Fun things to do in Oeiras (PT)

Best and most fun things to do in Oeiras : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

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

Palmeiras Shopping (Shopping center)
piso 01 R. da Quinta das Palmeiras 81 91 C 2780-154 Oeiras Portugal
3.8

Palmeiras Shopping is most popular around 2 PM on Wednesdays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Alto da Barra Galleries (Shopping center)
Av. das Descobertas 59 2780-053 Oeiras Portugal
3.9

Alto da Barra Galleries is most popular around 5 PM on Tuesdays. Visitors usually stay 10-45 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Caçoila (Restaurant)
R. de Oeiras do Piauí Brasil 12 2780-295 Oeiras Portugal
4.5

Visitors usually stay 1,5-2,5 hours here.

For more info visit the website or checkout Google Maps.

Rong Hua (Chinese restaurant)
Av. Dr. Francisco de Sá Carneiro 9B 2780-185 Oeiras Portugal
4.2

Rong Hua is most popular around 8 PM on Saturdays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Sundays.

Google Maps

Borges (Restaurant)
R. Filipe Taylor 2780-049 Paço de Arcos Portugal
4.6

Visitors usually stay up to 2 hours here.

Arte de servir bem

For more info visit the website or checkout Google Maps.

O Pombalino (Restaurant)
R. 7 de Junho de 1759 6 2780-214 Oeiras Portugal
4.4

O Pombalino is most popular around 2 PM on Sundays. Visitors usually stay 1,5-2 hours here. It's most quiet on Tuesdays.

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 Oeiras, Portugal. 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.