【python 爬虫】python淘宝爬虫实战（selenum+phontomjs）

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1、需求目标 ：
进去淘宝页面，搜索耐克关键词，抓取商品的标题，链接，价格，城市，旺旺号，付款人数，进去第二层，抓取商品的销售量，款号等。

这里写图片描述

2、结果展示
这里写图片描述

3、源代码

# encoding: utf-8
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import time
import pandas as pd
time1=time.time()
from lxml import etree
from selenium import webdriver
#########自动模拟
driver=webdriver.PhantomJS(executable_path='D:/Python27/Scripts/phantomjs.exe')
import re#################定义列表存储#############
title=[]
price=[]
city=[]
shop_name=[]
num=[]
link=[]
sale=[]
number=[]#####输入关键词耐克(这里必须用unicode)
keyword="%E8%80%90%E5%85%8B"for i in range(0,1):try:print "...............正在抓取第"+str(i)+"页..........................."url="https://s.taobao.com/search?q=%E8%80%90%E5%85%8B&imgfile=&js=1&stats_click=search_radio_all%3A1&initiative_id=staobaoz_20170710&ie=utf8&bcoffset=4&ntoffset=4&p4ppushleft=1%2C48&s="+str(i*44)driver.get(url)time.sleep(5)html=driver.page_sourceselector=etree.HTML(html)title1=selector.xpath('//div[@class="row row-2 title"]/a')for each in title1:print each.xpath('string(.)').strip()title.append(each.xpath('string(.)').strip())price1=selector.xpath('//div[@class="price g_price g_price-highlight"]/strong/text()')for each in price1:print eachprice.append(each)city1=selector.xpath('//div[@class="location"]/text()')for each in city1:print eachcity.append(each)num1=selector.xpath('//div[@class="deal-cnt"]/text()')for each in num1:print eachnum.append(each)shop_name1=selector.xpath('//div[@class="shop"]/a/span[2]/text()')for each in shop_name1:print eachshop_name.append(each)link1=selector.xpath('//div[@class="row row-2 title"]/a/@href')for each in link1:kk="https://" + eachlink.append("https://" + each)if "https" in each:print eachdriver.get(each)else:print "https://" + eachdriver.get("https://" + each)time.sleep(3)html2=driver.page_sourceselector2=etree.HTML(html2)sale1=selector2.xpath('//*[@id="J_DetailMeta"]/div[1]/div[1]/div/ul/li[1]/div/span[2]/text()')for each in sale1:print eachsale.append(each)sale2=selector2.xpath('//strong[@id="J_SellCounter"]/text()')for each in sale2:print eachsale.append(each)if "tmall"  in kk:number1 = re.findall('<ul id="J_AttrUL">(.*?)</ul>', html2, re.S)for each in number1:m = re.findall('>*号:&nbsp;(.*?)</li>', str(each).strip(), re.S)if len(m) > 0:for each1 in m:print each1number.append(each1)else:number.append("NULL")if "taobao" in kk:number2=re.findall('<ul class="attributes-list">(.*?)</ul>',html2,re.S)for each in number2:h=re.findall('>*号:&nbsp;(.*?)</li>', str(each).strip(), re.S)if len(m) > 0:for each2 in h:print each2number.append(each2)else:number.append("NULL")if "click" in kk:number.append("NULL")except:passprint len(title),len(city),len(price),len(num),len(shop_name),len(link),len(sale),len(number)# #
# ######数据框
data1=pd.DataFrame({"标题":title,"价格":price,"旺旺":shop_name,"城市":city,"付款人数":num,"链接":link,"销量":sale,"款号":number})
print data1
# 写出excel
writer = pd.ExcelWriter(r'C:\\taobao_spider2.xlsx', engine='xlsxwriter', options={'strings_to_urls': False})
data1.to_excel(writer, index=False)
writer.close()time2 = time.time()
print u'ok,爬虫结束!'
print u'总共耗时：' + str(time2 - time1) + 's'
####关闭浏览器
driver.close()