改作业要求来源于:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE2/homework/2941
一、要求:
1.从新闻url获取新闻详情: 字典,anews
2.从列表页的url获取新闻url:列表append(字典) alist
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
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)
二、代码及效果图
1、从新闻url获取新闻详情: 字典,anews
def new(url):
newDict={}
res = requests.get(url)
res.encoding = ('utf-8')
soup = BeautifulSoup(res.text, 'html.parser')
title = soup.select('.show-title')[0].text.split()
author = soup.select('.show-info')[0].text.split()[2]
auditor = soup.select('.show-info')[0].text.split()[3]
newDict["title"]=title
newDict["author"]=author
newDict["auditor"]=auditor
# 获取点击次数
clickurl = 'http://oa.gzcc.cn/api.php?op=count&id=11029&modelid=80'
res2 = requests.get(clickurl)
click = res2.text.split('.html')[-1].lstrip("('").rstrip("');")
newDict["click"]=click
# 获取时间
newsdate = soup.select('.show-info')[0].text.split()[0].split(':')[1]
newstime = soup.select('.show-info')[0].text.split()[1]
time = newsdate + ' ' + newstime
time = datetime.strptime(time, '%Y-%m-%d %H:%M:%S')
newDict["time"]=time
p = print(title, '\n', author, '\n', auditor, '\n', time, '\n', "点击:", click)
return newDict
效果图:

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']
newsData=new(newsUrl)
newsList.append(newsData)
return newsList
listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
print(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
allnews=[]
for i in range(87,97):
listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
allnews.extend(alist(listUrl))
print(len(allnews))
4、设置合理的爬取间隔
for j in range(5):
time.sleep(random.random()*3)
5、用pandas做简单的数据处理并保存
newsdf=pd.DataFrame(allnews)
newsdf.to_csv('new.csv')
6、保存到数据库
import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
newsdf.to_sql('gzccnewsdb',db)