Python实现爬取亚马逊数据并打印出Excel文件操作示例

本文实例讲述了Python实现爬取亚马逊数据并打印出Excel文件操作。分享给大家供大家参考，具体如下：

python大神们别喷，代码写的很粗糙，主要是完成功能，能够借鉴就看下吧，我是学java的，毕竟不是学python的，自己自学看了一点点python，望谅解。

#!/usr/bin/env python3
# encoding=UTF-8
import sys
import re
import urllib.request
import json
import time
import zlib
from html import unescape
import threading
import os
import xlwt
import math
import requests
#例如这里设置递归为一百万
sys.setrecursionlimit(1000000000)
##获取所有列别
def getProUrl():
 urlList = []
 headers = {"User-Agent":"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36"}
 session = requests.Session()
 furl="https://www.amazon.cn/?tag=baidu250-23&hvadid={creative}&ref=pz_ic_22fvxh4dwf_e&page="
 for i in range(0,1):
   html=""
   html = session.post(furl+str(i),headers = headers)
   html.encoding = 'utf-8'
   s=html.text.encode('gb2312','ignore').decode('gb2312')
   url=r'</li><li id=".*?" data-asin="(.+?)" class="s-result-item celwidget">'
   reg=re.compile(url,re.M)
   name='"category" : "' + '(.*?)' + '"'
   reg1=re.compile(name,re.S)
   urlList = reg1.findall(html.text)
   return urlList
##根据类别获取数据链接
def getUrlData(ci):
  url="https://www.amazon.cn/s/ref=nb_sb_noss_2?__mk_zh_CN=％E4％BA％9A％E9％A9％AC％E9％80％8A％E7％BD％91％E7％AB％99&url=search-alias％3Daps&field-keywords="+ci+"&page=1&sort=review-rank"
  return url
##定时任务,等待1秒在进行
def fun_timer():
 time.sleep(3)
##根据链接进行查询每个类别的网页内容
def getProData(allUrlList):
 webContentHtmlList = []
 headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36"}
 for ci in allUrlList:
   session = requests.Session()
   fun_timer()
   html = session.get(getUrlData(ci),headers = headers)
   # 设置编码
   html.encoding = 'utf-8'
   html.text.encode('gb2312', 'ignore').decode('gb2312')
   gxg = r'</li><li id=".*?" data-asin="(.+?)" class="s-result-item celwidget">'
   reg = re.compile(gxg, re.M)
   items = reg.findall(html.text)
   print(html.text)
   webContentHtmlList.append(html.text)
 return webContentHtmlList
##根据网页内容过滤需要的属性和值
def getProValue():
 list1 = [] * 5
 list2 = [] * 5
 list3 = [] * 5
 list4 = [] * 5
 list5 = [] * 5
 list6 = [] * 5
 list7 = [] * 5
 list8 = [] * 5
 urlList = getProUrl();
 urlList.remove('全部分类')
 urlList.remove('Prime会员优先购')
 index = 0
 for head in urlList:
   if index >= 0 and index < 5:
     list1.append(head)
     index = index + 1
   if index >= 5 and index < 10:
     list2.append(head)
     index = index + 1
   if index >= 10 and index < 15:
     list3.append(head)
     index = index + 1
   if index >= 15 and index < 20:
     list4.append(head)
     index = index + 1
   if index >= 20 and index < 25:
     list5.append(head)
     index = index + 1
   if index >= 25 and index < 30:
     list6.append(head)
     index = index + 1
   if index >= 30 and index < 35:
     list7.append(head)
     index = index + 1
   if index >= 35 and index < 40:
     list8.append(head)
     index = index + 1
 webContentHtmlList1 = []
 webContentHtmlList1 = getProData(list1)
 webContentHtmlList2 = []
 webContentHtmlList2 = getProData(list2)
 webContentHtmlList3 = []
 webContentHtmlList3 = getProData(list3)
 webContentHtmlList4 = []
 webContentHtmlList4 = getProData(list4)
 webContentHtmlList5 = []
 webContentHtmlList5 = getProData(list5)
 webContentHtmlList6 = []
 webContentHtmlList6 = getProData(list6)
 webContentHtmlList7 = []
 webContentHtmlList7 = getProData(list7)
 webContentHtmlList8 = []
 webContentHtmlList8 = getProData(list8)
 ##存储所有数据的集合
 dataTwoAllList1 = []
 print("开始检索数据,检索数据中..........")
 ##网页内容1
 for html in webContentHtmlList1:
   for i in range(15):
     dataList = []
     dataList.append(unescape(getProCategory(html,i)))
     dataList.append(unescape(getProTitle(html,i)))
     dataList.append(getProPrice(html,i))
     dataList.append(getSellerCount(html,i))
     dataList.append(getProStar(html,i))
     dataList.append(getProCommentCount(html,i))
     print(dataList)
     dataTwoAllList1.append(dataList)
 ##网页内容2
 for html in webContentHtmlList2:
   for i in range(15):
     dataList = []
     dataList.append(unescape(getProCategory(html,i)))
     dataList.append(unescape(getProTitle(html,i)))
     dataList.append(getProPrice(html,i))
     dataList.append(getSellerCount(html,i))
     dataList.append(getProStar(html,i))
     dataList.append(getProCommentCount(html,i))
     print(dataList)
     dataTwoAllList1.append(dataList)
 ##网页内容3
 for html in webContentHtmlList3:
   for i in range(15):
     dataList = []
     dataList.append(unescape(getProCategory(html,i)))
     dataList.append(unescape(getProTitle(html,i)))
     dataList.append(getProPrice(html,i))
     dataList.append(getSellerCount(html,i))
     dataList.append(getProStar(html,i))
     dataList.append(getProCommentCount(html,i))
     print(dataList)
     dataTwoAllList1.append(dataList)
 ##网页内容4
 for html in webContentHtmlList4:
   for i in range(15):
     dataList = []
     dataList.append(unescape(getProCategory(html,i)))
     dataList.append(unescape(getProTitle(html,i)))
     dataList.append(getProPrice(html,i))
     dataList.append(getSellerCount(html,i))
     dataList.append(getProStar(html,i))
     dataList.append(getProCommentCount(html,i))
     print(dataList)
     dataTwoAllList1.append(dataList)
 ##网页内容5
 for html in webContentHtmlList5:
   for i in range(15):
     dataList = []
     dataList.append(unescape(getProCategory(html,i)))
     dataList.append(unescape(getProTitle(html,i)))
     dataList.append(getProPrice(html,i))
     dataList.append(getSellerCount(html,i))
     dataList.append(getProStar(html,i))
     dataList.append(getProCommentCount(html,i))
     print(dataList)
     dataTwoAllList1.append(dataList)
 ##网页内容6
 for html in webContentHtmlList6:
   for i in range(15):
     dataList = []
     dataList.append(unescape(getProCategory(html,i)))
     dataList.append(unescape(getProTitle(html,i)))
     dataList.append(getProPrice(html,i))
     dataList.append(getSellerCount(html,i))
     dataList.append(getProStar(html,i))
     dataList.append(getProCommentCount(html,i))
     print(dataList)
     dataTwoAllList1.append(dataList)
 ##网页内容7
 for html in webContentHtmlList7:
   for i in range(15):
     dataList = []
     dataList.append(unescape(getProCategory(html,i)))
     dataList.append(unescape(getProTitle(html,i)))
     dataList.append(getProPrice(html,i))
     dataList.append(getSellerCount(html,i))
     dataList.append(getProStar(html,i))
     dataList.append(getProCommentCount(html,i))
     print(dataList)
     dataTwoAllList1.append(dataList)
 ##网页内容8
 for html in webContentHtmlList8:
   for i in range(15):
     dataList = []
     dataList.append(unescape(getProCategory(html,i)))
     dataList.append(unescape(getProTitle(html,i)))
     dataList.append(getProPrice(html,i))
     dataList.append(getSellerCount(html,i))
     dataList.append(getProStar(html,i))
     dataList.append(getProCommentCount(html,i))
     print(dataList)
     dataTwoAllList1.append(dataList)
 print("检索数据完成！！！！")
 print("开始保存并打印Excel文档数据！！！！")
 ##保存文档
 createTable(time.strftime("％Y％m％d") + '亚马逊销量数据统计.xls', dataTwoAllList1)
##抽取类别
def getProCategory(html,i):
   i = 0;
   name = '<span class="a-color-state a-text-bold">' + '(.*?)' + '</span>'
   reg=re.compile(name,re.S)
   items = reg.findall(html)
   if len(items)==0:
     return ""
   else:
     if i<len(items):
       return items[i]
     else:
       return ""
##抽取标题
def getProTitle(html,i):
 html = getHtmlById(html,i)
 name = '<a class="a-link-normal s-access-detail-page s-color-twister-title-link a-text-normal" target="_blank" title="' + '(.*?)' + '"'
 reg=re.compile(name,re.S)
 items = reg.findall(html)
 if len(items)==0:
   return ""
 else:
   return items[0]
##抽取价格<a class="a-link-normal s-access-detail-page s-color-twister-title-link a-text-normal" target="_blank" title="
def getProPrice(html,i):
 html = getHtmlById(html,i)
 name = '<span class="a-size-base a-color-price s-price a-text-bold">' + '(.*?)' + '</span>'
 reg=re.compile(name,re.S)
 items = reg.findall(html)
 if len(items)==0:
   return "￥0"
 else:
   return items[0]
##抽取卖家统计
def getSellerCount(html,i):
 html = getHtmlById(html,i)
 name = '<span class="a-color-secondary">' + '(.*?)' + '</span>'
 reg=re.compile(name,re.S)
 items = reg.findall(html)
 if len(items)==0:
   return "(0 卖家)"
 else:
   return checkSellerCount(items,0)
##检查卖家统计
def checkSellerCount(items,i):
 result = items[i].find('卖家') >= 0
 if result:
   if len(items[i])<=9:
     return items[i]
   else:
     return '(0 卖家)'
 else:
   if i + 1 < len(items):
     i = i + 1
     result = items[i].find('卖家') >= 0
     if result:
       if len(items[i]) <= 9:
         return items[i]
       else:
         return '(0 卖家)'
       if i + 1 < len(items[i]):
         i = i + 1
         result = items[i].find('卖家') >= 0
         if result:
           if len(items[i]) <= 9:
             return items[i]
           else:
             return '(0 卖家)'
         else:
           return '(0 卖家)'
       else:
         return '(0 卖家)'
     else:
       return '(0 卖家)'
   else:
     return '(0 卖家)'
   return '(0 卖家)'
##抽取星级 <span class="a-icon-alt">
def getProStar(html,i):
 html = getHtmlById(html,i)
 name = '<span class="a-icon-alt">' + '(.*?)' + '</span>'
 reg=re.compile(name,re.S)
 items = reg.findall(html)
 if len(items)==0:
   return "平均 0 星"
 else:
   return checkProStar(items,0)
##检查星级
def checkProStar(items,i):
 result = items[i].find('星') >= 0
 if result:
     return items[i]
 else:
   if i + 1 < len(items):
     i = i + 1
     result = items[i].find('星') >= 0
     if result:
       return items[i]
     else:
       return '平均 0 星'
   else:
     return '平均 0 星'
   return '平均 0 星'
##抽取商品评论数量 销量
##<a class="a-size-small a-link-normal a-text-normal" target="_blank" href="https://www.amazon.cn/dp/B073LBRNV2/ref=sr_1_1?ie=UTF8&qid=1521782688&sr=8-1&keywords=％E5％9B％BE％E4％B9％A6#customerReviews" rel="external nofollow" >56</a>
def getProCommentCount(html,i):
 name = '<a class="a-size-small a-link-normal a-text-normal" target="_blank" href=".*?#customerReviews" rel="external nofollow" ' + '(.*?)' + '</a>'
 reg=re.compile(name,re.S)
 items = reg.findall(html)
 if len(items)==0:
   return "0"
 else:
   if i<len(items):
     return items[i].strip(">")
   else:
     return "0"
##根据id取出html里面的内容
def get_id_tag(content, id_name):
id_name = id_name.strip()
patt_id_tag = """<[^>]*id=['"]?""" + id_name + """['" ][^>]*>"""
id_tag = re.findall(patt_id_tag, content, re.DOTALL|re.IGNORECASE)
if id_tag:
  id_tag = id_tag[0]
else:
  id_tag=""
return id_tag
##缩小范围 定位值
def getHtmlById(html,i):
   start = get_id_tag(html,"result_"+str(i))
   i=i+1
   end = get_id_tag(html, "result_" + str(i))
   name = start + '.*?'+end
   reg = re.compile(name, re.S)
   html = html.strip()
   items = reg.findall(html)
   if len(items) == 0:
     return ""
   else:
     return items[0]
##生成word文档
def createTable(tableName,dataTwoAllList):
 flag = 1
 results = []
 results.append("类别,标题,价格,卖家统计,星级,评论数")
 columnName = results[0].split(',')
 # 创建一个excel工作簿，编码utf-8，表格中支持中文
 wb = xlwt.Workbook(encoding='utf-8')
 # 创建一个sheet
 sheet = wb.add_sheet('sheet 1')
 # 获取行数
 rows = math.ceil(len(dataTwoAllList))
 # 获取列数
 columns = len(columnName)
 # 创建格式style
 style = xlwt.XFStyle()
 # 创建font，设置字体
 font = xlwt.Font()
 # 字体格式
 font.name = 'Times New Roman'
 # 将字体font，应用到格式style
 style.font = font
 # 创建alignment，居中
 alignment = xlwt.Alignment()
 # 居中
 alignment.horz = xlwt.Alignment.HORZ_CENTER
 # 应用到格式style
 style.alignment = alignment
 style1 = xlwt.XFStyle()
 font1 = xlwt.Font()
 font1.name = 'Times New Roman'
 # 字体颜色（绿色）
 # font1.colour_index = 3
 # 字体加粗
 font1.bold = True
 style1.font = font1
 style1.alignment = alignment
 for i in range(columns):
   # 设置列的宽度
   sheet.col(i).width = 5000
 # 插入列名
 for i in range(columns):
   sheet.write(0, i, columnName[i], style1)
 for i in range(1,rows):
   for j in range(0,columns):
     sheet.write(i, j, dataTwoAllList[i-1][j], style)
   wb.save(tableName)
##入口开始
input("按回车键开始导出..........")
fun_timer()
print("三秒后开始抓取数据.......,请等待！")
getProValue();
print("数据导出成功!请注意查看!")
print("数据文档《亚马逊销量数据统计.xls》已经存于C盘下面的C:\Windows\SysWOW64的该路径下面！！！！")
input()

结果数据：

打包成exe文件，直接可以点击运行：打包过程我就不一一说了，都是一些命令操作：

要安装pyinstaller，打成exe的操作命令：--inco是图标，路径和项目当前路径一样

途中遇到很多问题，都一一解决了，乱码，ip限制，打包后引入模块找不到，递归最大次数，过滤的一些问题

pyinstaller -F -c --icon=my.ico crawling.py    这是打包命令

效果图：

希望本文所述对大家Python程序设计有所帮助。

来源：https://blog.csdn.net/qq_27026603/article/details/79712403