LinkedIn data mining refers to the procedure of searching, scraping, modifying, analyzing, and filtering raw data to obtain useful, pertinent information from LinkedIn that supports commercial decision-making. The LinkedIn data mining process offers helpful and real data, frequently displayed in charts, graphics, spreadsheets, and graphs, which lessen the risks associated with decision-making. Thus, LinkedIn data scraping is essential in transforming LinkedIn data into a more precise and informative structure, which enhances the work of researchers.