Taska Lusa Estoril
Casa Mocambo
Descobre
Mercado de Algés
Capricciosa Parque das Nações
Eating Bear
Quermesse Restaurante
3 Amigos
@ines__andre

Restaurantes🍴 | PT

by @ines__andreInfluencer·123 followers
14 restaurants
14 restaurants curated by a Influencer with 123 followers

Restaurantes de boa qualidade que recomendo por experiência própria. Maioritariamente na zona de Lisboa

📦 Items
14
Avg rating
4.4
👤 Curator
@ines__andre
This collection contains 14 restaurants with an average rating of 4.4. Curated by @ines__andre.

⭐ Top rated

1
3 Amigos
4.7
GOOGLE
2
L'Origine
4.6
GOOGLE
3
Taska Lusa Estoril
4.5
GOOGLE
4
Quermesse Restaurante
4.5
GOOGLE

All (14)

Taska Lusa Estoril
Taska Lusa Estoril
4.5
Casa Mocambo
Casa Mocambo
4.4
Descobre
Descobre
4.4
Mercado de Algés
Mercado de Algés
4.2
Capricciosa Parque das Nações
Capricciosa Parque das Nações
4.1
Eating Bear
Eating Bear
4.4
Quermesse Restaurante
Quermesse Restaurante
4.5
3 Amigos
3 Amigos
4.7
Avó Restaurante
Avó Restaurante
4.5
Restaurante - Bar Saraiva's
Restaurante - Bar Saraiva's
4.4
#Treestory Lisbon
#Treestory Lisbon
4.5
BOA-BAO
BOA-BAO
4.4

About the curator

@ines__andre
@ines__andre
Influencer · 123 followers · 30 recs · 8 collections

Frequently asked questions

What is "Restaurantes🍴 | PT"?+
"Restaurantes🍴 | PT" is a curated collection of 14 restaurants by @ines__andre, a Influencer on Peoople with 123 followers. Average rating: 4.4.
Who created this collection?+
@ines__andre is a Influencer on Peoople with 123 followers and 30 recommendations across 8 collections.
How many restaurants are in this collection?+
This collection contains 14 restaurants.
Can I follow this collection?+
Yes! Follow this collection to get notified when new restaurants are added. You can also follow @ines__andre.
How are the restaurants in this collection selected?+
Every item is personally recommended by @ines__andre. Unlike algorithmic lists, these are handpicked by a real person that 123 followers trust.
Collections on PeoopleOver 877,000 themed collections curated by real people. Unlike algorithmic lists, every collection is handpicked by someone who loves what they recommend.