Amazon Products dataset with Stock Count values

# Description

This sample dataset includes 1,000 real Amazon listings, collected daily from multiple regional Amazon marketplaces (including the US, UK, Germany, and Canada). It contains structured data across three dimensions: **products**, **offers**, and **customer reviews** — supporting analysis of stock levels, pricing strategies, seller dynamics, and buyer sentiment.

The amazon_offers table includes offer-specific details such as price, condition, inventory count, Buy Box status, shipping information, and offer rank. The inventory field is particularly valuable for tracking stock availability per seller and offer over time.

The amazon_products table provides product-level attributes, including title, description, images, monthly sales estimates, technical specifications, and best sellers rank. The reviews table contains verified user feedback, complete with ratings, full text, timestamps, and verification status.

All data is refreshed **daily**, and update frequency can be customized as needed. Contact us to explore full dataset access or delivery tailored to your use case.

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# Sample Use Cases

- **📊 Dynamic Pricing Models:** Use offer-level data to power machine learning pricing engines.
- **🛒 Buy Box Tracking:** Identify which sellers dominate the buy box across time and categories.
- **💬 Sentiment Modeling:** Train LLMs or NLP classifiers on verified review text.
- **📈 Sales Trend Forecasting:** Predict demand by analyzing the interplay between BSR, review velocity, and inventory fluctuations.
- **🧠 Brand & Product Performance Intelligence:** Track product-market fit and competitive pricing effectiveness.

原始信息汇总

Amazon Products dataset with Stock Count values

概述

• 提供商: GroupBWT
• 价格: 免费试用
• 数据集内容: 包含1,000个真实的亚马逊商品列表，每日从多个地区性亚马逊市场（包括美国、英国、德国和加拿大）收集。数据涵盖三个维度：产品、报价和客户评论。

数据描述

• 数据表:
  • AMAZON_OFFERS: 包含报价详情，如价格、库存数量、Buy Box状态等。
  • AMAZON_PRODUCTS: 包含产品级别属性，如标题、描述、销售估计等。
  • REVIEWS: 包含用户反馈，如评分、评论全文等。
• 更新频率: 每日更新，可自定义更新频率。
• 时间覆盖范围: 最近6个月，按天覆盖。

地理覆盖范围

• 国家: 美国（所有州）、英国、法国等56个国家和地区。

主要字段

• AMAZON_OFFERS:
  • PRICE, SALE_PRICE, INVENTORY, IS_BUY_BOX_OFFER, OFFER_RANK, CONDITION, DELIVERY_INFO
• AMAZON_PRODUCTS:
  • TITLE, DESCRIPTION, RATING, PAST_MONTH_SALES, BEST_SELLERS_RANK
• REVIEWS:
  • SCORE, HTML, IS_VERIFIED_PURCHASE, DATE_POSTED

业务需求

1. 定价分析: 分析产品价格、折扣和报价级别竞争。
2. 情感分析: 分析客户评论的情感。
3. 机器学习: 用于推荐系统、需求预测等。
4. 市场分析: 支持市场研究、竞争基准测试。

示例用例

• 动态定价模型: 使用报价级别数据驱动机器学习定价引擎。
• Buy Box跟踪: 识别哪些卖家在不同时间和类别中主导Buy Box。
• 情感建模: 在已验证的评论文本上训练LLM或NLP分类器。
• 销售趋势预测: 通过分析BSR、评论速度和库存波动来预测需求。

数据预览

• AMAZON_OFFERS 示例数据:
  • PRODUCT_ID: 690, PRICE: null, INVENTORY: null
  • PRODUCT_ID: 646, PRICE: 200.00, INVENTORY: 999
  • PRODUCT_ID: 530, PRICE: 34.78, INVENTORY: 999

云区域可用性

• AWS: 亚太（雅加达）、亚太（孟买）、亚太（大阪）、亚太（首尔）等44个区域。

联系信息

• 销售: [e-mail]
• 支持: [e-mail]

搜集汇总

背景与挑战

背景概述

该数据集包含来自亚马逊美英德加站点的1000条每日更新商品数据，涵盖产品信息、卖家报价和用户评论三个维度，支持库存追踪、定价分析和情感建模等应用场景。核心字段包括实时库存量、Buy Box状态、销售排名及已验证评论内容。