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 requestsimport reimport pandasfrom bs4 import BeautifulSoupurl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'res = requests.get(url)res.encoding = 'utf-8'soup = BeautifulSoup(res.text, 'html.parser')def getclick(newurl):    id = re.search('_(.*).html', newurl).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 clickdef getdetail(listurl):    res = requests.get(listurl)    res.encoding = 'utf-8'    soup = BeautifulSoup(res.text, 'html.parser')    news={}    news['url']=url    news['title']=soup.select('.show-title')[0].text    info = soup.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['content']=soup.select('.show-content')[0].text.strip()    news['click']=getclick(listurl)    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)newstotal=[]for i in range(2,3):    listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/'    newstotal.extend(onepage(listurl))df =pandas.DataFrame(newstotal)df.to_excel('gzccnews.xlsx')#with aqlite3.connect('gzccnewsdb2.sqlite') as db:#df.to_sql('gzccnewdb2',con=db)