Amazon关键词抓取

亚马逊的网址构造很简单，几乎算是静态的网页，花费3小时完美收工，不要在意细节！

在python3下利用xpath就可以完美解决

xpath的使用方法请见：

python之lxml(xpath)

入口图界面为：

抓取操作为：

抓取的效果图如下：

图片：

excel：

 '''
                               .======.
                               | INRI |
                               |      |
                               |      |
                      .========'      '========.
                      |   _      xxxx      _   |
                      |  /_;-.__ / _\  _.-;_\  |
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                      '========.`\   /`========'
                               | |  / |
                               |/-.(  |
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                               | / // |
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                               |  ``  |
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                               .======.
     ……………………………………………………………………………………

                     　　　　　　！！！！！
                     　　　　　　 \\ - - //
                     　　　　　　 (-● ●-)
                     　　　　　　　\ (_) /
                     　　　　　　　 \ u /
                     ┏oOOo-━━━━━━━━┓
                     ┃　　　　　　　　　　 ┃
                     ┃　　　耶稣保佑！　　 ┃
                     ┃            永无BUG！！！┃
                     ┃　　　　　　　　　　 ┃
                     ┗━━━━━━━━-oOOo┛

     ……………………………………………………………………………………

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                              .' \\\\|     |// '.
                             / \\\\|||  :  |||// \\
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                           |   | \\\\\\  -  /// |   |
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                     \  \ '_.   \_ __\ /__ _/   .-' /  /
                 ====='-.____'.___ \_____/___.-'____.-'=====
                                   '=---='

               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                         佛祖保佑           永无BUG

                               ┌─┐       ┌─┐
                            ┌──┘ ┴───────┘ ┴──┐
                            │                 │
                            │       ───       │
                            │  ─┬┘       └┬─  │
                            │                 │
                            │       ─┴─       │
                            │                 │
                            └───┐         ┌───┘
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                                └─┐  ┐  ┌───────┬──┐  ┌──┘
                                  │ ─┤ ─┤       │ ─┤ ─┤
                                  └──┴──┘       └──┴──┘
                                      神兽保佑
                                      代码无BUG!
 '''
 # !/usr/bin/python3.4
 # -*- coding: utf-8 -*-

 # 前排烧香
 # 永无BUG

 import requests
 import time
 import random
 import xlsxwriter
 from lxml import etree
 import urllib.parse
 import urllib.request

 def geturl(url):
     # 制作头部
     header = {
         'User-Agent': 'Mozilla/5.0 (iPad; U; CPU OS 4_3_4 like Mac OS X; ja-jp) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8K2 Safari/6533.18.5',
         'Referer': 'https://www.amazon.cn/',
         'Host': 'www.amazon.cn',
         'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
         'Accept-Encoding': 'gzip, deflate, br',
         'Accept-Language': 'zh-CN,zh;q=0.8,en-US;q=0.5,en;q=0.3',
         'Connection': 'keep-alive'
     }
     # get参数
     res = requests.get(url=url, headers=header)
     # ('UTF-8')('unicode_escape')('gbk','ignore')
     resdata = res.content
     return resdata

 def getimg(url):
     # 制作头部
     header = {
         'User-Agent': 'Mozilla/5.0 (iPad; U; CPU OS 4_3_4 like Mac OS X; ja-jp) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8K2 Safari/6533.18.5',
         'Referer': 'https://www.amazon.cn/',
         'Host': 'www.amazon.cn',
         'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
         'Accept-Encoding': 'gzip, deflate, br',
         'Accept-Language': 'zh-CN,zh;q=0.8,en-US;q=0.5,en;q=0.3',
         'Connection': 'keep-alive'
     }
     # get参数
     res = requests.get(url=url, headers=header,stream=True)
     # ('UTF-8')('unicode_escape')('gbk','ignore')
     resdata = res.iter_content(chunk_size=1024)
     for chunk in resdata:
         if chunk:
             return chunk

 def begin():
     taoyanbai = '''
             -----------------------------------------
             | 欢迎使用亚马逊爬取系统                   |
             | 时间：2016年9月20日                   |
             | 出品：TTyb                           |
             | 微信/QQ：420439007                    |
             -----------------------------------------
         '''
     print(taoyanbai)

 def timetochina(longtime, formats='{}天{}小时{}分钟{}秒'):
     day = 0
     hour = 0
     minutue = 0
     second = 0
     try:
         if longtime > 60:
             second = longtime % 60
             minutue = longtime // 60
         else:
             second = longtime
         if minutue > 60:
             hour = minutue // 60
             minutue = minutue % 60
         if hour > 24:
             day = hour // 24
             hour = hour % 24
         return formats.format(day, hour, minutue, second)
     except:
         raise Exception('时间非法')

 if __name__ == '__main__':

     begin()

     keyword = input("请输入关键词：")
     try:
         sort = int(input("相关度排序请按0，人气排序请按1，上架时间排序请按2，价格低到高排序请按3，价格高到低请按4，用户评分排序请按5（默认相关度排序）："))
         if sort > 5 or sort <= 0:
             sort = ""
         elif sort == 1:
             sort = "popularity-rank"
         elif sort == 2:
             sort = "date-desc-rank"
         elif sort == 3:
             sort = "price-asc-rank"
         elif sort == 4:
             sort = "price-desc-rank"
         elif sort == 5:
             sort = "review-rank"
     except:
         sort = ""
     try:
         pages = int(input("请输入抓取页数（默认5页）："))
     except:
         pages = 5

     a = time.clock()

     # 转成字符串
     # %y 两位数的年份表示（00 - 99）
     # %Y 四位数的年份表示（000 - 9999）
     # %m 月份（01 - 12）
     # %d 月内中的一天（0 - 31）
     # %H 24小时制小时数（0 - 23）
     # %I 12小时制小时数（01 - 12）
     # %M 分钟数（00 = 59）
     # %S 秒（00 - 59）
     today = time.strftime('%Y%m%d%H%M', time.localtime())
     # 创建一个Excel文件
     workbook = xlsxwriter.Workbook('../excel/' + today + '.xlsx')
     # 创建一个工作表
     worksheet = workbook.add_worksheet()

     # 第一行参数
     first = ['商品名称', '品牌', '详情页网址', '原价格', '星级', '图片','图片网址']

     # 写入excel计数行
     count = 1

     # 下载图片计数
     num = 0

     # 构造时间戳
     nowtime = int(time.time())

     for page in range(0,pages):

         urldata = {
             'page':page,
             'sort':sort,
             'keywords':keyword,
             'ie':'UTF-8',
             'qid':str(nowtime)
         }
         urldata = urllib.parse.urlencode(urldata)
         url = "https://www.amazon.cn/s/ref=nb_sb_noss_1?__mk_zh_CN=亚马逊网站&" + urldata

         html = geturl(url).decode('Utf-8', 'ignore')
         #file = open("../data/html.txt","wb")
         #file.write(html)
         #file.close()

         #file = open("../data/html.txt","rb")
         #html = file.read().decode('Utf-8', 'ignore')
         #print(html)

         # xpath解析需要的东西
         contents = etree.HTML(html)

         # 找到商品名称
         titles = contents.xpath('//a[@class="a-link-normal s-access-detail-page  a-text-normal"]/@title')
         arr_title = []
         for title in titles:
             arr_title.append(title)

         # 找到品牌
         brands = contents.xpath('//div[@class="a-row a-spacing-mini"][1]/div/span/text()')
         arr_brand = []
         for brand in brands:
             if "更多购买选择" in brand:
                 pass
             else:
                 arr_brand.append(brand)

         # 找到详情页网址
         detailurls = contents.xpath('//a[@class="a-link-normal s-access-detail-page  a-text-normal"]/@href')
         arr_detailurl = []
         for detailurl in detailurls:
             arr_detailurl.append(urllib.parse.unquote(detailurl))
             #print(detailurl)
         #print(len(arr_detailurl))

         # 得到原价格
         # 这里是忽略了新品价格、非新品价格
         prices = contents.xpath('//div[@class="a-row a-spacing-none"][1]/a/span[1]/text()')
         arr_price = []
         for price in prices:
             arr_price.append(price)

         # 得到星级
         grades = contents.xpath('//span[@class="a-icon-alt"]/text()')
         arr_grade = []
         for grade in grades:
             if "平均" in grade:
                 arr_grade.append(grade)
                 #print(grade)
             else:
                 pass
         if arr_grade:
             arr_grade.pop()
         #print(len(arr_grades))

         # 得到图片
         imgurls = contents.xpath('//a[@class="a-link-normal a-text-normal"]/img/@src')
         arr_img = []

         for imgurl in imgurls:
             file = open("../jpg/" + str(num) + ".jpg","wb")
             pic = urllib.request.urlopen(imgurl)
             file.write(pic.read())
             file.close()
             # 每一次下载都暂停1-3秒
             imgtime = random.randint(1, 3)
             print("下载图片暂停" + str(imgtime) + "秒")
             time.sleep(imgtime)
             arr_img.append(imgurl)
             num = num + 1
             #print(imgurl)
         #print(len(arr_img))

         # 写入excel
         # 写入第一行
         for i in range(0, len(first)):
             worksheet.write(0, i, first[i])

         # 写入其他数据
         for j in range(0,len(arr_title)):
             worksheet.write(count,0,arr_title[j])
             worksheet.write(count, 1, arr_brand[j])
             worksheet.write(count, 2, arr_detailurl[j])
             try:
                 worksheet.write(count, 3, arr_price[j])
             except Exception as err:
                 print(err)
                 worksheet.write(count, 3, "")
             worksheet.write(count, 4, arr_grade[j])
             worksheet.insert_image(count, 5, "../jpg/" + str(count - 1) + ".jpg")
             worksheet.write(count, 6, arr_img[j])
             count = count + 1

         # 每一次下载都暂停5-10秒
         loadtime = random.randint(5, 10)
         print("抓取网页暂停" + str(loadtime) + "秒")
         time.sleep(loadtime)

     workbook.close()
     b = time.clock()
     print('运行时间：' + timetochina(b - a))
     input('请关闭窗口')