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！