Salmón Gurú
Decadente
Casa Mono
Fellina Restaurante
Reina Sofía
Cachivache Taberna
El Kiosko Ferraz
La Buha
@donsergioalonso

Tomar algo en Madrid 🍹

by @donsergioalonsoUnicorn·37K followers
20 restaurants

Recommendations recalculated: · 20 recommendations from Peoople creators

20 restaurants curated by a Unicorn with 37K followers

Queda todo claro 👇

📦 Items
20
Avg rating
4.2
👤 Curator
@donsergioalonso
This collection contains 20 restaurants with an average rating of 4.2. Curated by @donsergioalonso.

⭐ Top rated

1
Restaurante Coque
4.7
GOOGLE
2
Salmón Gurú
4.6
GOOGLE
3
La Sifonería
4.6
GOOGLE
4
Reina Sofía
4.5
GOOGLE

All (20)

Salmón Gurú
Salmón Gurú
4.6
Decadente
Decadente
4.3
Casa Mono
Casa Mono
4
Fellina Restaurante
Fellina Restaurante
4.1
Reina Sofía
Reina Sofía
4.5
Cachivache Taberna
Cachivache Taberna
4.3
El Kiosko Ferraz
El Kiosko Ferraz
4
La Buha
La Buha
3.9
Restaurante Coque
Restaurante Coque
4.7
La Sifonería
La Sifonería
4.6
Terraza de El Corte Inglés de Callao - Mirador Madrid
Terraza de El Corte Inglés de Callao - Mirador Madrid
Pointer Madrid
Pointer Madrid
3.4

About the curator

@donsergioalonso
@donsergioalonso
Unicorn · 37K followers · 142 recs · 15 collections

Frequently asked questions

What is "Tomar algo en Madrid 🍹"?+
"Tomar algo en Madrid 🍹" is a curated collection of 20 restaurants by @donsergioalonso, a Unicorn on Peoople with 37K followers. Average rating: 4.2.
Who created this collection?+
@donsergioalonso is a Unicorn on Peoople with 37K followers and 142 recommendations across 15 collections.
How many restaurants are in this collection?+
This collection contains 20 restaurants.
Can I follow this collection?+
Yes! Follow this collection to get notified when new restaurants are added. You can also follow @donsergioalonso.
How are the restaurants in this collection selected?+
Every item is personally recommended by @donsergioalonso. Unlike algorithmic lists, these are handpicked by a real person that 37K 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.