用requests库和BeautifulSoup4库爬取新闻列表

Posted 2020-10-08

 

1、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

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\'] #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

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

 

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/meitishijie/\'
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