爬取全部的校园新闻
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)




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