获取全部校园新闻

Posted 2020-10-30 蓝海鹏

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.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}\\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}、|\\w*\\s){1,3})\', info).group(1)
    else:
        author = \'无\'
    if(info.find(\'审核：\')>0):
        check = re.search(\'审核：((.{2,4}\\s){1,3})\', info).group(1)
    else:
        check = \'无\'
    if(info.find(\'来源：\')>0):
        sources = re.search(\'来源：(.*)\\s*摄|点\', info).group(1)
    else:
        sources = \'无\'
    if (info.find(\'摄影：\') > 0):
        photo = re.search(\'摄影：(.*)\\s*点\', info).group(1)
    else:
        photo = \'无\'
    # 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摄影：{4}\\n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}\\n内容:{1}\\n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。

爬取网易科技频道IT专题：

 

 代码：

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

# 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
    date = re.search(\'(\\d{4}.\\d{2}.\\d{2}\\s\\d{2}.\\d{2}.\\d{2})\', info).group(1)  # 识别时间格式
    dateTime = datetime.strptime(date, \'%Y-%m-%d %H:%M:%S\')  # 用datetime将时间字符串转换为datetime类型
    sources = re.search(\'来源:\\s*(.*)\', info).group(1)
    keyWords = getKeyWords(content)
    print(\'发布时间：{0}\\n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):
    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
    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:
            deleteList.append(i)  # 去掉单字无意义字符
    for i in deleteList:
        del wordDict[i]
    dictList = list(wordDict.items())
    dictList.sort(key=lambda item: item[1], reverse=True)  # 排序，返回前三关键字
    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}\\n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/it/\'
getListPage(listUrl)  # 获取首页新闻
for i in range(2, 20):  # 因为网易新闻频道只存取20页新闻，直接设置20
    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)

结果截图：