获取全部校园新闻

1.取出一个新闻列表页的全部新闻 包装成函数。

2.获取总的新闻篇数，算出新闻总页数。

3.获取全部新闻列表页的全部新闻详情

import requests
import re

url = "http://news.gzcc.cn/html/xiaoyuanxinwen/"
listnewurl = "http://news.gzcc.cn/html/xiaoyuanxinwen/index.html"

res = requests.get(url)
reslist = requests.get(listnewurl)

res.encoding = 'utf-8'

# 利用BeautifulSoup的HTML解析器，生成结构树
from bs4 import BeautifulSoup

soup = BeautifulSoup(res.text, 'html.parser')
soup_list = BeautifulSoup(reslist.text, 'html.parser')


def getlistnew(listnewurl):  # 获取全部简单的新闻
    reslist = requests.get(listnewurl)
    reslist.encoding = 'utf-8'
    soup_list = BeautifulSoup(reslist.text, 'html.parser')

    tou = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
    shuzi = ''
    wei = '.html'

    for news in soup_list.select('li'):  #首页
        if len(news.select('.news-list-title')) > 0:
            # 首页文章标题
            title = news.select('.news-list-title')[0].text
            # 首页文章描述
            description = news.select('.news-list-description')[0].text
            # 首页文章链接
            href = news.select('a')[0]['href']

            print('------------------------------------------------------------------------------')
            print("文章标题：" + title)
            print("
文章描述：" + description)
            print("
文章链接：" + href)
            print('------------------------------------------------------------------------------')


    for i in range(2, 233):  #首页外全部
        shuzi = i;
        allnewurl='%s%s%s' % (tou, shuzi, wei)
        resalllist = requests.get(allnewurl)
        resalllist.encoding = 'utf-8'
        soup_alllist = BeautifulSoup(resalllist.text, 'html.parser')
        for news in soup_alllist.select('li'):
            if len(news.select('.news-list-title')) > 0:
                # 首页文章标题
                title = news.select('.news-list-title')[0].text
                # 首页文章描述
                description = news.select('.news-list-description')[0].text
                # 首页文章链接
                href = news.select('a')[0]['href']

                print('------------------------------------------------------------------------------')
                print("文章标题：" + title)
                print("
文章描述：" + description)
                print("
文章链接：" + href)
                print('------------------------------------------------------------------------------')


def getClickCount(url):
    HitUrl = 'http://oa.gzcc.cn/api.php?op=count&id=9183&modelid=80'
    hitNumber = requests.get(HitUrl).text.split('.html')[-1].lstrip("('").rstrip("');")
    print("点击次数:", hitNumber)

    re.match('http://news.gzcc.cn/html/2018/xiaoyuanxinwen(.*).html', url).group(1).split('/')[1]
    print('新闻编号:', re.search('\_(.*).html', url).group(1))


def getNewDetail(url):  # 获取首页的详细新闻
    res = requests.get(url)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')

    for news in soup.select('li'):
        if len(news.select('.news-list-title')) > 0:
            # 首页文章标题
            title = news.select('.news-list-title')[0].text
            # 首页文章描述
            description = news.select('.news-list-description')[0].text
            # 首页文章信息
            info = news.select('.news-list-info')[0].text
            # 首页文章链接
            href = news.select('a')[0]['href']

            url = href
            res = requests.get(url)
            res.encoding = 'utf-8'
            soup = BeautifulSoup(res.text, 'html.parser')

            # 获取每篇文章的信息
            newinfo = soup.select('.show-info')[0].text

            # 获取文章内容
            content = soup.select('#content')[0].text

            # 日期
            date = newinfo.split()[0]
            # 当日时间
            time = newinfo.split()[1]
            # 作者
            author = newinfo.split()[2]
            # 审核
            checker = newinfo.split()[3]
            # 来源
            source = newinfo.split()[4]
            # 摄影
            Photography = newinfo.split()[5]

            print('------------------------------------------------------------------------------')
            print("文章标题：" + title)
            print("
文章描述：" + description)
            print("
文章信息:
" + date + ' ' + time + '
' + author + '
' + checker + '
' + source + '
' + Photography)
            getClickCount(href)  # 点击次数、新闻编号
            print("
文章链接：" + href)
            print(content)
            print('------------------------------------------------------------------------------')


# getNewDetail(url)   #获取首页的详细新闻
getlistnew(listnewurl)  # 获取全部的简单新闻

4.找一个自己感兴趣的主题，进行数据爬取，并进行分词分析。不能与其它同学雷同。