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    三个python爬虫项目实例代码

    栏目:Linux/apache问题 时间:2020-01-03 19:12

    这篇文章主要介绍了三个python爬虫项目实例代码,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下

    爬取内涵段子:

    #encoding=utf-8
    import urllib2
    
    import re
    
    
    class neihanba():
      def spider(self):
        '''
        爬虫的主调度器
        '''
        isflow=True#判断是否进行下一页
        page=1
        while isflow:
          url="http://www.neihanpa.com/article/list_5_"+str(page)+".html"
          html=self.load(url)
          self.deal(html,page)
          panduan=raw_input("是否继续(y/n)!")
          if panduan=="y":
            isflow=True
            page+=1
          else:
            isflow=False
      def load(self,url):
        '''
        针对url地址进行全部爬去
        :param url: url地址
        :return: 返回爬去的内容
        '''
        header = {
          "User-Agent": " Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.79 Safari/537.36"
        }
        request = urllib2.Request(url, headers=header)
        response = urllib2.urlopen(request)
        html = response.read()
        return html
      def deal(self,html,page):
        '''
        对之前爬去的内容进行正则匹配,匹配出标题和正文内容
        :param html:之前爬去的内容
        :param page: 正在爬去的页码
        '''
        parrten=re.compile('<li class="piclist\d+">(.*?)</li>',re.S)
        titleList=parrten.findall(html)
        for title in titleList:
          parrten1=re.compile('<a href="/article/\d+.html" rel="external nofollow" >(.*)</a>')
          ti1=parrten1.findall(title)
          parrten2=re.compile('<div class="f18 mb20">(.*?)</div>',re.S)
          til2=parrten2.findall(title)
          for t in ti1:
            tr=t.replace("<b>","").replace("</b>","")
            self.writeData(tr,page)
          for t in til2:
            tr=t.replace("<p>","").replace("</p>","").replace("<br>","").replace("<br />","").replace("&ldquo","\"").replace("&rdquo","\"")
            self.writeData(tr,page)
      def writeData(self,context,page):
        '''
        将最终爬去的内容写入文件中
        :param context: 匹配好的内容
        :param page: 当前爬去的页码数
        '''
        fileName = "di" + str(page) + "yehtml.txt"
        with open(fileName, "a") as file:
          file.writelines(context + "\n")
    if __name__ == '__main__':
      n=neihanba()
      n.spider()

    爬取智联:

    #encoding=utf-8
    import urllib
    import urllib2
    
    import re
    
    
    class zhiLian():
      def spider(self,position,workPlace):
        '''
        爬虫的主调度器
        :param position: 职位
        :param workPlace: 工作地点
        '''
        url="http://sou.zhaopin.com/jobs/searchresult.ashx?"
        url+=urllib.urlencode({"jl":workPlace})
        url+="&"
        url+=urllib.urlencode({"kw":position})
        isflow=True#是否进行下一页的爬去
        page=1
        while isflow:
          url+="&"+str(page)
          html=self.load(url)
          self.deal1(html,page)
          panduan = raw_input("是否继续爬虫下一页(y/n)!")
          if panduan == "y":
            isflow = True
            page += 1
          else:
            isflow = False
      def load(self,url):
        '''
        针对url地址进行全部爬去
        :param url: url地址
        :return: 返回爬去的内容
        '''
        header = {
          "User-Agent": " Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.79 Safari/537.36"
        }
        request = urllib2.Request(url, headers=header)
        response = urllib2.urlopen(request)
        html = response.read()
        return html
      def deal1(self,html,page):
        '''
    
        对之前爬去的内容进行正则匹配,匹配职位所对应的链接
        :param html:之前爬去的内容
        :param page: 正在爬去的页码
        '''
        parrten=re.compile('<a\s+\s+par="ssidkey=y&ss=\d+&ff=\d+&sg=\w+&so=\d+"\s+href="(.*?)" rel="external nofollow" target="_blank">.*?</a>',re.S)
        til=parrten.findall(html)#爬去链接
        for t in til:
          self.deal2(t,page)
      def deal2(self,t,page):
        '''
        进行二次爬虫,然后在新的页面中对公司、薪资、工作经验进行匹配
        :param t: url地址
        :param page: 当前匹配的页数
        '''
        html=self.load(t)#返回二次爬虫的内容
        parrten1=re.compile('<a\s+onclick=".*?"\s+href=".*?" rel="external nofollow" \s+target="_blank">(.*?)\s+.*?<img\s+class=".*?"\s+src=".*?"\s+border="\d+"\s+vinfo=".*?"></a>',re.S)
        parrten2=re.compile('<li><span>职位月薪:</span><strong>(.*?) <a.*?>.*?</a></strong></li>',re.S)
        parrent3=re.compile('<li><span>工作经验:</span><strong>(.*?)</strong></li>',re.S)
        til1=parrten1.findall(html)
        til2=parrten2.findall(html)
        til3=parrent3.findall(html)
        str=""
        for t in til1:
          t=t.replace('<img title="专属页面" src="//img03.zhaopin.cn/2012/img/jobs/icon.png" border="0" />',"")
          str+=t
          str+="\t"
        for t in til2:
          str+=t
          str += "\t"
        for t in til3:
          str+=t
        self.writeData(str,page)
      def writeData(self,context,page):
        '''
        将最终爬去的内容写入文件中
        :param context: 匹配好的内容
         :param page: 当前爬去的页码数
        '''
        fileName = "di" + str(page) + "yehtml.txt"
        with open(fileName, "a") as file:
          file.writelines(context + "\n")
    if __name__ == '__main__':
      position=raw_input("请输入职位:")
      workPlace=raw_input("请输入工作地点:")
      z=zhiLian()
      z.spider(position,workPlace)