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：deng -*-
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.search(r'\_d{4}/((.*)).html', url).group(1)
    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}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}、|w*s){1,3})', info).group(1)
    else:
        author = 'none'
    if(info.find('审核：')>0):
        check = re.search('审核：((.{2,4}s){1,3})', info).group(1)
    else:
        check = 'none'
    if(info.find('来源：')>0):
        sources = re.search('来源：(.*)s*摄|点', info).group(1)
    else:
        sources = 'none'
    if (info.find('摄影：') > 0):
        photo = re.search('摄影：(.*)s*点', info).group(1)
    else:
        photo = 'none'
    # 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}
作者：{1}
审核：{2}
来源：{3}
摄影：{4}
点击次数：{5}'.format(dateTime, author, check, sources, photo, count))
    print(content)


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


listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
getListPage(listUrl)
res = requests.get(listUrl)
res.encoding = 'utf-8'
soup = BeautifulSoup(res.text, 'html.parser')
listCount = int(soup.select('.a1')[0].text.rstrip('条'))//10+1

for i in range(2,listCount):
    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。

# -*- coding：UTF-8 -*-
# -*- author：deng -*-
import requests
import jieba
from bs4 import BeautifulSoup
from datetime import datetime
import re

# 获取新闻细节
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
    # 识别时间格式
    date = re.search('(d{4}.d{2}.d{2}sd{2}.d{2}.d{2})', 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')
    sources = re.search('来源:s*(.*)', info).group(1)
    keyWords = getKeyWords(content)
    print('发布时间：{0}
来源：{1}'.format(dateTime, sources))
    print('关键词：{}、{}、{}'.format(keyWords[0], keyWords[1], keyWords[2]))
    print(content)

# 通过jieba分词，获取新闻关键词
def getKeyWords(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
    content = ''.join(re.findall('[u4e00-u9fa5]', content))
    wordSet = set(jieba._lcut(content))
    wordDict = {}
    for i in wordSet:
        wordDict[i] = content.count(i)
    deleteList, keyWords = [], []
    for i in wordDict.keys():
        if len(i) < 2:
            # 去掉单字无意义字符
            deleteList.append(i)
    for i in deleteList:
        del wordDict[i]
    dictList = list(wordDict.items())
    # 排序，返回前三关键字
    dictList.sort(key=lambda item: item[1], reverse=True)
    for i in range(3):
        keyWords.append(dictList[i][0])
    return keyWords

# 获取一页的新闻
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'):
        newsUrl = new.select('a')[0]['href']
        title = new.select('a')[0].text
        print('标题：{0}
链接：{1}'.format(title, newsUrl))
        getNewsDetail(newsUrl)  # 调用getNewsDetail()获取新闻详情
        break  # z只获取单个新闻，若要获取整页则去掉break

listUrl = 'http://tech.163.com/internet/'
getListPage(listUrl)  # 获取首页新闻
for i in range(2, 5):  # 获取5页新闻
    listUrl = 'http://tech.163.com/special/it_2016_%02d/' % i  # 填充新闻页，页面格式为两位数字字符
    getListPage(listUrl)