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 requestsfrom bs4 import BeautifulSoupimport refrom  datetime  import  *import pandasdef gethits(url_1):    li_id =re.search('_.*/(.*).html',url_1).groups(0)[0]    hits = requests.get('http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(li_id)).text.split('.')[-1].rstrip('''');''').lstrip(''''html(''')    return hitsdef getdetail(url):    res = requests.get(url)    res.encoding = 'utf-8'        soup = BeautifulSoup(res.text,'html.parser')     news = {}    news['url'] = url    if(soup.select('.show-title')):        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:%S')        news['source'] = re.search('来源：(.*)点击',info).group(1).strip()        news['content'] = soup.select('.show-content')[0].text.strip()        news['hits'] = gethits(url)    else:        pass    return newsdef onepage(url_page):    res = requests.get(url_page)    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 newslsurl_main="http://news.gzcc.cn/html/xiaoyuanxinwen/"res = requests.get(url_main)res.encoding = 'utf-8'soup = BeautifulSoup(res.text,'html.parser')newstotal = []newstotal.extend(onepage(url_main))pages = int(soup.select('.a1')[0].text.rstrip('条'))//10+1for i in range(2,pages+1):    url_page = "http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html".format(i)        newstotal.extend(onepage(url_page))df = pandas.DataFrame(newstotal)print(df.head())df.to_excel('news.xlsx')