爬取全部的校园新闻

 

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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(xbk):
    id=re.findall('(\d{1,5})',xbk)[-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 anewsDate(xbk):
    newsDetail={}
    res=requests.get(xbk)
    res.encoding='utf-8'
    soup=BeautifulSoup(res.text,'html.parser')
    newsDetail['nenewsTitle']=soup.select('.show-title')[0].text
    showinfo=soup.select('.show-info')[0].text
    newsDetail['newsDT']=newsdt(showinfo)
    newsDetail['newsClick']=click(newsUrl)
    return newsDetail
newsZD='http://news.gzcc.cn/html/2005/xiaoyuanxinwen_0710/4.html'
anewsDate(newsXBK)
res = requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen/')
res.encoding='utf-8'
soup = BeautifulSoup(res.text,'html.parser')
for news in soup.select('li'):
    if len(news.select('.news-list-title'))>0:
        newsUrl=news.select('a')[0]['href']
        print(anews(newsUrl))
运行结果如下：

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

ZD='http://news.gzcc.cn/html/xiaoyuanxinwen/'
res=requests.get(ZD)
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)
newsList

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')

 

保存到数据库

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