Restaurante Café La Nou
Restaurant Can Tarranc
Restaurant - Hostal Can Pou
König Girona Nord
Mossegam
Ca La MarĂ­a
Can Pruna
Casa Oms
@marifernandez1579527939

Restaurantes

by @marifernandez1579527939Rookie·235 followers
10 restaurants
10 restaurants curated by a Rookie with 235 followers

Restaurantes que he comido,😉

📩 Items
10
⭐ Avg rating
4.3
đŸ‘€ Curator
@marifernandez1579527939
This collection contains 10 restaurants with an average rating of 4.3. Curated by @marifernandez1579527939.

⭐ Top rated

1
Mossegam
4.5
GOOGLE
2
Casa Oms
4.5
GOOGLE
3
Restaurante Café La Nou
4.3
GOOGLE
4
Restaurant - Hostal Can Pou
4.3
GOOGLE

All (10)

Restaurante Café La Nou
Restaurante Café La Nou
4.3
Restaurant Can Tarranc
Restaurant Can Tarranc
4.1
Restaurant - Hostal Can Pou
Restaurant - Hostal Can Pou
4.3
König Girona Nord
König Girona Nord
4.1
Mossegam
Mossegam
4.5
Ca La MarĂ­a
Ca La MarĂ­a
Can Pruna
Can Pruna
4.2
Casa Oms
Casa Oms
4.5
Tres Quarts De Quinze
Tres Quarts De Quinze
4.2
Restaurant Pizzeria Toscana
Restaurant Pizzeria Toscana
4.3

About the curator

@marifernandez1579527939
@marifernandez1579527939
Rookie · 235 followers · 129 recs · 10 collections

Frequently asked questions

What is "Restaurantes "?+
"Restaurantes " is a curated collection of 10 restaurants by @marifernandez1579527939, a Rookie on Peoople with 235 followers. Average rating: 4.3.
Who created this collection?+
@marifernandez1579527939 is a Rookie on Peoople with 235 followers and 129 recommendations across 10 collections.
How many restaurants are in this collection?+
This collection contains 10 restaurants.
Can I follow this collection?+
Yes! Follow this collection to get notified when new restaurants are added. You can also follow @marifernandez1579527939.
How are the restaurants in this collection selected?+
Every item is personally recommended by @marifernandez1579527939. Unlike algorithmic lists, these are handpicked by a real person that 235 followers trust.
Collections on Peoople — Over 877,000 themed collections curated by real people. Unlike algorithmic lists, every collection is handpicked by someone who loves what they recommend.