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Sunbasket Meal Delivery

Sunbasket Meal Delivery

Sun Basket, Inc.

Food & Drink免费v3.3.2
App Store
评分

4.6

17,269 条评分

星级

★★★★★

最近更新

2026年4月3日

发布日期

2016年11月7日

更新内容

v3.3.2

Update the app to enjoy the new features, performance improvements, and bug fixes to provide you with the best experience. Comments or feedback about the app? Tell us at ux@sunbasket.com

应用信息

开发者
Sun Basket, Inc.
分类
Food & Drink
价格
免费
版本
3.3.2
App ID
1147936531

简介

YOUR PERSONAL CHEF IN A BOX Here comes the Sunbasket, your go-to source for fresh prepared meals and mouthwatering recipes featuring organic fresh produce. We partner with the country’s top farmers, producers, and fishermen to bring the best ingredients under the sun: responsibly-sourced meats, sustainable seafood, and peak-season flavors. Discover nutritious and delicious recipes crafted by our team of award-winning chefs. From breakfast to dinner to everything in between, we pick, prep, and perfect our meals—so you can take it easy. DINNER IN MINUTES Short on time? Just heat up our Fresh & Ready dinners for a no-fuss meal in as little as 6 minutes. Light on effort and rich in flavor, these fresh (never frozen!) dinners make healthy eating easy peasy. FRESH WEEKLY RECIPES We picked the best ingredients, now you pick the best meals. Choose your favorite meal plan or mix and match from over 24 weekly recipes. Either way, variety is always on the menu. DELIVERED TO YOUR DOOR Presto! Your go-to dinner is now your come-to dinner. With one simple tap (and a little happy dance), get all your favorite meals delivered to your doorstep. EAT SOMETHING AWARD-WINNING Our team of award-winning chefs develop, test, and perfect each dish, so you get five-star deliciousness in every bite. It’s like having your own personal sous chef. FLEXIBLE SUBSCRIPTION Manage your subscription anytime, anywhere. Use our app to schedule weekly deliveries, customize your menu, and discover quick and easy recipes. Need to skip, cancel, or forward your box? Sure thing.

下载量预测

专业 · 预览

预估总下载量

1.3M863K2.5M
保守估计乐观估计

7K

低 / 月

11K

预估 / 月

21K

高 / 月

基于17,269 条评分
假设评分率1.4%
应用年龄116 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。