Best restaurants Getafe (ES)

Popular restaurants and hours for eating in Getafe Spain : 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.

Restaurante arrocería El Cardenal (Restaurant)
C. Madrid, 20 28903 Getafe Madrid Spain
3.8

Restaurante arrocería El Cardenal is most popular around 9 PM on Saturdays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Tuesdays.

Arrocería Restaurante especializada en arroces secos y caldosos.

For more info visit the website or checkout Google Maps.

Dragon Kitchen Getafe (Restaurant)
C. de Ramón Rubial, 11 28904 Getafe Madrid Spain
4.6

Dragon Kitchen Getafe is most popular around 10 PM on Fridays. Visitors usually stay 1-2 hours here. It's most quiet on Thursdays.

Tu restaurante chino auténtico

For more info visit the website or checkout Google Maps.

Taberna del Tarao (Restaurant)
Av. Juan de la Cierva, 29 28901 Getafe Madrid Spain
4.2

Taberna del Tarao is most popular around 9 PM on Saturdays. It's most quiet on Tuesdays.

Google Maps

Made in Terra Nostra (Pizza restaurant)
P.º de María Lejárraga, 5 28905 Getafe Madrid Spain
4.6

Made in Terra Nostra is most popular around 10 PM on Fridays. It's most quiet on Wednesdays.

Google Maps

Restaurante Jade colonial (Asian restaurant)
C. de la Magdalena, 33 28901 Madrid Spain
4.2

Restaurante Jade colonial is most popular around 8 PM on Mondays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Restaurante Casa de Pías (Restaurant)
C. Escuelas Pias, 4 28901 Getafe Madrid Spain
4.5

Visitors usually stay 1,5-3 hours here.

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 Getafe, Spain. 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.