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
from  bs4 import  BeautifulSoup
from datetime import datetime
import re

#获取新闻点击次数
def getClickCount(newsUrl):
    newsId = re.findall('\_(.*).html', newsUrl)[0].split('/')[1]
    clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsId)
    clickStr = requests.get(clickUrl).text
    count = re.search("hits'\).html\('(.*)'\);",clickStr).group(1)
    return count


# 获取新闻的信息
def getNewDetail(url):
    resd = requests.get(url)
    resd.encoding = 'utf-8'
    soupd = BeautifulSoup(resd.text, 'html.parser')
    title = soupd.select('.show-title')[0].text
    info = soupd.select('.show-info')[0].text
    time = info.lstrip('发布时间:')[0:19]
    dt = datetime.strptime(time, '%Y-%m-%d %H:%M:%S')

    if info.find('来源：') > 0:
        source = info[info.find('来源：'):].split()[0].lstrip('来源：')
    else:
        source = 'none'

    if info.find('作者：') > 0:
        author = info[info.find('作者：'):].split()[0].lstrip('作者：')
    else:
        author = 'none'

    clickcount=getClickCount(url);


    print('链接：{0}\n标题：{1}\n发布时间：{2}\n来源：{3}\n作者：{4}\n点击次数：{5}'.format(url, title, dt, source,author , clickcount))
    print('-----------------')

def getListPage(listPageUrl):
    res = requests.get(listPageUrl)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    for news in soup.select('li'):
        if len(news.select('.news-list-title')) > 0:
            # 获取新闻模块链接
            a = news.a.attrs['href']
            # 调用函数获取新闻正文
            getNewDetail(a)




url='http://news.gzcc.cn/html/xiaoyuanxinwen/'
resn = requests.get(url)
resn.encoding = 'utf-8'
soupn = BeautifulSoup(resn.text,'html.parser')
n = int(soupn.select('.a1')[0].text.rstrip('条'))


for i in range(n,n+1):
    pageUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    getListPage(pageUrl)

 

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。

 

import requests
import re
import jieba
from bs4 import BeautifulSoup
from datetime import datetime


def getNewsDetail(newsUrl):
    resd = requests.get(newsUrl)
    resd.encoding = 'gb2312'
    soupd = BeautifulSoup(resd.text, 'html.parser')

    content = soupd.select('#endText')[0].text
    info = soupd.select('.post_time_source')[0].text
    date = re.search('(\d{4}.\d{2}.\d{2}\s\d{2}.\d{2}.\d{2})', info).group(1)
    dateTime = datetime.strptime(date, '%Y-%m-%d %H:%M:%S')
    sources = re.search('来源:\s*(.*)', info).group(1)
    TopWords = getTopWords(content)
    print('发布时间：{0}\n来源：{1}'.format(dateTime, sources))
    print('关键词：{}、{}、{}、{}、{}'.format(TopWords[0], TopWords[1], TopWords[2],TopWords[3],TopWords[4]))
    print(content)
    print('---------------------------')

def getTopWords(content):
    str = '''一！“”，。？；’"',.、：\n'''
    for s in str:
        content=content.replace(s, ' ')
    wordlist = list(jieba.cut(content))
    exclude = {'这', '\u3000', '\r', '\xa0','时候','对','上','与','等','不','','没有','很多','的','大','出来', '_', '到',' ', '将', '在', '是', '了', '一', '还', '也', '《', '》', '（', '）','和','我','我们','其','能够','以','个','短','中','是','不是'}
    set2 = set(wordlist) - exclude
    dict = {}
    for key in set2:
        dict[key] = wordlist.count(key)
    dictlist = list(dict.items())
    dictlist.sort(key=lambda x: x[1], reverse=True)
    return dictlist;

def getListPage(listUrl):
    res = requests.get(listUrl)
    res.encoding = 'gbk'
    soup = BeautifulSoup(res.text, 'html.parser')
    for new in soup.select('#news-flow-content')[0].select('li'):
        url = new.select('a')[0]['href']
        title = new.select('a')[0].text
        print('标题：{0}\n链接：{1}'.format(title, url))
        getNewsDetail(url)
        break

listUrl = 'http://tech.163.com/telecom/'
getListPage(listUrl)
for i in range(2, 10):
    listUrl = 'http://tech.163.com/special/it_2016_%02d/' % i
    getListPage(listUrl)