Automated Web Scraping for Telecom Corpus Application

The necessity for effective techniques of data collection and analysis has grown as the amount of data available on the internet has increased. One technique that enables us to take information from websites and save it for later examination is web scraping. By creating a tool that can gather pertinent information from telecom websites and store it in a structured fashion for analysis, we hope to automate the process of web scraping for telecom corpus as part of this project. Python is the programming language that we employ, along with several packages for web scraping, including Beautiful Soup and Selenium. This paper seeks to provide insights into the methodology of creating a web application that a certain user could use to scrape telecom websites.