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@article{174168,
        author = {Yash Shrikant Chavan and Tanmay prakash Bardade and Rehan Afzal Beg and Nikhil Vinod Ekbote and Rajeshwari Goraknath Dandage and Radha Devee Tripathi},
        title = {Optimum Product Comparison usin Web Scrapping},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4200-4205},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174168},
        abstract = {Online shopping is the popular way of shopping, which is done using the e-commerce applications. Various e-commerce applications allow the consumers to do the online shopping by allowing them to buy the desired product by searching for them. As different e-commerce applications are available over the internet for online shopping, which creates the difficulty among the consumers to take the decision. The project is designed to have a price comparison system to improve the online shopping experience by comparing products from different e-commerce websites. It has various evaluation criteria to be accounted for measuring products such as price, user ratings, and delivery times to help the user make appropriate purchasing decisions. The proposed system uses the web scraping methodology along with the various algorithms and techniques that are discussed in this paper. The system’s intuitive interface displays results graphically, allowing users to effortlessly compare products and save time and money. By focusing on user-centric features, this solution aims to simplify the decision-making process and provide an efficient, reliable tool for online shoppers.},
        keywords = {web scraping, product comparison, price comparison, API Integration, e-commerce, AI.},
        month = {March},
        }