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AppRaven: Apps Gone Free

AppRaven: Apps Gone Free

Simon Zvara

Shopping免费v2.2.11
App Store
评分

4.6

4,505 条评分

星级

★★★★★

最近更新

2026年4月22日

发布日期

2019年12月9日

更新内容

v2.2.11

Bug fixes and performance improvements.

应用信息

开发者
Simon Zvara
分类
Shopping
价格
免费
版本
2.2.11
App ID
1490607195

简介

AppRaven allows you to get paid apps for free! It shows you a daily updated list of apps that are currently available at discounted price, so you will never miss nice app deals ever again! AppRaven has over a million downloads and 150k users. It contains thousands of interesting app collections and honest user reviews. Discover the best apps, connect with people who share the same interests and recommend your favorite apps to each other. Make a wish list and AppRaven will notify you whenever the apps you want the most go on discount. Get AppRaven now and enjoy thousands of paid apps for free! AppRaven’s unique features: Discover New Apps • Check daily updated charts to get an overview of the most popular apps around you. • Browse collections of apps created by other users and create your own. • Sort apps by the categories that interest you the most. • Watch your favourite sellers and get notified whenever they have a new release. • Be the first to see newly released apps and the latest updates. Save Money • Check daily which apps are on sale to save time and money. • Add games to your wish list directly from within the App Store using the share extension and get notified whenever they are on sale or updated. • Track apps to see the history of price changes and updates. • Get many paid games for free every day. Join the Community • Find people who love the same apps as you and share them together. • Connect with friends and give recommendations to each other. • Rate and comment on apps and sellers - your opinions matter. • Reply to other users and give them an advice. What are you waiting for? Get AppRaven now and join the community!

下载量预测

专业 · 预览

预估总下载量

334K225K644K
保守估计乐观估计

3K

低 / 月

4K

预估 / 月

8K

高 / 月

基于4,505 条评分
假设评分率1.4%
应用年龄78 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。