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基于Python的招聘数据爬虫设计与实现
引用本文:常逢佳,李宗花,文 静,常逢锦.基于Python的招聘数据爬虫设计与实现[J].教育技术导刊,2019,18(12):130-133.
作者姓名:常逢佳  李宗花  文 静  常逢锦
作者单位:1. 淮阴师范学院 计算机科学与技术学院;2. 淮阴师范学院 教育科学学院,江苏 淮安 223301
基金项目:江苏高校自然科学研究项目(18KJB190001);江苏省高校自然科学研究一般项目(18KJB520006)
摘    要:随着就业压力日渐增加,准确全面地获取数据可以帮助高校学生规避就业风险、正确认识自身价值,具有相当重要的研究价值。基于Python的网络动态招聘数据抓取方案利用requests库抓取Ajax异步请求多页数据源,抓取的内容更为全面;对抓取到的招聘数据进行统计分析,对多线程效率进行对比分析,显示爬虫具有良好的适应性。该方案抓取的网络资讯在科研、求职等方面具有一定实用价值。

关 键 词:网络爬虫  招聘  Python  数据分析  
收稿时间:2019-03-14

The Design and Implementation of Recruitment Data Crawler Using Python
CHANG Feng-jia,Li Zonghua,WEN Jing,CHANG Feng-jin.The Design and Implementation of Recruitment Data Crawler Using Python[J].Introduction of Educational Technology,2019,18(12):130-133.
Authors:CHANG Feng-jia  Li Zonghua  WEN Jing  CHANG Feng-jin
Institution:1. School of Computer Science and Technology, Huaiyin Teachers College; 2. School of Education Science, Huaiyin Teachers College, Huai’an 223001, China
Abstract:With the increasing employment pressure, the acquisition of accurate and comprehensive data can help college students avoid employment risks and correctly understand their own alue, which is of considerable research value. The Python-based network dynamic recruitment data capture scheme utilizes the requests library to capture Ajax asynchronous requests for multi-page data sources, and the content captured is more comprehensive; statistical analysis of the captured recruitment data and comparative analysis of multi-thread efficiency show that the reptile has good adaptability. The network information captured by the program has certain practical value in scientific research and job hunting.
Keywords:web crawler  recruitment  Python  data analysis  
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