Guilty by Olivier, Parque das Nações
100 Montaditos
McDonald's
Sushisan Santos
Popolo
Mercado da Ribeira
Armazéns do Chiado
Burger King
@mynameistatianad

Restaurantes em Lisboa 🍕

by @mynameistatianadInfluencer·753 followers
12 restaurants
12 restaurants curated by a Influencer with 753 followers
📦 Items
12
Avg rating
4.2
👤 Curator
@mynameistatianad
This collection contains 12 restaurants with an average rating of 4.2. Curated by @mynameistatianad.

⭐ Top rated

1
100 Montaditos
4.4
GOOGLE
2
Sushisan Santos
4.4
GOOGLE
3
Mercado da Ribeira
4.4
GOOGLE
4
Armazéns do Chiado
4.4
GOOGLE

All (12)

Guilty by Olivier, Parque das Nações
Guilty by Olivier, Parque das Nações
4
100 Montaditos
100 Montaditos
4.4
McDonald's
McDonald's
3.8
Sushisan Santos
Sushisan Santos
4.4
Popolo
Popolo
4.1
Mercado da Ribeira
Mercado da Ribeira
4.4
Armazéns do Chiado
Armazéns do Chiado
4.4
Burger King
Burger King
3.9
Sushicome (Saldanha)
Sushicome (Saldanha)
The Great American Disaster
The Great American Disaster
3.9
100 Montaditos
100 Montaditos
4.3
Sushi Mish Mish
Sushi Mish Mish
4.4

About the curator

@mynameistatianad
@mynameistatianad
Influencer · 753 followers · 134 recs · 19 collections

Frequently asked questions

What is "Restaurantes em Lisboa 🍕"?+
"Restaurantes em Lisboa 🍕" is a curated collection of 12 restaurants by @mynameistatianad, a Influencer on Peoople with 753 followers. Average rating: 4.2.
Who created this collection?+
@mynameistatianad is a Influencer on Peoople with 753 followers and 134 recommendations across 19 collections.
How many restaurants are in this collection?+
This collection contains 12 restaurants.
Can I follow this collection?+
Yes! Follow this collection to get notified when new restaurants are added. You can also follow @mynameistatianad.
How are the restaurants in this collection selected?+
Every item is personally recommended by @mynameistatianad. Unlike algorithmic lists, these are handpicked by a real person that 753 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.