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基于Scrapy的房屋租赁信息搜索系统设计与实现
引用本文:朱园园,邵雯娟,黄志远.基于Scrapy的房屋租赁信息搜索系统设计与实现[J].广东电脑与电讯,2019,1(6):14-19.
作者姓名:朱园园  邵雯娟  黄志远
作者单位:南京理工大学紫金学院,江苏南京,210046;南京理工大学紫金学院,江苏南京,210046;南京理工大学紫金学院,江苏南京,210046
基金项目:国家社科基金项目“韵律-结构-语义界面调适下汉语非词法结构词的词汇化与语法化研究”,项目编号:18BYY173。
摘    要:在如今互联网技术蓬勃房展及高房价的背景下,越来越多的人通过互联网寻找合适的租赁房源。目前互联网上房屋租赁网站众多,租房者在每家网站上均需要单独注册登录,且查询搜索过程繁琐,用户体验不佳。该文基于scrapy开源爬虫框架设计并实现了一个房屋租赁信息搜索系统,该系统从多个房屋租赁网站采集房源信息,进行数据格式转换后,向用户提供统一且多样化的房源搜索及展示功能。

关 键 词:网络爬虫  scrapy  房屋租赁

Design and Implementation of House Rental Information Search System Based on Scrapy
ZHU Yuan-yuan SHAO Wen-juan HUANG Zhi-yuan.Design and Implementation of House Rental Information Search System Based on Scrapy[J].Computer & Telecommunication,2019,1(6):14-19.
Authors:ZHU Yuan-yuan SHAO Wen-juan HUANG Zhi-yuan
Affiliation:(Nanjing University of Science and Technology Zijin College,Nanjing 210046,Jiangsu)
Abstract:With the rapid development of Internet technology and high house prices, more and more people are looking for suitable rental house through the Internet. At present, there are many house rental websites on the Internet, and renters need to register and log in on each websites. The search and inquire process is tedious, and the user experience is not good. Based on scrapy open source crawler framework, this paper designs and implements a house rental information search system, which collects house information from multiple house rental websites, converts the data format, and provides users with unified and diversified house rental search and display functions.
Keywords:Web crawler  scrapy  house rental  
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