Laptop Data Collection and Web Scraping

Developed a web scraping solution to collect laptop specifications, pricing information, ratings, and product details from e-commerce websites. The project involved automated data extraction, data cleaning, preprocessing, and storage for further analysis. Utilized Python, Selenium, BeautifulSoup, Pandas, and NumPy to build an efficient scraping pipeline capable of handling dynamic web pages and large datasets. The collected data was analyzed to identify market trends, pricing patterns, and product comparisons.