【大数据】爬取全部的校园新闻

1.从新闻url获取新闻详情： 字典,anews

#点击次数
def click(url):
    id = re.findall('(\d{1,5})', url)[-1]
    clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id)
    resClick = requests.get(clickUrl)
    newsClick = resClick.text.split('.html')[-1].lstrip("('").rstrip("');")
    return newsClick

#发布时间
def newsdt(showinfo):
    newsDate = showinfo.split()[0].split(':')[1]
    newsTime = showinfo.split()[1]
    newsDT = newsDate + ' ' + newsTime
    dt = datetime.strptime(newsDT, '%Y-%m-%d %H:%M:%S')
    return dt

def anews(url):
    newsDetail = {}
    res = requests.get(url)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text,'html.parser')
    newsDetail['newsTitle'] = soup.select('.show-title')[0].text
    showinfo = soup.select('.show-info')[0].text
    newsDetail['newsDT'] = newsdt(showinfo)
    newsDetail['newsClick'] = click(newsUrl)
    return newsDetail
newsUrl = 'http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html'
print(anews(newsUrl))

 

2.从列表页的url获取新闻url：列表append(字典) alist

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)

 

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

allnews=[]
for i in range(102,112):
    listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    allnews.extend(alist(listUrl))
len(allnews)

 

*每个同学爬学号尾数开始的10个列表页

4.设置合理的爬取间隔

import time

import random

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

import time
import random
#time.sleep(random.random()*3)
for i in range(5):
    print(i)
    time.sleep(random.random()*3)
print(allnews)

 

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)

 

import pandas as pd
newsdf = pd.DataFrame(allnews)
newsdf.to_csv(r'news.csv',encoding = 'utf-8')


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