用requests库和BeautifulSoup4库爬取新闻列表9-28

• 用requests库和BeautifulSoup4库，爬取校园新闻列表的时间、标题、链接、来源、详细内容。

  import requests
  from bs4 import BeautifulSoup
  
  gzccurl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
  res = requests.get(gzccurl)
  res.encoding='utf-8'
  soup = BeautifulSoup(res.text,'html.parser')
  
  for news in soup.select('li'):
      if len(news.select('.news-list-title'))>0:
          title = news.select('.news-list-title')[0].text #标题
          url = news.select('a')[0]['href'] #路径
          time = news.select('.news-list-info')[0].contents[0].text #时间
          source = news.select('.news-list-info')[0].contents[1].text #来源
          #正文
          resd = requests.get(url)
          resd.encoding='utf-8'
          soupd = BeautifulSoup(resd.text,'html.parser')
          detail = soupd.select('.show-content')[0].text
          print(time,title,url,source)
          print(detail)
          break
  
  

   

• 将其中的时间str转换成datetime类型。

  import requests
  from bs4 import BeautifulSoup
  from datetime import datetime

  gzccurl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
  res = requests.get(gzccurl)
  res.encoding='utf-8'
  soup = BeautifulSoup(res.text,'html.parser')

  for news in soup.select('li'):
  if len(news.select('.news-list-title'))>0:
  title = news.select('.news-list-title')[0].text #标题
  url = news.select('a')[0]['href'] #路径
  time = news.select('.news-list-info')[0].contents[0].text #时间
  dt = datetime.strptime(time,'%Y-%m-%d')
  source = news.select('.news-list-info')[0].contents[1].text #来源
  #正文
  resd = requests.get(url)
  resd.encoding='utf-8'
  soupd = BeautifulSoup(resd.text,'html.parser')
  detail = soupd.select('.show-content')[0].text
  print(dt,title,url,source)
  print(detail)
  break

  

  
  

   

• 将取得详细内容的代码包装成函数。

  import requests
  from bs4 import BeautifulSoup
  from datetime import datetime
  
  gzccurl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
  res = requests.get(gzccurl)
  res.encoding='utf-8'
  soup = BeautifulSoup(res.text,'html.parser')
  
  def getdetail(url):
      resd = requests.get(url)
      resd.encoding='utf-8'
      soupd = BeautifulSoup(resd.text,'html.parser')
      return soupd.select('.show-content')[0].text
  
  for news in soup.select('li'):
      if len(news.select('.news-list-title'))>0:
          title = news.select('.news-list-title')[0].text #标题
          url = news.select('a')[0]['href'] #路径
          time = news.select('.news-list-info')[0].contents[0].text #时间
          dt = datetime.strptime(time,'%Y-%m-%d')
          source = news.select('.news-list-info')[0].contents[1].text #来源
          #正文
          detail =  getdetail(url)
          print(dt,title,url,source)
          print(detail)
          break
  
  

   

• 选一个自己感兴趣的主题，做类似的操作，为后面“爬取网络数据并进行文本分析”做准备。

  import requests
  from bs4 import BeautifulSoup
  from datetime import datetime
  
  gzccurl = 'http://www.lbldy.com/tag/gqdy/'
  res = requests.get(gzccurl)
  res.encoding = 'utf-8'
  
  soup = BeautifulSoup(res.text,'html.parser')
  def getdetail(url):
      resd = requests.get(url)
      resd.encoding= 'utf-8'
      soupd = BeautifulSoup(resd.text,'html.parser')
      return(soupd.select('.show-content')[0].text)
  
  for news in soup.select('h4'):
      
          print(news)