爬取全部的校园新闻

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

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')

全部代码：

import re
url ='http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0410/11181.html'
clickurl = 'http://oa.gzcc.cn/api.php?op=count&id=11029&modelid=80'

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

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

re.findall('(\d+)',url)[-1]

clickurl='http://oa.gzcc.cn/api.php?op=count&id=11029&modelid=80'.format(id)
clickurl

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=11029&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')
    showinfo = soup.select('.show-info')[0].text
    newsdetail['newstitle'] =soup.select('.show-title')[0].text
    newsdetail['newsdt'] = newsdt(showinfo)
    newsdetail['newsclick'] = click(newsUrl)
    return newsdetail

newsurl = 'http://news.gzcc.cn/html/2019/xibusudi_0411/11189.html'
anews = anews(newsurl)
anews


def anews(url):
    newsdetail = {}
    res = requests.get(url)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text,'html.parser')
    showinfo = soup.select('.show-info')[0].text
    newsdetail['newstitle'] =soup.select('.show-title')[0].text
    newsdetail['newsdt'] = newsdt(showinfo)
    newsdetail['newsclick'] = click(newsUrl)
    return newsdetail

def alist(listurl):
    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)


res=requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen/')
res.encoding = 'utf-8'
soup=BeautifulSoup(res.text,'html.parser')
soup.select('#pages')[0].text

int(re.search('..(\d+).下',soup.select('#pages')[0].text).groups(1)[0])

listurl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
allnews = alist(listurl)

for i in range(2,12):
    listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    allnews.extend(alist(listurl))
    
len(allnews)

import pandas as pd
newsdf = pd.DataFrame(allnews)

newsdf

newsdf = pd.DataFrame(allnews)
newsdf.to_csv(r'F:\gzcc.csv')

　　

 效果截图：