舉例說明簡單的python爬蟲代碼

這篇文章主要為大家詳細介紹了簡單的python爬蟲代碼，文中示例代碼介紹的非常詳細，具有一定的參考價值，感興趣的小伙伴們可以參考一下。

python爬蟲代碼示例分享

一、爬取故事段子：

注：部分代碼無法正常運行，但仍有一定的參考價值。

#encoding=utf-8
import urllib2
 
import re
 
 
class neihanba():
  def spider(self):
    '''
    爬蟲的主調度器
    '''
    isflow=True#判斷是否進行下一頁
    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("是否繼續(y/n)!")
      if panduan=="y":
        isflow=True
        page+=1
      else:
        isflow=False
  def load(self,url):
    '''
    針對url地址進行全部爬去
    :param url: url地址
    :return: 返回爬去的內容
    '''
    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):
    '''
    對之前爬去的內容進行正則匹配，匹配出標題和正文內容
    :param html:之前爬去的內容
    :param page: 正在爬去的頁碼
    '''
    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):
    '''
    將最終爬去的內容寫入文件中
    :param context: 匹配好的內容
    :param page: 當前爬去的頁碼數
    '''
    fileName = "di" + str(page) + "yehtml.txt"
    with open(fileName, "a") as file:
      file.writelines(context + "\n")
if __name__ == '__main__':
  n=neihanba()
  n.spider()

二、爬取智聯：

#encoding=utf-8
import urllib
import urllib2
 
import re
 
 
class zhiLian():
  def spider(self,position,workPlace):
    '''
    爬蟲的主調度器
    :param position: 職位
    :param workPlace: 工作地點
    '''
    url="http://sou.zhaopin.com/jobs/searchresult.ashx?"
    url+=urllib.urlencode({"jl":workPlace})
    url+="&"
    url+=urllib.urlencode({"kw":position})
    isflow=True#是否進行下一頁的爬去
    page=1
    while isflow:
      url+="&"+str(page)
      html=self.load(url)
      self.deal1(html,page)
      panduan = raw_input("是否繼續爬蟲下一頁(y/n)!")
      if panduan == "y":
        isflow = True
        page += 1
      else:
        isflow = False
  def load(self,url):
    '''
    針對url地址進行全部爬去
    :param url: url地址
    :return: 返回爬去的內容
    '''
    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):
    '''
 
    對之前爬去的內容進行正則匹配，匹配職位所對應的鏈接
    :param html:之前爬去的內容
    :param page: 正在爬去的頁碼
    '''
    parrten=re.compile('<a\s+style="font-weight:\s+bold"\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)#爬去鏈接
    for t in til:
      self.deal2(t,page)
  def deal2(self,t,page):
    '''
    進行二次爬蟲，然后在新的頁面中對公司、薪資、工作經驗進行匹配
    :param t: url地址
    :param page: 當前匹配的頁數
    '''
    html=self.load(t)#返回二次爬蟲的內容
    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>職位月薪：</span><strong>(.*?) <a.*?>.*?</a></strong></li>',re.S)
    parrent3=re.compile('<li><span>工作經驗：</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="專屬頁面" 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):
    '''
    將最終爬去的內容寫入文件中
    :param context: 匹配好的內容
     :param page: 當前爬去的頁碼數
    '''
    fileName = "di" + str(page) + "yehtml.txt"
    with open(fileName, "a") as file:
      file.writelines(context + "\n")
if __name__ == '__main__':
  position=raw_input("請輸入職位：")
  workPlace=raw_input("請輸入工作地點：")
  z=zhiLian()
  z.spider(position,workPlace)

三、爬取貼吧：

#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("請輸入貼吧名：")
  startPage=raw_input("請輸入起始頁：")
  endPage=raw_input("請輸入終止頁：")
  t=teiba()
  t.spider(name,int(startPage),int(endPage))

以上就是簡單的python爬蟲代碼的詳細內容了，看完之后是否有所收獲呢？如果想了解更多相關內容，歡迎來億速云行業資訊！