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
import requests
from bs4 import BeautifulSoup
from datetime import datetime
import re
import time

def getClickCount(newurl):
    newsId = re.search('\_(.*).html',newurl).group(1).split('/')[1]
    # 生成点击次数的Request URL
    clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsId)
    return((requests.get(clickUrl).text.split('.html')[-1].lstrip("('").rstrip("');")))

def getNewsDetail(newurl):         #读取一篇新闻的所有信息
    resd = requests.get(newurl)
    resd.encoding = 'utf-8'
    soupd = BeautifulSoup(resd.text, 'html.parser')    #打开新闻详细页并解析

    title=soupd.select('.show-title')[0].text
    info=soupd.select('.show-info')[0].text
    dt=datetime.strptime(info.lstrip('发布时间:')[0:19],'%Y-%m-%d %H:%M:%S')
    if info.find('来源：')>0:
        source=info[info.find('来源：'):].split()[0].lstrip('来源：')
    else:
        source='none'

    click=getClickCount(newurl)
    print(dt,title,newurl,source,click)


def getListPage(listPageUrl):   #一个分页的所有新闻
    res = requests.get(listPageUrl)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    for news in soup.select('li'):
        if len(news.select('.news-list-title')) > 0:
            # 获取新闻模块链接
            a = news.a.attrs['href']
            # 调用函数获取新闻正文
            getNewsDetail(a)


def getPage():
    # 获取新闻列表总页数
    res = requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen/')
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    n = int(soup.select('.a1')[0].text.rstrip('条')) // 10 + 1
    return n


firstPage='http://news.gzcc.cn/html/xiaoyuanxinwen/'
getListPage(firstPage)
#获取新闻列表总页数
n=getPage()
for i in range(n,n+1):
    pageurl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    getListPage(pageurl)

截图：

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。

 爬取的是起点小说网页一部小说目录的标题及相关信息。

#coding=utf-8
import requests
from bs4 import BeautifulSoup
from datetime import datetime
import re
import jieba
import codecs

def nextPage(newurl):
    newsId = re.search('//read.qidian.com/chapter/(.*)', newurl).group(1).split('/')[1]
    return newsId


def getListPage(listPageUrl):   #一页小说的信息
    res = requests.get(listPageUrl)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    config_dic={}

    # bookname=soup.select('.info.fl')[0].select('a')[0].text
    # author = soup.select('.info.fl')[0].select('a')[1].text
    # title = soup.select('.j_chapterName')[0].text
    # worknumber=soup.select('.j_chapterWordCut')[0].text
    # time=soup.select('.j_updateTime')[0].text
    config_dic['书名：']=soup.select('.info.fl')[0].select('a')[0].text
    config_dic['作者：']=soup.select('.info.fl')[0].select('a')[1].text
    config_dic['章节标题：']= soup.select('.j_chapterName')[0].text
    config_dic['章节字数：']=soup.select('.j_chapterWordCut')[0].text
    config_dic['时间：']=soup.select('.j_updateTime')[0].text
    config_dic['下一页地址：']= soup.select('.chapter-control.dib-wrap')[0].select('a')[2].attrs['href']
    return config_dic
    # print('书名' + ': ' + bookname)
    # print('章节名' + ' :' + title)
    # print('章节字数' + ': ' + worknumber)
    # print('作者' + ': ' + author)
    # print('发布时间' + ': ' + time)
    # b = soup.select('.chapter-control.dib-wrap')[0].select('a')[2].attrs['href']
    # nextPage(b)



all_test = []
firstPage='https://read.qidian.com/chapter/KrpRa8cmGVT-JlVC31J8Aw2/lGUghgIS8dn4p8iEw--PPw2/'
all_test.append(getListPage(firstPage))

url='https:'+all_test[0]['下一页地址：']
for i in range(1,20):
    # pageurl='https://read.qidian.com/chapter/KrpRa8cmGVT-JlVC31J8Aw2/{}'.format(c)
    new_test = getListPage(url)
    all_test.append(new_test)
    url = 'https:'+new_test['下一页地址：']


f = open('novel_text', 'a', encoding='utf-8')

for i in all_test:
  print(i)
  t=str(i)
  f.write(t)

f.close()

all_uni=open('novel_text','r',encoding='utf-8')
text=all_uni.read()
wordlist=list(jieba.lcut(text))  #分解
Words={}
for i in set(wordlist):
    Words[i]=wordlist.count(i)

delete_word={'chapter',' ','KrpRa8cmGVT','我们', '他', ',', '他的', '你的', '呀', '和', '.','，','。','：','“','”','的','啊','?','在','了',
           '{','}','ue60c','ue650',' ','、','也',':','！','\','儿','这','/','-', '
','(',')','那','有','上','便','和','只','要','小','罢','那里',
           '…','2016.11','？','read','把','JlVC31J8Aw2'}

for i in delete_word:        #删除出现的过渡词
    if i in Words:
        del Words[i]


sort_word = sorted(Words.items(), key= lambda d:d[1], reverse = True)  # 排序
for i in range(20):
    print(sort_word[i])

截图：

解析排序后内容：