基于Scrapy和Flask的招聘信息自动化采集与数据可视化系统的设计与实现  

Development of a job information automated collection and visualization system based on Scrapy and Flask

作　　者：陆赟 Lu Yun(College of Information Technology,Xinjiang Agricultural Vocational and Technical University,Changji 831100,China)

机构地区：[1]新疆农业职业技术大学信息技术学院,昌吉831100

出　　处：《现代计算机》2024年第19期74-79,90,共7页Modern Computer

摘　　要：随着网络信息技术的飞速发展,招聘网站已成为求职者和雇主获取和发布职位信息的重要平台。然而,由于信息海量且分布不均,用户往往需要花费大量时间筛选和分析这些数据。为解决这一问题,提出了一个基于Scrapy和Flask技术的系统,旨在自动化采集招聘信息并提供数据可视化功能。系统利用Scrapy框架高效地从多个招聘网站抓取实时职位信息,并通过Flask框架搭建的后端服务提供数据的存储、管理和查询功能。同时,通过前端数据可视化技术将采集的数据以直观的方式展示给用户,帮助用户快速了解市场动态和职位趋势。With the rapid development of network information technology,recruitment websites have become an important platform for job seekers and employers to obtain and post job information.However,due to the massive amount of information that is unevenly distributed,users often need to spend a considerable amount of time filtering and analyzing this data.To address this issue,a system based on Scrapy and Flask technologies was proposed,aimed at automating the collection of recruitment information and providing data visualization capabilities.The system uses the Scrapy framework to efficiently crawl real-time job information from multiple recruitment websites,and provides functions for data storage,management,and querying through backend services built with the Flask framework.At the same time,frontend data visualization techniques are used to present the collected data in an intuitive manner to users,helping them quickly understand market dynamics and job trends.

关 键 词：Scrapy FLASK 数据采集 数据可视化 招聘信息 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论] F272.92[自动化与计算机技术—计算机科学与技术]