• D Rajeev
• Arun Badiger
• Prabhu A Angadi
• Prof. Reshma B

In the current digital landscape, customer reviews significantly influence e-commerce sales. From small items to major products like automobiles, companies rely heavily on authentic user feedback to enhance their services and drive sales. However, gathering reviews across diverse platforms can be cumbersome. This project addresses that challenge by using a web scraper to extract relevant review data efficiently. Leveraging Python, along with libraries such as BeautifulSoup and Selenium, the system processes dynamic content and includes machine learning for real-time analysis while maintaining ethical scraping standards.

JavaScript, web design,userinterface (UI),front-enddevelopment,animations,interactive webtools, parsing, webtechnology, userengagement, front-end functionality, and data visualization.

"WEB SCRAPER: TOOL FOR REVIEW EXTRACTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.377-380, July-2025, Available :http://www.jetir.org/papers/JETIRGX06068.pdf

"WEB SCRAPER: TOOL FOR REVIEW EXTRACTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp377-380, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06068.pdf