计算机技术与发展2017，Vol.27Issue(5)：154-159,6.DOI:10.3969/j.issn.1673-629X.2017.05.032
基于房产交易网站的数据获取与在线工具开发
Data Acquisition and Development of Online Analysis Tools Based on Real Estate Transaction Websites
摘要
Abstract
Real estate transaction websites provide every detail about the real estate data.It would be helpful for people to know better about real estate,which is helpful for final decision.Development of online analysis tools meets the trend to analyze big data on real estate with less code to expect the integration of data mining with data analysis in real time owning the function no less than practical programs as new favorite in tool development.This analysis tool online has been developed with Python language as well as third party modules including Scrapy,ArcPy etc.to acquire information on real estate and to monitor and analyze spatial distributions and variations of real estate information from various types of data.Taking two trade websites of real estate,Network for Linking Family and Dwelling Guest,as examples,real estate data in Shanghai has been acquired to display spatial distributions and variations of housing prices as well as percents of real estates in diverse districts for convenience to analysis.关键词
房屋交易网站/网络爬虫/地理编码/ArcPyKey words
real estate transaction websites/website spiders/geocoding/ArcPy分类
信息技术与安全科学引用本文复制引用
王荩梓,赖雯洁..基于房产交易网站的数据获取与在线工具开发[J].计算机技术与发展,2017,27(5):154-159,6.基金项目
国家自然科学基金资助项目(41001270) （41001270）
上海市自然科学基金项目(14ZR1412200) （14ZR1412200）
闵行区中小企业技术创新计划项目(2014MH011) （2014MH011）
