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
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# 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服务器之家。
原文链接:http://blog.csdn.net/u013421629/article/details/74960278