4.8
4,432,394 条评分
★★★★★
2026年5月12日
2011年10月19日
更新内容
v2026.19.2Thanks for using OfferUp! Introducing our redesigned Item Posting Flow, Simplified one-page flow with Draft Support for your convenience. Give it a spin and let us know what you think!
应用信息
- 开发者
- OfferUp Inc.
- 分类
- Shopping
- 价格
- 免费
- 版本
- 2026.19.2
- App ID
- 468996152
简介
Buy. Sell. Letgo. - OfferUp and Letgo are now one big marketplace. Why you’ll love using OfferUp: • The biggest mobile marketplace for local buyers and sellers. • List an item using your phone or tablet in as little as 30 seconds. • Know who you’re dealing with through reputation and safety features. • Browse local items with thousands of new postings daily. • Message buyers and sellers securely from within the app. • Build a reputation with your unique seller profile page. • Browse items by image and sort by category or location. • Join millions of people using OfferUp across the country. OfferUp is the easiest way to buy and sell locally. "I have found several items at a great price on OfferUp, saving me tons of money" - Elaine "We offered up 3 items in minutes and sold them within 48 hours. Doesn't get much easier than that!” - Summer "I made $1,000 by offering up my daughter's unused items on OfferUp" - Claudia Download OfferUp today to sell your used items and discover heaps of hidden treasures. If you subscribe to Promote Plus (1 month) via iTunes: Payment will be charged to iTunes Account at confirmation of purchase. Subscription automatically renews for $19.99 unless auto-renew is turned off 24 hours before the end of the current period. Account will be charged for renewal within 24 hours prior to the end of the current period at the rate of Promote Plus. Subscription and auto-renewal may be managed by going to Account Settings after purchase. Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription, where applicable. Terms: https://offerup.com/terms/ Privacy Policy: https://offerup.com/privacy/
下载量预测
预估总下载量
1.3M
低 / 月
1.9M
预估 / 月
3.6M
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