web-scraping typescript playwright patchright e-commerce data-extraction retail-analytics product-scraper anti-bot cheerio
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Updated
Feb 6, 2026 - TypeScript
web-scraping typescript playwright patchright e-commerce data-extraction retail-analytics product-scraper anti-bot cheerio
Web scraper for collecting product and review data from e-commerce sites using Scraping Bee, AWS, Selenium, and Pandas. Focuses on cost-effective solutions, user-friendly interfaces, and efficient data extraction and analysis.
Projeto de clusterização de dados de e-commerce utilizando K-Means e DBSCAN para segmentar clientes e produtos.
Proyek ini bertujuan untuk menganalisis perilaku pelanggan dan tren penjualan pada dataset E-Commerce Olist di Brasil. Selain itu, saya menggunakan teknik RFM Analysis dan K-Means Clustering, untuk mengidentifikasi segmen pelanggan utama agar dapat memberikan rekomendasi strategi pemasaran yang dipersonalisasi.
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woocommerce scraper for ecommerce data
A data-driven analysis project focused on identifying e-commerce revenue leakage and developing customer retention strategies using Python and SQl.
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Performed exploratory data analysis on a cleaned e-commerce orders dataset using Microsoft Excel. Computed key statistics including count, mean, median, minimum, and maximum across total price and unit price columns to uncover patterns and summarize the dataset's numerical distribution.
Amazon product data scraper
Original research dataset by PerfumeM. Most-searched fragrance in every US state, 12-month Google Trends analysis across 30 top fragrances. CC BY 4.0.
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