LinkedIn Alumni Profile Data Extraction

This research work aims to create a comprehensive database of college alumni by scraping data from LinkedIn profiles. The abundance of information available on LinkedIn makes it an invaluable resource for understanding the career paths, skills, and achievements of former students. Leveraging web scraping techniques, this research work seeks to collect and organize pertinent details such as employment history, educational background, skills, and professional connections. The process involves utilizing Python programming along with web scraping libraries to extract information from public LinkedIn profiles while ensuring compliance with LinkedIn's terms of service and privacy policies. Additionally, data cleaning and structuring techniques will be employed to ensure accuracy and consistency in the collected data. The compiled dataset will serve as a valuable resource for various purposes, including academic research, career services, alumni engagement initiatives, and networking opportunities for current students. By providing insights into alumni trajectories, skill trends, and industry affiliations, this project aims to foster a stronger sense of community and facilitate beneficial connections among alumni and the institution.