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

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。

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

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

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

2、结果展示
《【python 爬虫】python淘宝爬虫实战(selenum+phontomjs)》

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:&nbsp;(.*?)</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:&nbsp;(.*?)</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()































    原文作者:开心果汁
    原文地址: https://blog.csdn.net/u013421629/article/details/74960278
    本文转自网络文章,转载此文章仅为分享知识,如有侵权,请联系博主进行删除。
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