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 getNewsId(url):
    newsId = re.findall(r'\_(.*).html', url)[0][-4:]
    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


# 获取新闻细节
def getNewsDetail(newsUrl):
    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 = getNewsId(newsUrl)
    # 识别时间格式
    date = re.search('(\d{4}.\d{2}.\d{2}\s\d{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('发布时间：{0}\n作者：{1}\n审核：{2}\n来源：{3}\n点击次数：{4}'.format(dateTime, author, check, sources, count))
    print(content)

# 获取列表页新闻
def getListPage(listUrl):
    res = requests.get(listUrl)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')

    for new in soup.select('li'):
        if len(new.select('.news-list-title')) > 0:
            title = new.select('.news-list-title')[0].text
            description = new.select('.news-list-description')[0].text
            newsUrl = new.select('a')[0]['href']

            print('标题:{0}\n内容:{1}\n链接:{2}'.format(title, description, newsUrl))
            # 调用getNewsDetail()获取新闻详情
            getNewsDetail(newsUrl)
            break

# 获取新闻总页数
def getListTotalNumber(firstUrl):
    res = requests.get(firstUrl)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    listCount = int(soup.select('.a1')[0].text.rstrip('条')) // 10 + 1
    return listCount

firstUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
getListPage(firstUrl)
# 获取新闻总页数
n=getListTotalNumber(firstUrl)

for i in range(2,n):
    listUrl= 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    getListPage(listUrl)

 

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
from bs4 import BeautifulSoup

# 获取新闻细节
def getNewsDetail(newsUrl):
    resd = requests.get(newsUrl)
    resd.encoding = 'utf-8'
    soupd = BeautifulSoup(resd.text, 'html.parser')
    content = soupd.select('.cont')[0].text.rsplit("青云志下载地址:http://www.80smp4.net/mp4_3gp/30833/")[0]
    print('内容:{}'.format(content))

# 获取列表页新闻
def getListPage(listUrl):
    res = requests.get(listUrl)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')

    for new in soup.select('div'):
        if len(new.select('.ph_u')) > 0:
            description = new.select('.title')[0].text.split()[0]
            newsUrl = new.select('a')[0]['href']
            # print('标题:{0}\n内容:{1}\n链接:{2}'.format(title, description, newsUrl))
            # 调用getNewsDetail()获取新闻详情
            print('片名:{0}\n连接:{1}'.format(description,newsUrl))
            getNewsDetail(newsUrl)
            break

firstUrl = 'http://www.80smp4.net/tv/'
getListPage(firstUrl)

 

运行结果：