数据结构化与保存
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 from datetime import datetime import re import pandas import sqlite3 def 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='utf-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['countent']=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+1 for i in range(2,3): listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) newstotal.extend(onepage(listurl)) df = pandas.DataFrame(newstotal) #print(df.head()) df.to_excel('gzccnews.xlsx') with sqlite3.connect('gzccnewsdb.sqlite') as db: df.to_sql('gzccnewsdb8',con = db)