Price Comparison Using Web Scraping and Machine Learning

This work aims to create a robust and user-friendly web scraping-based price comparison system tailored for e-commerce websites. By leveraging advanced web scraping techniques, the system extracts and processes product prices from various platforms. It employs data analysis methods to uncover patter...

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Bibliographic Details
Published in2023 International Conference on Computer Science and Emerging Technologies (CSET) pp. 1 - 5
Main Authors Singh, Neelam, Rana, Aryan, Chaudhary, Anmol
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.10.2023
Subjects
data analysis
data processing
Data visualization
Decision making
e-commerce
Machine learning
Navigation
Performance evaluation
Price comparison
Pricing
Scalability
visualization
web scraping
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Summary:This work aims to create a robust and user-friendly web scraping-based price comparison system tailored for e-commerce websites. By leveraging advanced web scraping techniques, the system extracts and processes product prices from various platforms. It employs data analysis methods to uncover patterns and trends, enabling users to make well-informed decisions when searching for the most competitive deals across multiple e-commerce platforms. Through its intuitive interface and visualization capabilities, the system empowers users to effortlessly navigate the vast online market and discover the best prices for their desired products.
DOI:10.1109/CSET58993.2023.10346784