shopee-scraper is a Python-based web scraping tool designed to extract product data and reviews from Shopee's e-commerce platform
-
Updated
Jan 4, 2025 - Python
shopee-scraper is a Python-based web scraping tool designed to extract product data and reviews from Shopee's e-commerce platform
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.
A Python library that lets you easily scrape data from popular websites using basic product information
Scrape Amazon product data such as Product Name, Product Images, Number of Reviews, Price, Product URL, and ASIN.
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.
Extract products, prices, and ratings
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.
Python scripts for Amazon TR: brand categorization, ASIN finder, and product detail scraper.
Amazon data extractor for products and reviews
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.
Add a description, image, and links to the product-data topic page so that developers can more easily learn about it.
To associate your repository with the product-data topic, visit your repo's landing page and select "manage topics."