爬取全部的校园新闻
本次作业的要求来自于:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE1/homework/3002
0.从新闻url获取点击次数,并整理成函数
- newsUrl
- newsId(re.search())
- clickUrl(str.format())
- requests.get(clickUrl)
- re.search()/.split()
- str.lstrip(),str.rstrip()
- int
- 整理成函数
- 获取新闻发布时间及类型转换也整理成函数
1.熟练运用re.search(),match(),findall()
2.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+)',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 def alist(listurl): 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['newsurl'] = newsurl newsdict['descricption'] = newsdesc newslist.append(newsdict) return newslist listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/' alist(listurl)
3.从列表页的url获取新闻url:列表append(字典) alist
4.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
res=requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen/') res.encoding='utf-8' soup=BeautifulSoup(res.text,'html.parser') soup.select('#pages')[0].text int(re.search('..(\d+).下',soup.select('#pages')[0].text).groups(1)[0]) listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/' allnews=alist(listurl) for i in range(5,15): listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) allnews.extend(alist(listurl))
截图:
爬取一页;
爬取多页;
5.设置合理的爬取间隔
import time
import random
time.sleep(random.random()*3)
import time import random for i in range(1,3): print(i) time.sleep(random.random()*3)#休眠随机数的3倍时间 print(tenNews)
6.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'E:\gzcc.csv')
import pandas as pd newsdf = pd.DataFrame(allnews) newsdf.to_csv(r'E:\gzcc.csv')
截图:图为(5-15页内容)