爬取全部校园新闻

作业要求来自：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

import re
url='http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0320/11029.html'
clickurl='http://oa.gzcc.cn/api.php?op=count&id=11029&modelid=80'

re.match('http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0320/(.*).html',url).groups(0)　

re.search('/(\d*).html',url).groups(1)　

id=re.findall('(\d+)',url)[-1]
clickurl="http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80".format(id)
clickurl

　　整理成函数：

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

　　

1.从新闻url获取新闻详情： 字典,anews

newsUrl='http://news.gzcc.cn/html/2005/xiaoyuanxinwen_0710/4.html'
anews=anews(newsUrl)
anews

　　

2.从列表页的url获取新闻url：列表append(字典) alist

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['newsUrl']=newsUrl
            newsDict['description']=newsDesc
            newsList.append(newsDict)
    return newsList
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
alist(listUrl)

　　

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

allnews=[]
for i in range(46,56):
    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

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 

import pandas as pd
newsdf=pd.DataFrame(allnews)
newsdf.to_csv(r'F:\gzccnews.csv')

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