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 BeautifulSoupfrom datetime import datetimeimport reimport pandasimport sqlite3def 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))def getdetail(url): resd = requests.get(url) resd.encoding='ute-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:%S') news['source'] = re.search('来源：(.*)点击',info).group(1).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 = 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))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+1for 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('gzccmews.xlsx')with sqlite3.connect('gzccnewsdb.sqlite') as db: df.to_sql('gzccnewsdb',con=db)'''
