爬取全部的校园新闻

淩亂°似流年 2021-12-21 08:53 348阅读 0赞

1.从新闻url获取新闻详情： 字典,anews

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1 # -*- coding: utf-8 -*-
     2 """
     3 Spyder Editor
     4 
     5 This is a temporary script file.
     6 """
     7 import requests
     8 from bs4 import BeautifulSoup
     9 from datetime import datetime
    10 import re
    11 
    12 def click(url):
    13     id = re.findall('(\d{1,5})',url)[-1]
    14     clickUrl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id)
    15     resClick = requests.get(clickUrl)
    16     newsClick = int(resClick.text.split('.html')[-1].lstrip("('").rstrip("');"))
    17     return newsClick
    18 
    19 def newsdt(showinfo):
    20     newsDate = showinfo.split()[0].split(':')[1]
    21     newsTime = showinfo.split()[1]
    22     newDT = newsDate+' '+newsTime
    23     dt = datetime.strptime(newDT,'%Y-%m-%d %H:%M:%S')
    24     return dt
    25 
    26 def anews(url):
    27     newsDetail = {}
    28     res = requests.get(url)
    29     res.encoding = 'utf-8'
    30     soup = BeautifulSoup(res.text,'html.parser')
    31     newsDetail['nenewsTitle'] = soup.select('.show-title')[0].text
    32     showinfo = soup.select('.show-info')[0].text
    33     newsDetail['newsDT'] = newsdt(showinfo)
    34     newsDetail['newsClick'] = click(newsUrl)
    35     return newsDetail
    36 
    37 newsUrl = 'http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html'
    38 anews(newsUrl)
    39 
    40 res=requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen')
    41 res.encoding='utf-8'
    42 soup = BeautifulSoup(res.text,'html.parser') 
    43 
    44 for news in soup.select('li'):
    45     if len(news.select('.news-list-title'))>0:
    46         newsUrl = news.select('a')[0]['href']
    47         print(anews(newsUrl))

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2.从列表页的url获取新闻url：列表append(字典) alist

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1 listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
     2 res = requests.get(listUrl)
     3 res.encoding='utf-8'
     4 soup = BeautifulSoup(res.text,'html.parser') 
     5 newsList=[]
     6 for news in soup.select('li'):
     7     if len(news.select('.news-list-title'))>0:
     8         newsUrl=news.select('a')[0]['href']
     9         newsDesc=news.select('.news-list-description')[0].text
    10         newsDict=anews(newsUrl)
    11         newsDict['description']=newsDesc
    12         newsList.append(newsDict)
    13 print(newsList)

![1480601-20190408162808794-1715768425.png][]

3.生成所页列表页的url并获取全部新闻 ：列表extend(列表) allnews

\*每个同学爬学号尾数开始的10个列表页

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1 def alist(url):
     2     res=requests.get(listUrl)
     3     res.encoding='utf-8'
     4     soup = BeautifulSoup(res.text,'html.parser')
     5     newsList=[]
     6     for news in soup.select('li'):
     7         if len(news.select('.news-list-title'))>0:
     8             newsURL=news.select('a')[0]['href']
     9             newsDesc=news.select('.news-list-description')[0].text
    10             newsDict=anews(newsURL)
    11             newsDict['description']=newsDesc
    12             newsList.append(newsDict)
    13     return newsList
    14 listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
    15 alist(listUrl)
    16 
    17 allnews=[]
    18 for i in range(78,88):
    19     listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    20     allnews.extend(alist(listUrl))
    21 len(allnews)
    22 print(allnews)

![1480601-20190408163504452-174203476.png][]

4.设置合理的爬取间隔

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1 allnews=[]
     2 for i in range(78,88):
     3     listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
     4     allnews.extend(alist(listUrl))
     5 len(allnews)
     6 
     7 pd.Series(anews)
     8 newsdf=pd.DataFrame(allnews)
     9 for i in range(5):
    10     print(i)
    11     time.sleep(random.random()*3)        
    12     print(newsdf)

![1480601-20190408164823254-1303524907.png][]

5.用pandas做简单的数据处理并保存

保存到csv或excel文件

1 newsdf.to_csv(r'F:\hhhh.csv')

![1480601-20190408165246363-735174985.png][]

保存到数据库

import sqlite3  
with sqlite3.connect('gzccnewsdb.sqlite') as db:  
    newsdf.to\_sql('gzccnewsdb',db)

![1480601-20190408171006317-1761055864.png][]

转载于:https://www.cnblogs.com/hzj111/p/10671765.html

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