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Restaurant Story 2

Restaurant Story 2

Storm8 Studios

Games免费v1.8.1
App Store
评分

4.2

5,343 条评分

星级

★★★★☆

最近更新

2018年2月8日

发布日期

2014年12月17日

更新内容

v1.8.1

This update from Apple will improve the functionality of this app. No new features are included. - Bug fixes - Performance improvements

应用信息

开发者
Storm8 Studios
分类
Games
价格
免费
版本
1.8.1
App ID
814656403

简介

Restaurant Story 2 is a fresh new cooking experience alive with smiling customers, colorful ingredients and delicious recipes! Learn new dishes, design and decorate, and build the restaurant of your dreams! • COOK traditional and creative meals to cater to the tastes of your adoring customers! • COLLECT healthy, farm-fresh ingredients to learn and cook with! • LEARN new recipes to expand your menu and introduce a variety of new, tasty flavors! • GROW your restaurant and meet new Grocers offering special ingredients like produce, seafood and exotic foods! • EXPLORE a fully 3D world filled with happy customers and colorful scenery! • BUILD your Kitchen with new Stoves, Ovens, Drink Makers and more! • DECORATE with ease! Buy a design once, change as much as you like! • VISIT your friends to leave Tips on their tables! What will you do with your new Restaurant? Come and play the BEST looking FREE restaurant game for your iPhone, iPad or iPod Touch! Restaurant Story 2 is an online only game. Your device must have an active internet connection to play. Please note that Restaurant Story 2 is free to play, but you can purchase in-app items with real money. To delete this feature, on your device go to Settings Menu -> General -> Restrictions option. You can then simply turn off In-App Purchases under "Allowed Content". In addition, Restaurant Story 2 may link to social media services, such as Facebook, and Storm8 will have access to your information through such services. Follow Storm8! www.storm8.com facebook.com/storm8 twitter.com/storm8

下载量预测

专业 · 预览

预估总下载量

267K178K534K
保守估计乐观估计

1K

低 / 月

2K

预估 / 月

4K

高 / 月

基于5,343 条评分
假设评分率2.0%
应用年龄139 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。