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Pet World - My Animal Hotel

Pet World - My Animal Hotel

Trophy Games Development A/S

Games免费v1.5.2
App Store
评分

4.6

5,231 条评分

星级

★★★★★

最近更新

2024年11月4日

发布日期

2017年4月19日

更新内容

v1.5.2

- updated ads provider

应用信息

开发者
Trophy Games Development A/S
分类
Games
价格
免费
版本
1.5.2
App ID
1163762034

简介

The animals are coming! When pet owners go on holidays or on business trips, they certainly don’t want to leave their furry friends all alone. That’s where you come into play: care for cats, dogs, hamsters, chinchillas and rats, play with them and return happy pets to their owners. ***Care for 5 different types of pets and play with them!*** In your PetHotel, there's always a lot to do! Many pet owners come to your pension and demand the best care for their loved friends, so you'll need to give everything to make the animals' stay as cozy as possible. Play with your guests and make sure they have everything they need. ***Complete exciting quests and make sure all the animals are happy*** You'll never get bored in the hotel, thanks to the exciting quests you'll have to complete in order to advance in the game. Expand the hamsters' enclosures, buy new toys for the dogs! There is so much to be done, but of course you'll be rewarded for your work. ***Lots of different breeds and beautiful coat colors*** The cute and realistic 3D animations in PetHotel will make the PetHotel experience all the more enjoyable for all our animal friends. Watch the pretty Siamese groom herself and the happy Labrador frolic. Reward your pets with their favorite treats after washing them, and don’t forget to cuddle them! * Open your own pet hotel for hamsters, dogs, cats, and many more! * Expand the animals' enclosures and fill them with great items * Complete quests and collect coins to improve your hotel Get started, open up your pension and look after all the animals! Visit us on Facebook: facebook.com/tivolamobile

下载量预测

专业 · 预览

预估总下载量

262K174K523K
保守估计乐观估计

2K

低 / 月

2K

预估 / 月

5K

高 / 月

基于5,231 条评分
假设评分率2.0%
应用年龄110 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。