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！