首页 > 技术文章 > python利用urllib实现的爬取京东网站商品图片的爬虫

kfpa 2017-08-23 16:31 原文

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!

 1 # -*- coding: utf-8 -*
 2 import re
 3 import os
 4 import urllib
 5 import urllib2
 6 from bs4 import BeautifulSoup
 7 def craw(url,page):
 8     html1=urllib2.urlopen(url).read()
 9     html1=str(html1)
10     soup=BeautifulSoup(html1,'lxml')
11     imagelist=soup.select('#J_goodsList > ul > li > div > div.p-img > a > img')
12     namelist=soup.select('#J_goodsList > ul > li > div > div.p-name > a > em')
13     #pricelist=soup.select('#plist > ul > li > div > div.p-price > strong')
14     #print pricelist
15     path = "E:/{}/".format(str(goods))
16     if not os.path.exists(path):
17         os.mkdir(path)
18     for (imageurl,name) in zip(imagelist,namelist):
19         name=name.get_text()
20         imagename=path + name  +".jpg"
21         imgurl="http:"+str(imageurl.get('data-lazy-img'))
22         if imgurl == 'http:None':
23             imgurl = "http:" + str(imageurl.get('src'))
24         try:
25             urllib.urlretrieve(imgurl,filename=imagename)
26         except:
27             continue
28 
29 '''
30 #J_goodsList > ul > li:nth-child(1) > div > div.p-img > a > img
31 #plist > ul > li:nth-child(1) > div > div.p-name.p-name-type3 > a > em
32 #plist > ul > li:nth-child(1) > div > div.p-price > strong:nth-child(1) > i
33 '''
34 
35 if __name__ == "__main__":
36     goods=raw_input('please input the goos you want:')
37     pages=input('please input the pages you want:')
38     count =0.0
39     for i in range(1,int(pages+1),2):
40         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))
41         craw(url,i)
42         count += 1
43         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: 
这里写图片描述
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!

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