This research is Quasi Experimental research that aims to develop a method on how to scrape profile data and information that is publicly available in Social Media sites specifically Facebook to help the Alumni Affairs and Placement Services Office in gathering data for the Alumni Tracer. The research focuses on the assessment of data of Alumni of the College of Computer Studies from the Laguna State Polytechnic University that are needed by the Alumni Services and Placement Office for the year 2022 & 2023. The collected data using the Web Scraper will only be collected through the publicly available data in their respective webpage/platform using proper methods and means. The research was developed using the Kanban software development methodology and the program used Zhang and Shasha’s Algorithm and Tree Pattern Matching Algorithm in developing the program to use in web scraping. The researcher tested and tried different approach and techniques in scraping publicly available data and were tested by its accuracy and functionality. The acceptability of the research is also determined by conducting a survey in terms of Functionality, Reliability, Usability, Efficiency, Maintainability, Portability and Compliance. The acceptability of the web scraping program got an Overall Mean of 4.37 and an Overall Standard Deviation of 0.65 that is translated as Highly Acceptable.