import reimport requestsfrom bs4 import BeautifulSoupfrom datetime import datetimedef getClickCount(r): s = re.findall('\_(.*).html', r)[0].split('/')[-1] res = requests.get('http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(s)) return int(res.text.split('.html')[-1].lstrip("('").rstrip("');"))def getNewsDetail(newsUrl): #一篇新闻的全部内容 resd = requests.get(newsUrl) resd.encoding = 'utf-8' soupd = BeautifulSoup(resd.text, 'html.parser') #打开新闻详情并解析 news = {} 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') if info.find('来源:')>0: news['source']=info[info.find('来源:'):].split()[0].lstrip('来源:') else: news['source']='none' news['content'] = soupd.select('.show-content')[0].text.strip() news['click']=getClickCount(newsUrl) news['newsUrl'] = newsUrl return(news)def getListPage(pageUrl): #9. 取出一个新闻列表页的全部新闻 包装成函数def getListPage(pageUrl) res = requests.get(pageUrl) res.encoding = 'utf-8' soup = BeautifulSoup(res.text, 'html.parser') newslist = [] for news in soup.select('li'): if len(news.select('.news-list-title')) > 0: newsUrl = news.select('a')[0].attrs['href'] newslist.append(getNewsDetail(newsUrl)) return(newslist)def getPageN(): res = requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen/') res.encoding = 'utf-8' soup = BeautifulSoup(res.text, 'html.parser') pagenumber=int(soup.select('.a1')[0].text.rstrip('条')) page = pagenumber//10+1 return pagenewstotal = []firstPageUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'newstotal.extend(getListPage(firstPageUrl))n=getPageN()# f = open('gzccnews.txt','a',encoding='utf-8')for i in range(n,n+1): listPageUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) newstotal.extend(getListPage(listPageUrl))for news in newstotal: print(news)import pandasdf = pandas.DataFrame(newstotal)df.to_excel('gzccnews.xlsx')
# print(df.tail(3)) # print(df[2:5]) # print(df['title']) # print(df[(df['click']>2000)&(df['click']<5000)]) # sou = ['国际学院','学生工作处'] # print(df[df['source'].isin(sou)]) # print(df.index) # df[df['dt']>'2018-04-12 14:01:24'] # df.index # print(df[1:5]) # df1 = df.set_index('dt') # print(df1.index) # # print(df1['2018-04-12 17:27:50':'2018-04-04 09:35:00']) # print(df1['2018-04']) import sqlite3 with sqlite3.connect('gzccnewsdb.sqlite') as db: df.to_sql('gzccnews',con= db,if_exists='replace') with sqlite3.connect('gzccnewsdb.sqlite') as db: df2 = pandas.read_sql_query('SELECT * FROM gzccnews',con=db) print(df2) import pymysql from sqlalchemy import create_engine conn = create_engine('mysql+pymysql://root:@localhost:3306/gz?charset=utf8') pandas.io.sql.to_sql(df2,'news1',con=conn,if_exists='replace')
# f.close()