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 requestsfrom bs4 import BeautifulSoupfrom datetime import datetimeimport 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)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)            breaklistUrl = '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+1for 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。

import requestsfrom bs4 import BeautifulSoupfrom datetime import datetimeimport jieba newsurl = 'http://tv.cctv.com/cctv5/'  def sort(text):    str = '''一！“”，。？；’"',.、：\n'''    for s in str:        text = text.replace(s, ' ')    wordlist = list(jieba.cut(text))    exclude = {
   '这', '\u3000', '\r', '\xa0', '的', '_', ' ', '将', '在', '是', '了', '一', '还', '也', '《', '》', '(', ')'}    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)    print("top5关键词:")    for i in range(5):        print(dictlist[i])  def getContent(url):    res = requests.get(url)    res.encoding = 'utf-8'    soup2 = BeautifulSoup(res.text, 'html.parser')    for news in soup2.select('.l_a'):        if len(news.select('.author'))>0:            author=news.select('.author')[0].text            print("作者",author)    content = soup2.select('.la_con')[0].text.rstrip('AD_SURVEY_Add_AdPos("7000531");')    print("正文:", content)    sort(content)  def getNewDetails(newsurl):    res = requests.get(newsurl)    res.encoding = 'utf-8'    soup = BeautifulSoup(res.text, 'html.parser')    for news in soup.select('.item'):        #  print(news)        title = news.select('a')[0].attrs['title']        a = news.select('a')[0].attrs['href']        brief = news.select('h5')[0].text.rstrip('[详细]')        time = news.select('h6')[0].text        dt = datetime.strptime(time, '%Y-%m-%d %H:%M')        print("新闻标题:", title)        print("链接:", a)        print("内容简介:", brief)        print("时间:", dt)        getContent(a)        print('\n')    # break  res = requests.get(newsurl)res.encoding = 'utf-8'soup = BeautifulSoup(res.text, 'html.parser')getNewDetails(newsurl)