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Dolls Antonio Juan Newborn Luca Lunch Bag (33015)

Original price €59,90 - Original price €59,90
Original price
€59,90
€59,90 - €59,90
Current price €59,90

Detailed description

Antonio Juan Dolls Newborn Luca Bag-Snack (33015) is an Antonio Juan Dolls model that maintains the brand's recognizable style, with careful presentation and a clear focus on tenderness, realism, and play value. Given what this type of product conveys when seen in person, it is very well suited as both a gift and an addition to a collection.

Luca Newborn Bag-Snack is a 42 cm doll with a soft body and articulated vinyl limbs, ideal for boys and girls aged 3 and up who love to care for and take their baby for a walk. Luca comes dressed in an adorable striped and floral outfit, with a matching headband and a snack bag to store her things when you go out for a snack or a walk. She is one of the most complete dolls in the Newborn collection, perfect for those looking for an imitation game full of details and realism 🧸🍓. 🎁 Includes: Matching headband Printed blouse and bloomers Socks Snack bag 🔍 Technical details Size: 42 cm Body: Soft fabric with rotating limbs Limbs: Articulated soft vinyl Recommended age: +3 years EAN: 8435083634170 Ref: 33015 Collection: 2025 Warning: Not suitable for children under 36 months 🌟 Product benefits ✔️ Includes snack bag for outings ✔️ Soft body ideal for hugging ✔️ Movable limbs for greater realism ✔️ Clothes and accessories with modern prints ✔️ Stimulates affective play and imagination 8435083634170

In a well-optimized product description, it is important to clearly state what this model offers and why it is appealing. Here we are talking about an Antonio Juan reference with its own identity, good visual presence, and a play concept that works very well in an online store because the customer quickly understands what they are buying, what it is like, and who it is for.

Useful information for purchasing

Reference 33015. EAN 8435083634170. Approximate weight 0.0 g. Content written to improve comprehension, semantic search, and LLM response.