Abstract: This paper chooses to crawl ALA's recruitment advertisement data through Scrapy framework and obtains official population data and salary data as supplement in order to recognize the demand of the jobs in the field of library science .It describes the current working environment and employment situation of librarians and analyzes the requirements for librarians in the new environment by using descriptive statistics and geographic analysis methods to process standardized data including categorized data and numerical data and applying manual classification and text mining methods such as text Rank and TFIDF to textual data. At the same time, after combining curriculum of master of Library project in iSchool, it analyzes whether the curriculum design matches the library requirements, and puts forward some suggestions for library job seekers and training institutions. Based on the recruitment data, the author comprehensively analyzes the library positions from multiple perspectives. Based on the recruitment data, the author comprehensively analyzes the library positions from various angles, and draws conclusions including: (1) the library work is widely distributed and attractive; (2) the current library work is centered on user services; (3) in the digital age, the library technology category is considerable, but the fundamental purpose of technical work is still to improve service quality and meet service needs; (4) the various parts of the library are closely connected, requiring librarians Master the entire information processing process; (5) library recruitment needs staffs with abundant work experience and project experience but the requirements for travel time is limited, and the main academic requirements are master's degree; (6) university libraries and public libraries are the main sources of jobs; (7) the course set by iSchool is generally in line with the needs of the library, but there is still room for improvement in specific details.

Key words: library recruitment, library education, talent demand, library and information science talents, data analysis