Python-based crawler recruitment website program defects and visual analysis-taking 51job recruitment website as an example

Wei-hua Yang, Xin Wang
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Abstract

With the development of science and technology such as the Internet, and the explosive growth of the amount of information, we generate data all the time every day. Obviously we have come to the era of big data. Because we have a sufficiently powerful amount of data, our research can not only be carried out in the main part of the normal distribution, but also makes it possible for the long tail part to become a part of our research. Therefore, data mining is particularly important among them, and it has become one of the main directions of research today. Combined with the current hottest employment issues, this article mainly studies how to use Python, a programming language with a rich language library and powerful computing functions, to crawl the recruitment information process of the largest recruitment website 51job, based on the large amount of information crawled You can find effective information and conduct specific research on employment positions, regions, positions, salary and other directions.
基于python爬虫的招聘网站程序缺陷及可视化分析——以51job招聘网站为例
随着互联网等科技的发展,信息量的爆炸式增长,我们每天每时每刻都在产生数据。显然,我们已经来到了大数据时代。因为我们有足够强大的数据量,所以我们的研究不仅可以在正态分布的主体部分进行,也可以让长尾部分成为我们研究的一部分。因此,数据挖掘在其中显得尤为重要,成为当今研究的主要方向之一。结合当前最热门的就业问题,本文主要研究如何利用Python这种具有丰富的语言库和强大的计算功能的编程语言,抓取最大的招聘网站51job的招聘信息流程,根据抓取到的大量信息,找到有效的信息,并对招聘职位、地区、职位、薪资等方向进行针对性的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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