4.2
112,881 条评分
★★★★☆
2026年5月11日
2017年5月8日
更新内容
v2026.17.3Thanks for driving for Lyft. We update our app regularly to make your driving experience better. Every update of our Lyft app includes improvements in speed and reliability. Lyft Driver supports devices using iOS 15 or higher. While you will still be able to install Lyft Driver on an older device or OS, you will be using an old version of the app and may miss out on support or new features.
应用信息
- 开发者
- Lyft, Inc.
- 分类
- Business
- 价格
- 免费
- 版本
- 2026.17.3
- App ID
- 1203077485
简介
WHY LYFT? Earn good money and meet great people. EARN FAST Get paid quickly with options to cash out instantly, daily, and weekly. Plus, earn bonuses, rewards, and keep 100% of rider tips. SEE YOUR PAY UPFRONT View earnings and trip details before accepting every ride. HIGHEST-RATED RIDERS Lyft has the best riders in town. They’re friendly, generous, and highly-rated. FLEXIBLE Earn money on your schedule. Choose where you drive—and where you don’t—with location filters. GET 24/7 SUPPORT With on-demand help and safety features, you can hit the road with peace of mind. APPLE CARPLAY Lyft Maps connects to your in-car system so your directions, ride details, and music are all in one place. GET STARTED Apply today to start earning with Lyft. — Apple CarPlay is a trademark of Apple Inc. For Lyft drivers, continued use of GPS running in the background can dramatically decrease battery life. By downloading the app, you agree (i) to receive communications from Lyft, including push notifications; and (ii) to allow Lyft to collect your device's language settings. You can opt out of receiving push notifications through your device settings. You may see a different experience in select cities. If Upfront Pay is not available in your city, then you will be paid for each minute and mile of the trips you complete, based on your city’s per-minute and per-mile rates. Upfront Pay is not available in Washington state, New York City, Portland or Toronto.
下载量预测
预估总下载量
103K
低 / 月
137K
预估 / 月
205K
高 / 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。
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下载数据为预估值 · 每6小时更新