爬取全部的校园新闻

1.从新闻url获取新闻详情： 字典,anews

# 标题
title = newSoup.select('.show-title')[0].text
# 发布信息
newInfo = newSoup.select('.show-info')[0].text
# 发布时间
newDT = newsDateTime(newInfo)
# 作者
author = newInfo.split()[2].lstrip('作者：')
# 审核
examine = newInfo.split()[3].lstrip('审核：')
# 来源
source = newInfo.split()[4].lstrip('来源：')
# 获取点击次数的url
newClick = newsClick(url)
# 把获取到的新闻内容添加进字典中
newsDetail = {}
newsDetail['newsTitle'] = title
newsDetail['newsDaTe'] = newDT
newsDetail['newsAuthor'] = author
newsDetail['newsExamine'] = examine
newsDetail['newsSource'] = source
newsDetail['newsClick'] = newClick

2.从列表页的url获取新闻url：列表append(字典) alist

newList = []
li = newSoup.select('li')
for new in li:
if len(new.select('.news-list-text')) > 0:
newUrl = new.select('a')[0]['href']
# 获取新闻的概述信息
newDescription = new.select('.news-list-description')[0].text
newsDict = newsInfo(newUrl)
# 把新闻的概述信息添加进字典中
newsDict['newsDescription'] = newDescription
newList.append(newsDict)

3.生成所页列表页的url并获取全部新闻 ：列表extend(列表) allnews

*每个同学爬学号尾数开始的10个列表页

def alist(url):
    res=requests.get(listUrl)
    res.encoding='utf-8'
    soup = BeautifulSoup(res.text,'html.parser')
    newsList=[]
    for news in soup.select('li'):
        if len(news.select('.news-list-title'))>0:
            newsUrl=news.select('a')[0]['href']
            newsDesc=news.select('.news-list-description')[0].text
            newsDict=anews(newsUrl)
            newsDict['description']=newsDesc
            newsList.append(newsDict)
    return newsList
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
alist(listUrl)

allnews=[]
for i in range(95,100):
    listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    allnews.extend(alist(listUrl))
len(allnews)

4.设置合理的爬取间隔

import time

import random

time.sleep(random.random()*3)

5.用pandas做简单的数据处理并保存

保存到csv或excel文件 

newsdf.to_csv(r'F:\duym\爬虫\gzccnews.csv')

保存到数据库

import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
    newsdf.to_sql('gzccnewsdb',db)

 

打开生成的news.csv文件，我们可以看到里面的内容如下图所示：