首页|基于Python的职位网站爬取设计与实现

基于Python的职位网站爬取设计与实现

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在当前的就业市场中,寻找与大数据相关的工作变得越来越具有挑战性.为应对这一问题,设计了一个基于Python的职业网站爬虫系统.该系统使用Python作为主要编程语言,并且采用Selenium框架进行爬虫.设计的爬虫系统能够根据关键字定向爬取前程无忧职业网站的招聘信息,并将这些信息以CSV格式保存到本地,且对爬虫后的数据进行进一步分析、处理以及可视化.通过对爬取到的岗位信息进行分析,可以了解当前职位的市场情况、工作年限和热门技能等信息.这些信息对于求职者和招聘方都具有重要的参考价值,能够帮助做出更明智的决策,并在竞争激烈的就业市场中取得成功.
Design and Implementation of Crawling Job Website Based on Python
In the current job market,it is more and more challenging to find jobs related to big data.In order to deal with this problem,a Python-based job website crawling system is desgined.Python is used as the main programming language,and the Selenium framework is adopted for crawling.The crawling system designed can crawl the recruitment information of the 51 job career website in a manner of orientation according to the keywords and save the information locally in CSV format,so as to further analyze,process and visualize the crawled data.By analyzing the crawled post information,the current job market situation,working years and popular skill requirements can be understood,and it is also valuable for job seekers and recruiters alike,helping them make more informed decisions and succeed in a competitive job market.

Pythonpost informationdata analysis

郑志建、俞发仁、魏晓微、赵泳、胡长生

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福州软件职业技术学院数据产业学院,福建福州 350003

Python 岗位信息 数据分析

2024

计算机与网络
工业和信息化部电子无线通信专业情报网

计算机与网络

CHSSCD
影响因子:0.149
ISSN:1008-1739
年,卷(期):2024.50(1)
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