• 爬取全部的校园新闻


    作业来源:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE1/homework/3002

    0.从新闻url获取点击次数,并整理成函数

    • newsUrl
    • newsId(re.search())
    • clickUrl(str.format())
    • requests.get(clickUrl)
    • re.search()/.split()
    • str.lstrip(),str.rstrip()
    • int
    • 整理成函数
    • 获取新闻发布时间及类型转换也整理成函数

    1.从新闻url获取新闻详情: 字典,anews

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

    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

    4.设置合理的爬取间隔

    import time

    import random

    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')

    代码:

     1 import requests
     2 from bs4 import BeautifulSoup
     3 from datetime import datetime
     4 import re
     5 import sqlite3
     6 import pandas as pd
     7 import time
     8 import pandas
     9 import random
    10  
    11 #获取点击数
    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#获取新闻时间
    18 def newsdt(showinfo):
    19     newsDate=showinfo.split()[0].split(':')[1]
    20     newsTime=showinfo.split()[1]
    21     newsDT=newsDate+' '+newsTime
    22     dt=datetime.strptime(newsDT,'%Y-%m-%d %H:%M:%S')
    23     return dt
    24 #获取新闻信息
    25 def anews(url):
    26     newsDetail={}
    27     res=requests.get(url)
    28     res.encoding='utf-8'
    29     soup=BeautifulSoup(res.text,'html.parser')
    30     newsDetail['newsTitle']=soup.select('.show-title')[0].text
    31     showinfo=soup.select('.show-info')[0].text
    32     newsDetail['newsDT']=newsdt(showinfo)
    33     newsDetail['newsClick']=click(url)
    34     return newsDetail
    35  
    36 def alist(url):
    37     res=requests.get(listUrl)
    38     res.encoding='utf-8'
    39     soup=BeautifulSoup(res.text,'html.parser')
    40     newsList=[]
    41     for news in soup.select('li'):
    42         if len(news.select('.news-list-title'))>0:
    43             newsUrl=news.select('a')[0]['href']
    44             newsDest=news.select('.news-list-description')[0].text
    45             newsDict=anews(newsUrl)
    46             newsDict['description']=newsDest
    47             newsList.append(newsDict)
    48     return newsList
    49  
    50  
    51 #url= 'http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html'
    52 #anews(url)
    53  
    54 url = 'http://news.gzcc.cn/html/xiaoyuanxinwen'
    55 res=requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen')
    56 res.encoding='utf-8'
    57 soup=BeautifulSoup(res.text,'html.parser')
    58 for news in soup.select('li'):
    59     if len(news.select('.news-list-title'))>0:
    60         newsUrl=news.select('a')[0]['href']
    61         
    62 allnews = []#获取新闻第2-第12页的所有新闻
    63 for i in range(2,12):
    64     listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    65     allnews.extend(alist(listUrl))   
    66 pd.Series(allnews)#保存文件
    67 newsdf=pd.DataFrame(allnews)
    68 newsdf.sort_index(by=['newsClick'],ascending=False)
    69 newsdf.to_csv(r'F:hhb.csv')#输出点击数大于385的新闻
    70 with sqlite3.connect('gzccnewsdb.sqlite')as db:
    71     df2=pandas.read_sql_query('SELECT * FROM gzccnewsdb',con=db)
    72 df2[df2['newsClick']>385]


    运行结果:

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  • 原文地址:https://www.cnblogs.com/Tily/p/10711286.html
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