4.6
6,957 条评分
★★★★★
2026年5月4日
2018年6月15日
更新内容
v1.96.0We've been trying to improve the app performance, so that you wouldn't notice. Spoiler: we did it!
应用信息
- 开发者
- Urent
- 分类
- Health & Fitness
- 价格
- 免费
- 版本
- 1.96.0
- App ID
- 1352346712
简介
Urent – e-scooter and bike share app. If you want to go for a ride with friends or get to your favourite coffee shop quickly and easily – Urent is a service for you! Fast and convenient way to move around the city, hundreds of parking lots where you can rent an electric scooter and leave it afterwards. It’s simple! - Download the app and register – it takes a couple of minutes, only a phone number and a bank card are needed. - Find the nearest e-scooter on the map in the app. - Scan QR-code on the wheel, choose tariff plan and press "Start" - Unlock the scooter, push off and press the gas – the lever on the right side of the wheel. - Hundreds of parking lots to lock the scooter easily and finish the rent. - Keep an eye on the charge of the scooter to find parking complete the rent in time. MULTI-RENT Take up to 5 scooters and/or bikes per one account – just rent a few e-scooters or bicycles by scanning their QR-codes. BOOKING AND STANDBY MODE Book a bike or electric scooter in the app, and it will wait for you for 10 minutes. You can close the lock and put the e-scooter in standby mode during rental – rent continues, but the lock will be closed, you can leave for a few minutes without worrying about your scooter safety. More information about service use terms on our website https://urent.ru/rules/ Service is available in Moscow, St. Petersburg, Kazan, Yekaterinburg, Novosibirsk and the largest cities in the South of Russia, such as Sochi, Krasnaya Polyana, Anapa, Krasnodar, Rostov-on-Don and others. The rental rules may differ for each city, so we recommend checking them before renting. In general, sharing is similar to Whoosh, Eleven, Lite, Busyfly, YES Sharing, Lime, Bird, Dott, Voi, Tier, Circ, EnerGo and others. E-scooter and bike sharing Urent – simple, pleasant and fast way to get wherever you want!
下载量预测
预估总下载量
5K
低 / 月
7K
预估 / 月
10K
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