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  • 爬取全部的校园新闻

    爬取全部的校园新闻
     
     
     

    1.从新闻url获取新闻详情: 字典,anews

    import requests
    from bs4 import BeautifulSoup
    from datetime import datetime
    import re
     
    def click(url):
        id=re.findall('(d{1,5})',url)[-1]
        clickUrl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id)
        resClick=requests.get(clickUrl)
        newsClick=int(resClick.text.split('.html')[-1].lstrip("('").rstrip("');"))
        return newsClick
     
    def newsdt(showinfo):
        newsDate=showinfo.split()[0].split(':')[1]
        newsTime=showinfo.split()[1]
        newsDT=newsDate+' '+newsTime
        dt=datetime.strptime(newsDT,'%Y-%m-%d %H:%M:%S')
        return dt
     
    def anews(url):
        newsDetail={}
        res=requests.get(url)
        res.encoding="utf-8"
        soup=BeautifulSoup(res.text,"html.parser")
        newsDetail['newsTitle']=soup.select('.show-title')[0].text
        showinfo=soup.select('.show-info')[0].text
        newsDetail['newsDT']=newsdt(showinfo)
        newsDetail['newsClick']=click(newsUrl)
        return newsDetail
     
    newsUrl='http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0322/11049.html'
    anews(newsUrl)
    

      

    2.从列表页的url获取新闻url:列表append(字典) alist

    #获取新闻列表页中的新闻url
    def alist(listUrl):
        get=requests.get(listUrl)
        get.encoding='utf-8'
        soup=BeautifulSoup(get.text,'html.parser')
        newsList=[]
        for news in soup.select('li'):
            if len(news.select('.news-list-title'))>0:
                newsUrl=news.select('a')[0]['href']
                newsList.append(newsUrl)
        return newsList
    

      

    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

    def alist(url):
        res=requests.get(listUrl)
        res.encoding='utf-8'
        soup = BeautifulSoup(res.text,'html.parser')
        newsList=[]
        for news in soup.select('li'):
            if len(news.select('.news-list-title'))>0:
                newsUrl=news.select('a')[0]['href']
                newsDesc=news.select('.news-list-description')[0].text
                newsDict=anews(newsUrl)
                newsDict['description']=newsDesc
                newsList.append(newsDict)
        return newsList
    listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
    alist(listUrl)
    allnews=[]
    for i in range(69,79):
        listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
        allnews.extend(alist(listUrl))
    len(allnews)
    

      

    4.设置合理的爬取间隔

    for i in range(5):
        time.sleep(random.random()*3)
    

      

    5.用pandas做简单的数据处理并保存

    保存到csv或excel文件 

    newsdf.to_csv(r'F:duym爬虫gzccnews.csv')

    import pandas as pd
    newsdf = pd.DataFrame(allnews)
    newsdf.to_csv(r'C:UsersAdministratorDesktop
    ews.csv')
    

      

    保存到数据库

    import sqlite3
    with sqlite3.connect('gzccnewsdb.sqlite') as db:
        newsdf.to_sql('gzccnewsdb',db)

    截图:

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  • 原文地址:https://www.cnblogs.com/lamonein/p/10786228.html
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