Best restaurants Upper Darby (US)

Popular restaurants and hours for eating in Upper Darby 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.

Pizza Heaven - Drexel Hill, PA (Pizza restaurant)
2216 State Rd
4.3

Pizza Heaven - Drexel Hill, PA is most popular around 7 PM on Saturdays. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

El Sazon de Puebla (Mexican restaurant)
7103 West Chester Pike
4.2

El Sazon de Puebla is most popular around 8 PM on Sundays. Visitors usually stay 10-45 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Buen Sazon Guatemala Mexican Grill (Mexican restaurant)
3704 Garrett Rd
4.4

Visitors usually stay 15 min to 1 hr here.

Somos una empresa pequeña pero con gusto de atender a los clientes que nos visitan

Google Maps

Green Leaf (Restaurant)
7520 Haverford Ave
4.3

Green Leaf is most popular around 12 PM on Sundays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Mondays.

Google Maps

Golden Place Chinese Restaurant (Chinese restaurant)
500 E Providence Rd #2
4.0

Golden Place Chinese Restaurant is most popular around 3 PM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Sundays.

Family-owned Chinese Restaurant offering a variety of Chinese dishes and many vegan options. We can modify our dishes to one's liking as well.

Google Maps

Chipotle Mexican Grill (Mexican restaurant)
109 S 69th St
2.7

Chipotle Mexican Grill is most popular around 6 PM on Fridays. 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 Upper Darby, 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.