Cómo entrenar a tu dragón: vuelta a casa

Disney & nick

by @yuniviiasotoInfluencer·378 followers

8 movies

Recommendations recalculated: July 3, 2026, 05:33 · 8 recommendations from Peoople creators

Curated by a Influencer with 378 followers

📦 Items

8

⭐ Avg rating

6.8

🎭 Top genre

Familia

👤 Curator

@yuniviiasoto

This collection contains 8 movies with an average rating of 6.8. Top genres: Familia, Animación, Comedia. Available on disney (5), movistar (1), netflix (1). Curated by @yuniviiasoto.

Top rated

1

Mulán

Familia, Aventura, Animación

Familia, Animación, Fantasía

7.6

IMDB

3

Cómo entrenar a tu dragón: vuelta a casa

Familia, Aventura, Acción, Animación, Fantasía

Genres

Familia 7Animación 5Comedia 4Aventura 3Kids 3Fantasía 3

Where to watch

Disney5

Movistar1

Netflix1

All (8)

Familia, Animación7.6

Zack y Cody: Todos a bordo

Familia, Kids6.4

Mulán

Familia, Aventura7.7

Cómo entrenar a tu dragón: vuelta a casa

Familia, Aventura7.3

About the curator

@yuniviiasoto

Influencer · 378 followers · 324 recs · 21 collections

Frequently asked questions

What is "Disney & nick"?+

"Disney & nick" is a curated collection of 8 movies by @yuniviiasoto, a Influencer on Peoople with 378 followers. Average rating: 6.8.

Who created this collection?+

@yuniviiasoto is a Influencer on Peoople with 378 followers and 324 recommendations across 21 collections.

How many movies are in this collection?+

This collection contains 8 movies. Top genres: Familia, Animación, Comedia.

Where can I watch or find these movies?+

Available on disney (5), movistar (1), netflix (1). Tap any item for direct links.

Can I follow this collection?+

Yes! Follow this collection to get notified when new movies are added. You can also follow @yuniviiasoto.

How are the movies in this collection selected?+

Every item is personally recommended by @yuniviiasoto. Unlike algorithmic lists, these are handpicked by a real person that 378 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.