基于Python的房产信息网站数据采集策略分析
Analysis of Data Collection Strategies for Real Estate Information Websites Based on Python
张楠1
作者信息
摘要
阐述Python数据采集和数据分析系统的设计与流程,应用Scrapy框架爬取二手房网站中的数据信息,进行处理后存入数据库中,结合不同房源的地区数据、地区均价、装修情况、房屋户型等基础条件,合理分析二手房市场的现状信息、房屋价格走向、检索目标,将数据结果进行可视化展示.
Abstract
This paper expounds the design and process of a Python data collection and analysis system.The Scrapy framework is applied to crawl data information from second-hand housing websites,process it,and store it in a database.Based on the basic conditions of different housing sources such as regional data,regional average prices,decoration conditions,and housing types,the current situation information,housing price trends,and retrieval goals of the second-hand housing market are reasonably analyzed,and the data results are visualized and displayed.
关键词
计算机技术/Python/Scrapy/数据分析/数据可视化Key words
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出版年
2024
NETL
NSTL
维普
万方数据