Price: $11.99
(as of May 23, 2025 09:32:22 UTC – Details)
From the brand
Kallfir’s cutie Pet Outfit
Pet Clothes Costume for Extra Small Breed or Small Breeds
PUPPY CLOTHES
SMALL DOG COSTUME
PUPPY KNITTED SWEATER
Product Dimensions : 0.39 x 0.39 x 0.39 inches; 2.4 ounces
Date First Available : December 8, 2023
Manufacturer : Kallfir’s cutie
ASIN : B0CPT1DYYH
Country of Origin : China
– Soft Dog Shirt – Small Dog Clothes SIZE：XX-Small- Chest Girth:11.81″, Back Length:7.87″, Suggest weight 1.8-3.8 lbs. Dog clothes only suitable for Small Dog breed, such as Teacup dogs, Dachshund,Chihuahua & Yorkie. If your Doggie is between two sizes, please choose the larger one. this xxsmall dog clothes is a teacup dog clothes.
– 4 Small Size – GIRL dog clothes have 4 sizes to choose of this chihuahua clothes XXS~M. The dog outfits also recommended to cats/ kitten and other small animals bunny / rabbit, Guinea pig. this cute small dogs clothes t shirts is for female dog also recommended for male dog.
– Breathable Material – Spring Summer girl dog clothes made of fabric, tiny dog clothes soft & comfortable. Puppy clothes outfits keep your doggie enjoy everyday, With this puppy suit, you no longer have to worry about your dog catching a cold when he sleeps at night.
– Pet Clothes Suitable for Various Occasions – : 1 package contains 4 pieces puppy clothes, Fit for four season wear and night pajamas clothes, also nice props for taking pet picture and a good choose of dog gifts for dog’s birthday
– Extra Small Dog Clothes – female dog clothes Fit for 1.5lbs to 14.8 lbs of the pet, Chihuahua, Pomeranian, Yorkshire Terrier, Pugs, Maltese, Shih Tzu puppy, Poodle, Mini dachshund, Yorkie,Toy poodle, French bulldog puppy, Miniature poodle, min pin and so on
Customers say
Customers find the dog clothes cute and soft, with one mentioning they’re perfect for toy chihuahuas weighing 5lbs or less. The garments are well-made, wash well, and offer good value for money. However, several customers note that the material is thinner than expected.
AI-generated from the text of customer reviews
