数据结构化与保存

1.结构化：

• 单条新闻的详情字典：news
• 一个列表页所有单条新闻汇总列表：newsls.append(news)
• 所有列表页的所有新闻汇总列表：newstotal.extend(newsls)

2.转换成pandas的数据结构DataFrame

3.从DataFrame保存到excel

4.从DataFrame保存到sqlite3数据库

import requests
import re
from bs4 import BeautifulSoup
from datetime import datetime
import pandas
import sqlite3
def getclick(url):
    m=re.search(r'_(.*).html',url)
    newsid=m.group(1)[5:]
    clickurl=('http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80').format(newsid)
    resc=requests.get(clickurl).text
    r=re.search(r"hits(.*)",resc).group(1)
    click=r.lstrip("').html('").rstrip("');")
    return(int(click))
#print(getclick('http://news.gzcc.cn/html/2017/xiaoyuanxinwen_1018/8347.html'))

def getdetail(url):
    resd=requests.get(url)
    resd.encoding='utf-8'
    soupd=BeautifulSoup(resd.text,'html.parser')
    news={}
    news['url']=url
    news['title']=soupd.select('.show-title')[0].text
    info=soupd.select('.show-info')[0].text
    #news['dt']=datetime.strptime(info.lstrip('发布时间:')[0,19],'%Y-%m-%d %H:%M:')
    news['source']= re.search('来源：(.*)点击',info).group(1).strip()
    news['click']=getclick(url)
    return(news)
#print(getdetail('http://news.gzcc.cn/html/2017/xiaoyuanxinwen_1018/8347.html'))

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)
#print(onepage('http://news.gzcc.cn/html/xiaoyuanxinwen/'))
newstotal=[]
gzccurl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
newstotal.extend(onepage(gzccurl))
#print(newstotal)

res=requests.get(gzccurl)
res.encoding='utf-8'
soup=BeautifulSoup(res.text,'html.parser')
pages=int(soup.select('.a1')[0].text.rstrip('条'))//10+1

for i in range(2,3):
    listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    newstotal.extend(onepage(listurl))
#print(len(newstotal))

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

df.to_excel('gzccnews.xlsx')
with sqlite3.connect('gzccnewsdb1.sqlite') as db:
    df.to_sql('gzccnewsdb1',con=db)

        

实验结果如下图所示：