用requests库和BeautifulSoup4库爬取新闻列表

1、requests库和BeautifulSoup4库，爬取校园新闻列表的时间、标题、链接、来源。

import requests
from bs4 import BeautifulSoup
url='http://news.gzcc.cn/html/xiaoyuanxinwen/'
res=requests.get(url)
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
time=news.select('.news-list-info')[0].contents[0].text #时间
url=news.select('a')[0]['href']                                      #链接
thumb=news.select('.news-list-thumb')[0].contents[0]
print(time)
print(title)
print(url)
print(thumb)

结果：

2、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']#链接
time = news.select('.news-list-info')[0].contents[0].text
dt = datetime.strptime(time,'%Y-%m-%d')
source = news.select('.news-list-info')[0].contents[1].text#来源
print(dt,'\n',title,'\n',url,'\n',source)

结果：

3、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

 结果：

4、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://news.gzcc.cn/html/gnyw/'
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')
                                                                                                   #正文
detail = getdetail(url)
print(dt,title,url,detail)
break

结果：