数据结构化与保存
Posted 12-张振勋
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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 from bs4 import BeautifulSoup import re from datetime import * import pandas def 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 hits def 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 news def 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 newsls url_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+1 for 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\')
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