基于Python的互联网POI数据爬取

Internet POI Data Crawling Based on Python

随着互联网的快速发展,兴趣点(POI)数据遍布网络,人们可以找到自己感兴趣的餐馆、电影院、商店等,同时产生了大量利用互联网POI数据进行增值服务开发的业务。然而,面对互联网海量的POI数据,很难通过传统手工下载并整理数据,使得很多针对POI数据开发的业务受阻。鉴于此,以Python为编程语言,以百度地图为平台,构建了互联网POI数据爬取方法框架;并以南昌餐馆POI数据爬取为例进行了实验。结果表明,爬取的POI数据真实有效且效率远高于传统手工调查方法,为POI数据获取提供了良好的方法思路。

With the rapid growth of the Internet,point of interest(POI)data is widely distributed on the network.However,in the face of the huge amount of POI data on the Internet,it is difficult to download and organize the data by traditional manual methods,which has hindered the development of many services for POI data.In this paper,taking Python as the programming language,taking Baidu map as the platform,we built a new Internet POI data crawling method framework.Then,taking Nanchang restaurant POI data crawling for example,we carried out an experiment.The experimental result shows that the crawled POI data are real and valid and far more efficient than traditional manual survey methods,which can provide good methodological ideas for POI data acquisition.