Best restaurants Reading (US)

Popular restaurants and hours for eating in Reading United States : Secure a table before rush hour at the most popular restaurants.

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

Rocky's Pizza Ltd (Pizza restaurant)
445 Spring St
4.2

Rocky's Pizza Ltd is most popular around 4 PM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Building 24 Kitchen and Bar (Restaurant)
1115 Bern Rd
4.3

Building 24 Kitchen and Bar is most popular around 10 PM on Fridays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

La Fogata Mexican Restaurant (Mexican restaurant)
742 N 9th St
4.2

Visitors usually stay 10-45 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Paraiso Rosel Mexican Restaurante (Mexican restaurant)
301 S 8th St
4.5

Paraiso Rosel Mexican Restaurante is most popular around 4 PM on Fridays. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Platinum Cafe & Lounge (Restaurant)
1925 Centre Ave
4.2

Platinum Cafe & Lounge is most popular around 11 PM on Saturdays. It's most quiet on Mondays.

Ven a disfrutar del mejor ambiente de Reading PA con tus tragos favoritos o descorcha una botella con todo tu grupo al ritmo de la música más pegada del momento.

For more info visit the website or checkout Google Maps.

Family Garden (Chinese restaurant)
1701 Perkiomen Ave
3.6

Family Garden is most popular around 7 PM on Wednesdays. Visitors usually stay 15 min here. It's most quiet on Saturdays.

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.