular around 6 PM on Thursdays. Visitors usually stay up to 30 min here. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Hawaii Kitchen (Sushi restaurant)
510 Penn Ave
4.4



For more info visit the website or checkout Google Maps.

Mikura (Asian restaurant)
840 N Park Rd
4.1

Mikura is most popular around 6 PM on Thursdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Mondays.

Asain resturant serving classic Chinese, Japanese, Thai, and Korean dishes.

For more info visit the website or checkout Google Maps.

Casa Cortes Mexican Grill (Mexican restaurant)
39 N 9th St
4.5

Casa Cortes Mexican Grill is most popular around 4 PM on Saturdays. Visitors usually stay up to 30 min here. It's most quiet on Wednesdays.

Casa Cortes offers the best in traditional Mexican cuisine. Specializing in authentic Mexican comfort food, we have all your classic favorites. Such as tacos, burritos, quesadillas, tamales, pambazos and many more.

For more info visit the website or checkout Google Maps.

Golden Bowl Restaurant (Chinese restaurant)
850 Penn St
3.4

Golden Bowl Restaurant is most popular around 7 PM on Fridays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Nino's Pizza & Pasta (Italian restaurant)
840 N Park Rd #2
4.3



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 Reading, 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.