A collection of multiple e-commerce dataset samples. Each sample contains over 1,000 records. These datasets are ideal for product trend analysis, pricing strategies, consumer sentiment insights, and more.

Powerful Scrape API for Amazon, Walmart, Shopify, Shopee, eBay. Get product details, rankings, HTML, JSON, and Markdown. 专为电商卖家、数据服务商和工具开发者设计的数据采集API。

powerful web scraping tool designed to extract data from HTTPS-secured websites, including social media, e-commerce platforms, and court records, for analysis, monitoring, or research purposes.

powerful web scraping tool designed to extract data from HTTPS-secured websites, including social media, e-commerce platforms, and court records, for analysis, monitoring, or research purposes.

Free, hands-on guide to scraping Amazon product data with Python (requests + BeautifulSoup) in 2026, plus an optional easier path using Thordata’s Amazon Scraper API.

This project analyzes Amazon sales data to explore customer behavior, best-selling product categories, and seller performance by month and marketplace. Using Python tools like Pandas, Matplotlib, and Seaborn, we turn raw data into clear insights to support data-driven decisions.

RFM-based customer segmentation analysis for an e-commerce dataset. Includes data cleaning, exploratory analysis, Recency-Frequency-Monetary scoring, segment classification, visual dashboards, and strategic business insights. Designed to identify high-value customers and guide targeted marketing actions

📈 Excel dashboard project analyzing e-commerce sales performance with KPIs, charts, and slicers.

Oliveyoung product data extractor

End-to-end machine learning pipeline to predict seller churn for the Olist e-commerce

bike components product scraper

Customer Segmentation using RFM and Pareto Analysis on E-commerce data, with actionable insights and an interactive Power BI dashboard.

lowes product scraper utility

OSEA Malibu product pricing

tokopedia product data extraction

Jiomart categories product extraction

Google Shopping product data

DTLR footwear data scraper

Undefeated footwear pricing data

cdiscount scraper detailed product extraction

Musinsa product data scraper

flipkart scraper product data extractor

Eine Sammlung mehrerer E-Commerce-Datensatzbeispiele. Jedes Beispiel enthält über 1.000 Datensätze. Diese Datensätze sind ideal für die Analyse von Produkttrends, Preisstrategien, Einblicke in die Verbrauchermeinung und mehr.

I built two neural networks to try and perform the binary categorization of customers as either satisfied or unsatisfied with their Ecommerce shipping experience.

lottemart data extraction tool

SQL-based e-commerce performance analysis with Power BI dashboard and executive insights.

askul ecommerce data extractor

approved food product scraper

meesho product details extraction

lazada product data extraction