python爬虫爬取淘宝商品信息（selenum+phontomjs）

本文实例为大家分享了python爬虫爬取淘宝商品的具体代码，供大家参考，具体内容如下1、

本文实例为大家分享了python爬虫爬取淘宝商品的具体代码，供大家参考，具体内容如下

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。

2、结果展示

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_source

 selector=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 each
 price.append(each)


 city1=selector.xpath('//div[@class="location"]/text()')
 for each in city1:
 print each
 city.append(each)


 num1=selector.xpath('//div[@class="deal-cnt"]/text()')
 for each in num1:
 print each
 num.append(each)


 shop_name1=selector.xpath('//div[@class="shop"]/a/span[2]/text()')
 for each in shop_name1:
 print each
 shop_name.append(each)


 link1=selector.xpath('//div[@class="row row-2 title"]/a/@href')
 for each in link1:
 kk="https://" + each


 link.append("https://" + each)
 if "https" in each:
 print each

 driver.get(each)
 else:
 print "https://" + each
 driver.get("https://" + each)
 time.sleep(3)
 html2=driver.page_source
 selector2=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 each
 sale.append(each)

 sale2=selector2.xpath('//strong[@id="J_SellCounter"]/text()')
 for each in sale2:
 print each
 sale.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: (.*?)</li>', str(each).strip(), re.S)
 if len(m) > 0:
 for each1 in m:
 print each1
 number.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: (.*?)</li>', str(each).strip(), re.S)
 if len(m) > 0:
 for each2 in h:
 print each2
 number.append(each2)

 else:
 number.append("NULL")

 if "click" in kk:
 number.append("NULL")

 except:
 pass


print 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()

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。