这个作业的要求来自于:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE1/homework/3002
1.从新闻url获取新闻详情: 字典,anews
#获取一篇新闻的全部信息 import re import requests from bs4 import BeautifulSoup from datetime import datetime #获取点击次数 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 #发布时间:转换成datetime类型 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#标题 showinfo = soup.select('.show-info')[0].text newsDetail['newsDT'] = newsdt(showinfo) newsDetail['newsClick']=click(newsUrl) return newsDetail newsUrl='http://news.gzcc.cn/html/2005/xiaoyuanxinwen_0710/4.html' anews(newsUrl)
#做成字典 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
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/{}.html'.format(i) alist(listUrl)
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
allnews =[]
for i in range(80,89): listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) allnews.extend(alist(listUrl)) import pandas as pd newsdf = pd.DataFrame(allnews) newsdf
4.设置合理的爬取间隔
import time
import random
time.sleep(random.random()*3)
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'F:duym爬虫gzccnews.csv')
保存到数据库
import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
newsdf.to_sql('gzccnewsdb',db)