Research on Recruitment Information Data Analysis Based on Python Crawlers

Abstract

The current teacher recruitment market presents an imbalance between supply and demand, and this contradiction between supply and demand not only affects the quality of school education but also puts pressure on the career development of teachers and the recruitment market. This study uses Python web crawler technology to crawl physical education teacher recruitment information and extract data from it. After visualization, analyze the data on salary and benefit levels, city demand, education, and ability requirements. The study found that in our country for physical education teacher's education is not high, undergraduate and specialist opportunity positions accounted for 44% and 45% of the total number of positions, respectively, and master's degree positions accounted for only 5%. In terms of salary, there is not much difference between a college degree and a bachelor's degree. In contrast, the average salary of a master's degree is 41% higher than the average salary of a bachelor's degree. Its lower limit is only 24.90% more, but the upper limit is 1.5 times higher than the upper limit of undergraduate salary. First-tier cities pay more attention to physical education and offer superior salaries, especially Beijing, Shanghai, and Guangzhou. In addition, coastal cities usually have more job opportunities than cities in the central region.