• Keshav Kaushik
• Alpana Dass
• Ayush Dhankhar
• Vijay Malik
• Gunjan Chhabra

This research paper explores the process of web scraping stock data using Java and the JSoup library. The stock market is a highly dynamic environment, and having access to real-time stock data is crucial for making informed investment decisions. Web scraping provides an effective solution to extract stock data automatically from multiple sources and consolidate it into a single data source. In this paper, we provide a step-by-step guide on how to web scrape stock data from popular financial websites such as Yahoo Finance and Google Finance using Java and the JSoup library. We also showcase how to store the extracted data in a database and use it for further analysis and visualization. The results of our experiments show that web scraping is a reliable and efficient method for obtaining real-time stock data. Using the JSoup library, we were able to extract data accurately and quickly, which can be useful for traders, investors, and financial analysts. This paper highlights the potential of web scraping for stock data extraction and demonstrates how Java and the JSoup library can be used for this purpose. The findings of this paper can be beneficial for anyone interested in using web scraping for obtaining stock market data.

Cyber Security; Web Scraping; Stock Market; Financial Data Analysis

"Scraping Bee: Web Scrape Stock Data with Java using the JSoup Library", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.g530-g534, May-2023, Available :http://www.jetir.org/papers/JETIR2305678.pdf

"Scraping Bee: Web Scrape Stock Data with Java using the JSoup Library", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppg530-g534, May-2023, Available at : http://www.jetir.org/papers/JETIR2305678.pdf