数据结构化与保存

import requests
from bs4 import BeautifulSoup
from datetime import datetime
import pandas
import re
 
def getclick(url):
    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(clickurl).text.split(‘.‘)[-1].lstrip("html(‘").rstrip("‘);"))
    return click
 
def getdetail(url):
    resd=requests.get(url)
    resd.encoding=‘utf-8‘
    soupd=BeautifulSoup(resd.text,‘html.parser‘)
    news={}
    news[‘title‘]=soupd.select(‘.show-title‘)[0].text
    news[‘url‘]=url
    info=soupd.select(‘.show-info‘)[0].text
    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 = BeautifulSoup(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][‘href‘]))
    return(newsls)
 
ns=[]
gzccurl=‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘
ns.extend(onepage(gzccurl))
res=requests.get(gzccurl)
res.encoding=‘utf-8‘
soup = BeautifulSoup(res.text,‘html.parser‘)
 
pages=int(soup.select(‘.a1‘)[0].text.rstrip(‘条‘))
 
for i in range(2,3):
    listurl=‘http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html‘.format(i)
    ns.extend(onepage(listurl))
 
df=pandas.DataFrame(ns)
print(df.head())
df.to_excel(‘gzccnews.xlsx‘)