python利用urllib实现的爬取京东网站商品图片的爬虫

本例程使用urlib实现的，基于python2.7版本，采用beautifulsoup进行网页分析，没有第三方库的应该安装上之后才能运行，我用的IDE是pycharm，闲话少说，直接上代码！

 # -*- coding: utf-8 -*

 import re

 import os

 import urllib

 import urllib2

 from bs4 import BeautifulSoup

 def craw(url,page):

     html1=urllib2.urlopen(url).read()

     html1=str(html1)

     soup=BeautifulSoup(html1,'lxml')

     imagelist=soup.select('#J_goodsList > ul > li > div > div.p-img > a > img')

     namelist=soup.select('#J_goodsList > ul > li > div > div.p-name > a > em')

     #pricelist=soup.select('#plist > ul > li > div > div.p-price > strong')

     #print pricelist

     path = "E:/{}/".format(str(goods))

     if not os.path.exists(path):

         os.mkdir(path)

     for (imageurl,name) in zip(imagelist,namelist):

         name=name.get_text()

         imagename=path + name  +".jpg"

         imgurl="http:"+str(imageurl.get('data-lazy-img'))

         if imgurl == 'http:None':

             imgurl = "http:" + str(imageurl.get('src'))

         try:

             urllib.urlretrieve(imgurl,filename=imagename)

         except:

             continue

 '''

 #J_goodsList > ul > li:nth-child(1) > div > div.p-img > a > img

 #plist > ul > li:nth-child(1) > div > div.p-name.p-name-type3 > a > em

 #plist > ul > li:nth-child(1) > div > div.p-price > strong:nth-child(1) > i

 '''

 if __name__ == "__main__":

     goods=raw_input('please input the goos you want:')

     pages=input('please input the pages you want:')

     count =0.0

     for i in range(1,int(pages+1),2):

         url="https://search.jd.com/Search?keyword={}&enc=utf-8&qrst=1&rt=1&stop=1&vt=2&suggest=1.def.0.T06&wq=diann&page={}".format(str(goods),str(i))

         craw(url,i)

         count += 1

         print 'work completed {:.2f}%'.format(count/int(pages)*100)

图片的命名为商品的名称，京东商品图片地址的属性很可能会有所变动，所以大家进行编写的时候应该举一反三，灵活运用！ 
这是我下载下来的手机类图片文件的截图： 

我本地的爬取的速度很快，不到一分钟就能爬取100页上千个商品的图片！

python利用urllib实现的爬取京东网站商品图片的爬虫的相关教程结束。