non-uniform test product data
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Updated
Aug 31, 2017
non-uniform test product data
Analyze product data for an online sports retail company to optimize revenue.
A Python library that lets you easily scrape data from popular websites using basic product information
💹 seasonal patterns to GROW REVENUE • 2023
The Lidle Scrapy Scraper is designed to efficiently scrape product data from Lidle's website. The project consists of several components, including spiders, pipelines, middlewares, and settings configurations, to ensure robust data extraction and handling.
shopee-scraper is a Python-based web scraping tool designed to extract product data and reviews from Shopee's e-commerce platform
A simplified Amazon data scraper model. Made with Puppeteer.
Comprehensive HTML reference guide for Amazon's Product Advertising API (PAAPI) 5.0. Features detailed documentation on SearchItems, GetItems, GetVariations, and GetBrowseNodes operations with request parameters, resources, error handling, and SDK support for developers and affiliate marketers.
Python scripts for Amazon TR: brand categorization, ASIN finder, and product detail scraper.
A Python-based tool for validating Amazon Standard Identification Numbers (ASINs) and collecting detailed product information from Amazon.com.tr. Features batch processing with parallel execution, checkpoint saving, and robust error handling. Ideal for data validation, market research, and inventory management tasks.
A personal shopping assistant using AI for product analysis, sentiment insights, and tailored recommendations.
A powerful eBay scraper built with Scrapy that extracts product listings, prices, seller data, and auction information from eBay marketplaces worldwide. Features anti-bot protection, price intelligence, multi-format export (CSV/JSON), and global eBay site support.
Scrape Amazon product data such as Product Name, Product Images, Number of Reviews, Price, Product URL, and ASIN.
High-performance, extensible web scraper for e-commerce product data
A Python-based scraper for extracting product details from dynamic and static eCommerce pages using a smart 3-tier fallback system and domain-based selector memory.
💬 Statistics | R | SQL
A clean, modular, and ML-powered pipeline for grouping and classifying electronic product listings (Laptops & TVs) from noisy vendor specifications using SBERT embeddings, threshold tuning, and confidence scoring. Includes advanced insights, bundle detection, and optional bonus challenges.
Amazon data extractor for products and reviews
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