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。

# -*- coding : UTF-8 -*-
# -*- author : onexiaofeng -*-


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



# 获取新闻点击次数
def getClickCount(url):
    #使用正则表达式获得新闻编号
    newsId = re.findall(r'\_(.*).html', url)[0][-4:]
    #生成点击次数的Request URL
    clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsId)
    clickRes = requests.get(clickUrl)
    # 利用正则表达式获取新闻点击次数
    clickCount = int(re.search("hits').html('(.*)');", clickRes.text).group(1))
    return clickCount

def Get_page(url):
    content_info = {}
    res = requests.get(url)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    for new in soup.select('li'):
        if len(new.select('.news-list-title')) > 0:

            newsUrl = new.select('a')[0]['href']
            # 调用getNewsDetail()获取新闻详情

            resd = requests.get(newsUrl)
            resd.encoding = 'utf-8'
            soupd = BeautifulSoup(resd.text, 'html.parser')

            content = soupd.select('#content')[0].text
            info = soupd.select('.show-info')[0].text
            # 调用getNewsId()获取点击次数
            count = getClickCount(newsUrl)
            # 识别时间格式
            date = re.search('(d{4}.d{2}.d{2}sd{2}.d{2}.d{2})', info).group(1)
            # 识别一个至三个数据
            if (info.find('作者：') > 0):
                author = re.search('作者：((.{2,4}s|.{2,4}、){1,3})', info).group(1)
            if (info.find('审核：') > 0):
                check = re.search('审核：((.{2,4}s){1,3})', info).group(1)
            if (info.find('来源：') > 0):
                sources = re.search('来源：(.*)s*摄|点', info).group(1)
            # 用datetime将时间字符串转换为datetime类型
            dateTime = datetime.strptime(date, '%Y-%m-%d %H:%M:%S')
            # 利用format对字符串进行操作
            print('--------------------------------------------------------')
            print('发布时间：{0}
作者：{1}
审核：{2}
来源：{3}
点击次数：{4}'.format(dateTime, author, check, sources, count))
            #print(content)






url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
resd = requests.get(url)
resd.encoding = 'utf-8'
soup1 = BeautifulSoup(resd.text, 'html.parser')
n = int(soup1.select('.a1')[0].text.rstrip('条'))//10+1
# listCount = int(soup.select('.a1')[0].text.rstrip('条'))//10+1
Get_page(url)
for i in range(2, n):
    Get_page('http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i))

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。

# -*- coding : UTF-8 -*-
# -*- author : onexiaofeng -*-


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


# 获取新闻点击次数
'''
def getClickCount(url):
    # 使用正则表达式获得新闻编号
    newsId = re.findall(r'\_(.*).html', url)[0][-4:]
    # 生成点击次数的Request URL
    clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsId)
    clickRes = requests.get(clickUrl)
    # 利用正则表达式获取新闻点击次数
    clickCount = int(re.search("hits').html('(.*)');", clickRes.text).group(1))
    return clickCount
'''
def getKeynews(content):
    content = ''.join(re.findall('[u4e00-u9fa5]', content))  # 通过正则表达式选取中文字符数组，拼接为无标点字符内容
    #去掉重复的字符生成集合
    newSet = set(jieba._lcut(content))
    print(newSet)
    newDict = {}
    for i in newSet:
        newDict[i] = content.count(i)
    deleteList, keynews = [], []
    for i in newDict.keys():
        if len(i) < 2:
            deleteList.append(i)  # 去掉单字无意义字符
    for i in deleteList:
        del newDict[i]
    dictList = list(newDict.items())
    dictList.sort(key=lambda item: item[1], reverse=True)  # 排序，返回前三关键字
    for i in range(3):
        keynews.append(dictList[i][0])
    return keynews

def getNewsDetail(newsUrl):
    resd = requests.get(newsUrl)
    resd.encoding = 'utf-8'
    soupd = BeautifulSoup(resd.text, 'html.parser')

    source=soupd.select('.comeFrom')[0].select('a')[0].text
    time=soupd.select('#pubtime_baidu')[0].text
    content = soupd.select('.artical-main-content')[0].text
    keynews = getKeynews(content)

    print('发布时间：{0}
来源：{1}'.format(time, source))
    print('新闻内容：{0}
'.format(content))
    print('前三关键字：{0}
'.format(keynews))






def Get_page(url):
    res = requests.get(url)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    # print(soup.select('.tag-list-box')[0].select('.list'))
    for new in soup.select('.tag-list-box')[0].select('.list'):
        #print(new.select('.list-content')[0] .select('.name')[0].select('.n1')[0].select('a')[0]['href'])
        url =new.select('.list-content')[0] .select('.name')[0].select('.n1')[0].select('a')[0]['href']
        getNewsDetail(url)
        print(url)
        #break
        # break

        # print(url)




url = 'https://voice.hupu.com/nba/tag/3023-1.html'
resd = requests.get(url)
resd.encoding = 'utf-8'
soup1 = BeautifulSoup(resd.text, 'html.parser')

# listCount = int(soup.select('.a1')[0].text.rstrip('条'))//10+1
Get_page(url)
for i in range(2, 4):
    Get_page('https://voice.hupu.com/nba/tag/3023-{}.html'.format(i))