Abstract

The importance of recruitment in the tourism industry is significant, as the industry heavily relies on high-quality human resources to meet service needs and enhance customer experience. Data analysis is crucial in recognizing hiring patterns, skill requirements, and streamlining the recruitment process. The utilization of web crawling technology serves as a robust tool for swiftly and accurately gathering data from various sources, thereby effectively supporting the data analysis process. The findings of the research reveal that the implementation of web crawling and data analysis technologies has numerous advantages for the tourism sector. Particularly for businesses, utilizing data from recruitment platforms can offer insights into staffing necessities and industry trends in the tourism sector. This information enables companies to create suitable training programs, ensuring employees possess the necessary skills and knowledge for the job. Moreover, analyzing recruitment data aids in identifying high-demand job positions, thus optimizing the recruitment process and reducing time and costs. For job seekers, leveraging data from recruitment websites not only assists in spotting job opportunities but also provides details on average salaries, locations, and the number of hiring companies, facilitating decision-making.