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  • 三个python爬虫项目实例代码

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+style="font-weight:\s+bold"\s+par="ssidkey=y&amp;ss=\d+&amp;ff=\d+&amp;sg=\w+&amp;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>(.*?)&nbsp;<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)

爬取贴吧:

#encoding=utf-8
import urllib
import urllib2
 
import re
 
 
class teiba():
  def spider(self,name,startPage,endPage):
    url="http://tieba.baidu.com/f?ie=utf-8&"
    url+=urllib.urlencode({"kw":name})
    for page in range(startPage,endPage+1):
      pn=50*(page-1)
      urlFull=url+"&"+urllib.urlencode({"pn":pn})
      html=self.loadPage(url)
      self.dealPage(html,page)
 
  def loadPage(self,url):
    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 dealPage(self,html,page):
    partten=re.compile(r'<a\s+rel="noreferrer"\s+href="/p/\d+" rel="external nofollow" \s+title=".*?"\s+target="_blank" class="j_th_tit\s+">(.*?)</a>',re.S)
    titleList=partten.findall(html)
    rstr=r'<span\s+class="topic-tag"\s+data-name=".*?">#(.*?)#</span>'
    for title in titleList:
      title=re.sub(rstr,"",title)
      self.writePage(title,page)
  def writePage(self,context,page):
    fileName="di"+str(page)+"yehtml.txt"
    with open(fileName,"a") as file:
      file.writelines(context+"\n")
if __name__ == '__main__':
  name=raw_input("请输入贴吧名:")
  startPage=raw_input("请输入起始页:")
  endPage=raw_input("请输入终止页:")
  t=teiba()
  t.spider(name,int(startPage),int(endPage))

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。
原文链接:https://www.cnblogs.com/linux0537/p/9193276.html


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