python爬虫爬取淘宝商品信息（selenum+phontomjs）

Python  /  管理员 发布于 7年前   183

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-8import sysreload(sys)sys.setdefaultencoding('utf-8')import timeimport pandas as pdtime1=time.time()from lxml import etreefrom 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:    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excelwriter = 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。