DropsDevopsOrg/ECommerceCrawlers
ECommerceCrawlers
ECommerceCrawlers is an educational collection of Python-based crawler scripts designed to extract data from a variety of public websites, including e-commerce platforms, social media sites, news outlets, and multimedia sources. The project serves as a learning resource for web scraping techniques, offering ready-to-run examples that demonstrate practical data extraction methods.
The toolkit covers a broad range of data types, including product listings and prices from online retail platforms, public posts and profiles from social networking sites, articles from news and blogging platforms, property and accommodation information from real estate and travel booking sites, and images, videos, and music from media-focused websites. It also includes scripts for retrieving business and patent records from public databases.
The repository provides example implementations that handle common scraping challenges, such as managing login sessions and cookies for authenticated content, rotating IP addresses through proxy pools to avoid rate limiting, rendering JavaScript-heavy pages with Selenium, and using asynchronous HTTP requests for concurrent page fetching. Crawlers are built using the Scrapy framework and rely on XPath and CSS selectors for precise data extraction, with configuration stored in separate files for modular management.
