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Myntra Products

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Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/9ffa95d5-ec55-40ba-9559-3bcb9cf694a1/Bright-Data_Myntra-Products
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资源简介:
Note: This is a sample, for more information please contact the provider. Gain access to critical product attributes such as product ID, title, detailed descriptions, ratings, reviews, pricing, and seller information. Explore product specifications, available sizes, variations, customer feedback, seller offerings, and exclusive deals. Whether you're analyzing Myntra's fashion landscape or refining your e-commerce strategy in the fashion and lifestyle sector, this dataset provides actionable insights to optimize your business approach. Key Features: Product ID, title, descriptions, ratings, reviews, pricing, and seller information. Insights into product specifications, available sizes, and variations. Customer feedback, seller offerings, exclusive deals and more! Use Cases: 1.Products with the Highest Rating Subset- Discover top-rated products on Myntra with this specialized subset. Explore items that have achieved a perfect score of 5, along with key attributes like product titles, ratings, pricing details, and seller information. Easily identify and explore highly-rated products to make informed purchasing decisions. 2.Products with more than 100 reviews- Focus on products with substantial customer feedback by exploring this specific subset. Access a curated selection of items that have garnered more than 100 reviews, providing deeper insights into their quality, fit, and overall satisfaction. Make informed purchasing decisions based on peer feedback and assurance. Dataset Benefits: -Empowers businesses, researchers, and analysts. -Gain insights for market analysis, pricing strategies, customer behavior, and competitor evaluation. -Crucial attributes include product ID, title, ratings, reviews, pricing details, and seller information.
提供机构:
Bright Data
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供Myntra平台的产品核心信息,包括产品属性、客户评价及商家数据,支持电商分析和市场研究。特别包含高评分和高评论量的产品子集,助力商业决策和消费者洞察。
以上内容由遇见数据集搜集并总结生成
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