This project involves scraping product and business data from various ecommerce websites, including store details, contact information, and product data like pricing, availability, and last price change. The goal was to gather detailed data across multiple business categories to support analytical tasks.
Dealing with captcha challenges and IP blocking mechanisms on ecommerce websites posed significant difficulties. Overcoming these challenges required advanced proxy handling and VPN setup.
A scraping solution was developed using Selenium and BeautifulSoup for data extraction. Requests and VPNs were used to bypass IP blocking, while cloud scrapers were implemented to handle captcha solving. The extracted data was saved in CSV format for easy analysis and reporting.
The solution successfully automated the extraction of business and product data, saving significant time for the client and providing real-time product data updates for analytical purposes.