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获取全部校园新闻

时间:2018-04-11 22:18:46      阅读:200      评论:0      收藏:0      [点我收藏+]

标签:cut   show   rdd   sel   inf   新闻列表   ndt   gb2312   lis   

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}\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 = 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}\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())//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}\s\d{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}\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):
    # 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}\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/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)

 

获取全部校园新闻

标签:cut   show   rdd   sel   inf   新闻列表   ndt   gb2312   lis   

原文地址:https://www.cnblogs.com/dfq621/p/8799026.html

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