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 locale
import re
locale.setlocale(locale.LC_CTYPE,'chinese')

def getClickCount(newsUrl):
    newsId = re.findall('\_(.*).html', newsUrl)[0].split('/')[1]   #使用正则表达式取得新闻编号
    clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsId)
    clickStr = requests.get(clickUrl).text
    return(re.search("hits').html('(.*)');",clickStr).group(1))

def getNewsContent(content):
    f = open('gzccNews.txt','a',encoding='utf8')
    f.write(content)
    f.close()

def getNewDetail(newsUrl):
    resd = requests.get(newsUrl)  # 返回response
    resd.encoding = 'utf-8'
    soupd = BeautifulSoup(resd.text, 'html.parser')
    print('标题：' + soupd.select('.show-title')[0].text)
    print('链接：'+newsUrl)
    newsUrl = newsUrl
    info = soupd.select('.show-info')[0].text
    time = re.search('发布时间:(.*) xa0xa0 xa0xa0作者：', info).group(1)
    dtime = datetime.strptime(time, '%Y-%m-%d %H:%M:%S')
    if info.find('作者：') > 0:
        author = info[info.find('作者：'):].split()[0].lstrip('作者：')
    else:
        author = '无'
    if info.find('审核：') > 0:
        check = info[info.find('审核：'):].split()[0].lstrip('审核：')
    else:
        check = '无'
    if info.find('来源：') > 0:
        source = info[info.find('来源：'):].split()[0].lstrip('来源：')
    else:
        sourec = '无'
    if info.find('摄影：') > 0:
        photo = info[info.find('摄影：'):].split()[0].lstrip('摄影：')
    else:
        photo = '无'
    print('发布时间：{}
作者：{}
审核：{}
来源：{}
摄影：{}'.format(dtime,author,check,source,photo))
    clickCount = getClickCount(newsUrl)
    print('点击次数：' + clickCount)
    content = soupd.select('.show-content')[0].text
    getNewsContent(content)
    # print(content)

def getLiUrl(ListPageUrl):
    res = requests.get(ListPageUrl)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text,'html.parser')
    # print(soup.select('li'))
    for news in soup.select('li'):
        if len(news.select('.news-list-title'))>0:
            a = news.a.attrs['href']
            getNewDetail(a)

firstUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
print('第1页：')
getLiUrl(firstUrl)
res = requests.get(firstUrl)
res.encoding = 'utf-8'
soupn = BeautifulSoup(res.text,'html.parser')
n =  int(soupn.select('.a1')[0].text.rstrip('条'))//10+1

# for i in range(2,n):
#     pageUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
#     print('第{}页：'.format(i))
#     getLiUrl(pageUrl)
#     break

结果截图：

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,jieba,locale
from  bs4 import  BeautifulSoup
locale.setlocale(locale.LC_CTYPE,'chinese')

def getKeyWords(text):
    str = '''一！“”，。？、；’"',.、	：
'''
    for s in str:
        text = text.replace(s, '')
    wordlist = list(jieba.cut(text))
    exclude = {'是','的','在','了','个','和','说',}
    wordset = set(wordlist) - exclude
    dict = {}
    keywords = []
    for key in wordset:
        dict[key] = wordlist.count(key)
    dictlist = list(dict.items())
    dictlist.sort(key=lambda x: x[1], reverse=True)
    for i in range(5):
        keywords.append(dictlist[i][0])
    return  keywords

def getNewDetail(newsUrl):
    resd = requests.get(newsUrl)  # 返回response
    resd.encoding = 'gbk'
    soupd = BeautifulSoup(resd.text, 'html.parser')
    print('链接：' + newsUrl)
    print('标题：' + soupd.select('h1')[0].text)
    content = soupd.select('.box_con')[0].text
    keywords = getKeyWords(content)
    print('关键词：{}、{}、{}'.format(keywords[0], keywords[1], keywords[2]))
    tands = soupd.select('.box01')[0].text
    print('日期：'+tands.split()[0])
    print(tands.split()[1])
    print(soupd.select('.edit')[0].text.lstrip('(').rstrip(')'))
    print(content)

def getLiUrl(ListPageUrl):
    res = requests.get(ListPageUrl)
    res.encoding = 'gbk'
    soupn = BeautifulSoup(res.text,'html.parser')
    # print(soupn.select('li'))
    for news in soupn.select('.on'):
            atail = news.a.attrs['href']
            a = 'http://legal.people.com.cn/'+atail
            getNewDetail(a)
            break

Url = 'http://legal.people.com.cn/'
res = requests.get(Url)
res.encoding = 'gbk'
soup = BeautifulSoup(res.text,'html.parser')
print('第1页：')
getLiUrl(Url)
for i in range(2,6):
    pageUrl = 'http://legal.people.com.cn/index{}.html#fy01'.format(i)
    print('第{}页：'.format(i))
    getLiUrl(pageUrl)
    break

结果截图：