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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.
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.
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 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.
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.