Amazon and Walmart Combined Dataset

This dataset offers a detailed view of pricing, ratings, and other critical attributes across these two major e-commerce giants. Key Features: - Cross-Platform Data: This dataset integrates Amazon and Walmart products, aligning similar items using Universal Product Codes (UPC) for seamless comparisons. - Comprehensive Attributes: Access essential data points such as titles, prices, ratings, reviews, categories, and availability. - Powerful Applications: Ideal for competitive analysis, price optimization, e-commerce research, and building recommendation systems. Popular Use Cases: - Competitive Intelligence: Compare product offerings, pricing, and customer sentiment between Amazon and Walmart. - Tracking Popular Products: Identify trending and highly-rated items to stay ahead of market trends. - Enhancing Product Strategies: Optimize inventory, improve pricing strategies, and identify opportunities for growth. - Building Recommendation Systems: Provide personalized product suggestions based on detailed cross-platform insights. Dataset Highlights: - Top-Rated Products: Identify products with exceptional ratings to guide consumer decisions and drive business strategies. - Products with More Than 100 Reviews: Gain insights into popular products with significant customer feedback for robust analysis. Examples of Dataset Usage: - Best Sellers Dataset: Monitor highly-rated and top-selling products across Amazon and Walmart to inform your e-commerce strategies. - Top Rating Products Dataset: Discover items with exceptional quality, helping consumers make informed choices while enabling businesses to boost their reputation and sales. Columns Included: - URL: Product URL - Title (Amazon/Walmart): Product titles for easy identification - Seller Name (Amazon/Walmart): Seller information for comparative analysis - Brand (Amazon/Walmart): Product brand - Description (Amazon/Walmart): Detailed product descriptions - Empower Your E-Commerce Strategy <p><br/></p> Unlock the full potential of cross-platform analytics to outperform competitors and drive data-driven decisions. Note: This is a sample.本数据集详细展现了两大头部电商平台的定价、评分及其他关键属性信息。 核心特性： - 跨平台数据：本数据集整合了亚马逊（Amazon）与沃尔玛（Walmart）的商品数据，并通过通用产品代码（Universal Product Codes, UPC）对相似商品进行匹配，以实现流畅的跨平台对比。 - 全面属性覆盖：可获取商品标题、价格、评分、评论、分类及供货状态等核心数据点。 - 强大应用价值：适用于竞争分析、定价优化、电商研究以及推荐系统构建等场景。 典型应用场景： - 竞争情报：对比亚马逊与沃尔玛的商品阵容、定价及客户情感倾向。 - 热门商品追踪：识别趋势爆款与高评分商品，紧跟市场动向。 - 优化产品策略：优化库存管理、完善定价方案，并挖掘业务增长机遇。 - 构建推荐系统：基于详实的跨平台洞察，提供个性化商品推荐。 数据集亮点： - 高评分商品：筛选出评分优异的商品，为消费者决策与商业策略制定提供参考。 - 评论数超百条的商品：获取拥有大量用户反馈的热门商品信息，支撑深度分析。 数据集应用示例： - 畅销商品数据集：监控亚马逊与沃尔玛平台的高评分、热销商品，为电商策略制定提供依据。 - 高评分商品数据集：发掘品质出众的商品，既助力消费者做出明智选择，也帮助商家提升品牌口碑与销售额。 包含字段： - URL：商品链接 - 标题（亚马逊/沃尔玛）：便于识别的商品标题 - 卖家名称（亚马逊/沃尔玛）：用于对比分析的卖家信息 - 品牌（亚马逊/沃尔玛）：商品品牌 - 商品描述（亚马逊/沃尔玛）：详实的商品详情介绍 赋能您的电商战略 解锁跨平台分析的全部潜力，助力您在竞争中脱颖而出，实现数据驱动的决策。 注：本数据集为示例版本。

搜集汇总

背景与挑战

背景概述

该数据集整合了亚马逊和沃尔玛的产品数据，包含价格、评分、评论等关键属性，支持通过UPC码进行跨平台产品比对，适用于竞争分析、市场趋势研究和推荐系统构建等应用场景。