This study offers a systematic methodology for preliminary data collection in the design of educational institution mascots, employing web scraping with Scrapy to extract essential design components. The study emphasizes four critical attributes—color palettes, symbolic motifs, character design trends, and face expressions and postures—to guarantee the mascot corresponds with the identity of the Faculty of Informatics at Mahasarakham University. Dependable data sources, such as university mascot galleries, design platforms, and AI-generated datasets, were recognized for data extraction. The Expert Judgment Method was employed to verify the reliability and usefulness of the extracted data, with five design experts evaluating and unanimously endorsing all features. The results validate that the gathered data are precise and appropriate as a basis for mascot design. Furthermore, the findings underscore the efficacy of online scraping in obtaining significant design references. The validation step guarantees that the extracted parts conform to industry standards, strengthening a data-driven methodology in creating a visually engaging and representative mascot.