Web Scrapping Based Flipkart Data Analytics and Visualization

Prachi J. Wanjari

Title:
Web Scrapping Based Flipkart Data Analytics and Visualization

Authors:
Prachi J. Wanjari

Cite This Article :

Prachi J. Wanjari "Web Scrapping Based Flipkart Data Analytics and Visualization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.420-425, URL: https://www.ijtsrd.com/papers/ijtsrd78539.pdf

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Abstract :
Large amounts of data are produced by e-commerce companies like Flipkart, which offer valuable insights into consumer attitudes, industry trends, and product performance. Using Beautiful Soup and Scrapy for data crawling, Pandas and NumPy for data pre-processing, and Matplotlib and Seaborn for visualization, the current study focuses on online scraping-based Flipkart data analysis and visualization. Text Blob, Vader, and LSTM are examples of Natural Language Processing (NLP) systems that help with sentiment analysis of customer evaluations. The system is a web application built on Streamlit that provides interactive dashboards for analysing sales trends, sentiment data, and price movements. Future advances would involve machine learning for demand prediction and expanding data collection across several e-commerce platforms to improve market decision-making. The research integrates web scraping, analytics, and business intelligence.

Keywords :
Web Scrapping, Data Analysis, Data Visualization, Data Mining, Flipkart data Extraction, Beautiful Soap, Scrapy, price comparison, E-commerce Analytics, Python Web Scrapping, Consumer.

Publication Details:

Unique Identification Number : IJTSRD78539

Published In : Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025

Page Number(s) : 420-425

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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