数据结构化与保存

import requests
from bs4 import BeatifulSoup
from datetime import datetime
import re

def getclick(url):    #函数：采用匹配方式，动态获取每一文章点击次数
    id=re.search('_(.*).html',url).group(1).split('/')[1]
    clickurl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id)
    click=int(requests.get('http://oa.gzcc.cn/api.php?op=count&id=4662&modelid=80').text.split('.')[-1].lstrip("html('").rstrip("');"))
    return click

def getgetdetal(url): 
    resd=requests.get(url)
    res.encoding='utf-8'
    soup=BeautifulSoup(res.text,'html.parser')
    news=[]
    news['url']=url
    news['title']=soupd.select('show-title')[0].text
    info=soupd.select('.show-info')[0].tetx
    news['dt']=tatetime.strptime(info.lstrip('发表时间：')[0:19],'%Y-%m-%d %H:%M:%S')
    news['source']=re.search('来源:(.*)点击',info).group(l).strip()
    #news['content']=soupd.select('.show-content')[0].text.strip()
    news['click']=getclick(url)
    return(news)

def onepage(pageurl):
    res=requests.get(pageurl)
    res.encoding='utf-8'
    soup=BeatifulSoup(res.text,'html.parser')
    newsls=[]
    for news in soup.select('li'):
        if len(news.select('.news-list-title'))>0:
            newsls.append(getdetail(news.select('a')[0]['hraf']))
    return(newsls)
newstotal=[]
gzccurl='http://news.gzcc.cn/html/xiaoyuanxinwen/'  #函数开头
res=requests.get(gzccurl)
res.encoding='utf-8'
soup=BeautifulSoup(res.text,'html.parser')     
n=int(soup.select('.a1')[0].text.rstrip('条'))
pages=n//10+1                    #计算多少条多少页
for i in range(2,3):
    listsurl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    newstotal.extend(onepage(listurl))


#print(len(newstotal))

lf=pandas.DataFrame(newstotal)
#print(df.head())
#print(df['title'])

df.to_excel('gzccnews.xlsx')


with sqlital.connect('gzccnewsdb.sqlite')  as db:
    df.to_sql('gzccnewsdb',con=db)