爬取所有校园新闻

Posted 2020-10-10 吴林鸿

1.获取单条新闻的#标题#链接#时间#来源#内容 #点击次数，并包装成一个函数。

from datetime import datetime
import requests
from bs4 import BeautifulSoup
import re
html=‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘
res = requests.get(html)
res.encoding=‘utf-8‘
soup = BeautifulSoup(res.text,‘html.parser‘)
def getdetail(htm):
    resd = requests.get(htm)
    resd.encoding=‘utf-8‘
    soupd = BeautifulSoup(resd.text,‘html.parser‘)
    return soupd.select(‘.show-content‘)[0].text
def getclick(newsurl):
    id =re.match(‘http://news.gzcc.cn/html/2017/xiaoyuanxinwen_(.*).html‘,newsurl).groups()[0].split(‘/‘)[1]
    clickurl="http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80".format(id)
    click=int(requests.get(clickurl).text.split(‘.‘)[-1].lstrip("html(‘").rstrip("‘);"))
    return(click)
for news in soup.select(‘li‘):
     if len(news.select(‘.news-list-title‘))>0:
         htm = news.select(‘a‘)[0][‘href‘]
         print (news.select(‘a‘)[0][‘href‘])
         print (news.select(‘.news-list-title‘)[0].text)
         time=news.select(‘.news-list-info‘)[0].contents[0].text
         print (datetime.strptime(time,‘%Y-%m-%d‘))
         print (news.select(‘.news-list-info‘)[0].contents[1].text)
         detail =  getdetail(htm)
         click=getclick(htm)
         print(detail)
         print(click)
  
    

2.获取一个新闻列表页的所有新闻的上述详情，并包装成一个函数。

3.获取所有新闻列表页的网址，调用上述函数。

4.完成所有校园新闻的爬取工作。

import requests
from bs4 import BeautifulSoup
import re

url_main="http://news.gzcc.cn/html/xiaoyuanxinwen/"
res = requests.get(url_main)
res.encoding = ‘utf-8‘

soup = BeautifulSoup(res.text,‘html.parser‘)
li = soup.select(‘li‘)

def gethits(url_1):
    li_id =re.search(‘_.*/(.*).html‘,url_1).groups(0)[0]
    hits = requests.get(‘http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80‘.format(li_id)).text.split(‘.‘)[-1].rstrip(‘‘‘‘);‘‘‘).lstrip(‘‘‘‘html(‘‘‘)
    return hits

def getpageinfo(label):
    for title_list in label:
        if len(title_list.select(‘.news-list-title‘))>0:
            href = title_list.select(‘a‘)[0][‘href‘]
            title = title_list.select(‘.news-list-title‘)[0].text
            time = title_list.select(‘span‘)[0].text
            info = title_list.select(‘span‘)[1].text

            res_list = requests.get(href)
            res_list.encoding = ‘utf-8‘
            soup_list = BeautifulSoup(res_list.text,‘html.parser‘)
            text_list = soup_list.select(‘.show-content‘)[0].text

            hits_list = gethits(href)

            print(‘时间：‘,time,
                  ‘\n标题：‘,title,
                  ‘\n链接：‘,href,
                  ‘\n来源：‘,info,
                  ‘\n点击次数：‘,hits_list,‘\n‘)
            
            print(‘正文：‘,text_list)
            
getpageinfo(li)

pages = int(soup.select(‘.a1‘)[0].text.rstrip(‘条‘))//10+1

for i in range(2,pages+1):
    url_page = "http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html".format(i)
    
    res_page = requests.get(url_page)
    res_page.encoding = ‘utf-8‘

    soup_page = BeautifulSoup(res_page.text,‘html.parser‘)
    list_page = soup.select(‘li‘)
    getpageinfo(list_page)
    print(url_page)

5.完成自己所选其他主题相应数据的爬取工作。

from datetime import datetime
import requests
from bs4 import BeautifulSoup
html=‘http://mil.qq.com/mil_index.htm‘
res = requests.get(html)
res.encoding=‘gb2312‘
soup = BeautifulSoup(res.text,‘html.parser‘)
for news in soup.select(‘.Q-tpList‘):
        if len(news.select(‘.Q-tpWrap‘))>0:
         htm = news.select(‘a‘)[0][‘href‘]
         print (news.select(‘a‘)[0][‘href‘])
         print (news.select(‘.linkto‘)[0].text)
         print (news.select(‘.from‘)[0].text)
         print (news.select(‘.discuzBtn‘)[0].text)