爬取全部的校园新闻
1.从新闻url获取新闻详情: 字典,anews
import requests from bs4 import BeautifulSoup from datetime import datetime import re def click(url): id=re.findall('(\d{1,5})',url)[-1] clickUrl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id) resClick=requests.get(clickUrl) newsClick=int(resClick.text.split('.html')[-1].lstrip("('").rstrip("');")) return newsClick def newsdt(showinfo): newsDate=showinfo.split()[0].split(':')[1] newsTime=showinfo.split()[1] newsDT=newsDate+' '+newsTime dt=datetime.strptime(newsDT,'%Y-%m-%d %H:%M:%S') return dt def anews(url): newsDetail={} res=requests.get(url) res.encoding="utf-8" soup=BeautifulSoup(res.text,"html.parser") newsDetail['nenewsTitle']=soup.select('.show-title')[0].text showinfo=soup.select('.show-info')[0].text newsDetail['newsDT']=newsdt(showinfo) newsDetail['newsClick']=click(newsUrl) return newsDetail newsUrl='http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0403/11147.html' anews(newsUrl) res=requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen/') res.encoding="utf-8" soup=BeautifulSoup(res.text,'html.parser') for news in soup.select('li'): if len(news.select('.news-list-title'))>0: newsUrl=news.select('a')[0]['href'] print(anews(newsUrl))
2.从列表页的url获取新闻url:列表append(字典) alist
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/' res=requests.get(listUrl) res.encoding="utf-8" soup=BeautifulSoup(res.text,'html.parser') for n in soup.select('li'): if n.select('.news-list-title'): print(n.select('a')[0]['href'])
3.生成所页列表页的url并获取全部新闻 :列表extend(列表) allnews
*每个同学爬学号尾数开始的10个列表页
def alist(url): res=requests.get(listUrl) 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]['href'] newsDesc=news.select('.news-list-description')[0].text newsDict=anews(newsUrl) newsDict['description']=newsDesc newsList.append(newsDict) return newsList listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/' alist(listUrl) allnews=[] for i in range(103,113): listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) allnews.extend(alist(listUrl)) len(allnews)
4.设置合理的爬取间隔
5.用pandas做简单的数据处理并保存
保存到csv或excel文件
newsdf.to_csv(r'C:\Users\Administrator\Desktop\hjy.csv')
保存到数据库
import sqlite3 with sqlite3.connect('news_hjy.sqlite') as db: newsdf.to_sql('news_hjy',db)
posted on 2019-04-08 17:57 kenda_yellow 阅读(265) 评论(0) 编辑 收藏 举报