Global Beauty & Personal Care Product Data

# **Description**

This dataset provides structured, up-to-date product-level information from 18 of the world’s most prominent beauty and personal care retailers.

It includes key attributes such as price, discount, stock status, product ratings, and review counts — all collected from public eCommerce listings.

The data is ideal for price monitoring, competitive benchmarking, assortment optimization, and ML/AI-powered analytics in the beauty, retail, and CPG sectors.

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# **Workflow & Access**

This listing includes a sample dataset available via Snowflake’s Secure Data Sharing.

Once subscribed, the sample table will appear in your Snowflake account as a read-only database, ready for immediate querying with SQL.

We offer full access to regularly updated datasets from any of the 18 supported retailers and regions upon request.

Update frequency can also be customized — from weekly to daily — based on your specific needs.

Please contact us to configure retailer selection, country coverage, and delivery schedule.

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# **Sample Fields Include**

id, external_id, sku

name, variation_name, description

brand_name, sub_brand_name, trademark

category_id, category_breadcrumbs, subcategories

price_ati, price_old_ati, price_discount_ati, rrp_price

stock, stock_level

average_rating, number_of_reviews

image_url, url

currency, gtin, base_unit_price, base_unit_type, base_unit_number

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# **Data Sources**

The data is collected directly from the public websites of 18 international beauty retailers.

These include global platforms like **Sephora, Amazon, Ulta**, and **Douglas**, as well as niche and regional leaders such as **Notino, Rossmann, DM, YesStyle**, and **Farfetch**.

We support localization by region or country and can tailor datasets for specific geographies or channels.

Product data is not matched across retailers in this version, but cross-retailer deduplication and matching can be provided as an additional service.

原始信息汇总

Global Beauty & Personal Care Product Data

数据集概述

• 提供来自18家全球领先美容零售商的商品级结构化数据
• 包含Sephora、Notino、Ulta、Douglas等知名零售商
• 数据字段涵盖价格、折扣、库存状态、产品评分等关键属性

核心特征

数据内容

• 价格数据：price_ati、price_old_ati、price_discount_ati、rrp_price
• 库存信息：stock、stock_level
• 用户评价：average_rating、number_of_reviews
• 产品标识：id、external_id、sku、gtin
• 分类信息：category_id、category_breadcrumbs、subcategories
• 品牌信息：brand_name、sub_brand_name、trademark

技术规格

• 更新频率：每日更新（可定制为每周）
• 地理覆盖：全球（可按国家/地区定制）
• 云区域支持：AWS亚太地区（雅加达、孟买、大阪、首尔等48个区域）

应用场景

商业分析

• 价格监控：实时跟踪18+零售商的产品价格
• 竞争对标：跨品牌/品类/地区的价格基准分析
• 市场分析：产品分布、品牌活动和品类趋势研究

技术实现

• 交付方式：通过Snowflake安全数据共享
• 访问方式：订阅后以只读数据库形式提供
• 扩展服务：支持跨零售商去重和匹配（需额外配置）

数据来源

• 采集自18家国际美容零售商的公开电商网站
• 包含Sephora、Amazon、Ulta、Douglas、Notino、Rossmann等平台

支持信息

• 提供商：GroupBWT（15年数据解决方案经验）
• 联系方式：
  • 销售：[e-mail]
  • 支持：[e-mail]
• 试用选项：提供样本数据集免费试用

搜集汇总

背景与挑战

背景概述

该数据集收录了全球18家领先美容零售商的产品信息，包含价格、折扣、库存及用户评价等核心字段，支持通过Snowflake平台进行SQL查询。数据可按需定制更新频率和覆盖范围，适用于零售分析和机器学习应用。