1.从新闻url获取新闻详情: 字典,anews

1 # -*- coding: utf-8 -*-
2 """
3 Spyder Editor
4
5 This is a temporary script file.
6 """
7 import requests
8 from bs4 import BeautifulSoup
9 from datetime import datetime
10 import re
11
12 def click(url):
13 id = re.findall('(\d{1,5})',url)[-1]
14 clickUrl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id)
15 resClick = requests.get(clickUrl)
16 newsClick = int(resClick.text.split('.html')[-1].lstrip("('").rstrip("');"))
17 return newsClick
18
19 def newsdt(showinfo):
20 newsDate = showinfo.split()[0].split(':')[1]
21 newsTime = showinfo.split()[1]
22 newDT = newsDate+' '+newsTime
23 dt = datetime.strptime(newDT,'%Y-%m-%d %H:%M:%S')
24 return dt
25
26 def anews(url):
27 newsDetail = {}
28 res = requests.get(url)
29 res.encoding = 'utf-8'
30 soup = BeautifulSoup(res.text,'html.parser')
31 newsDetail['nenewsTitle'] = soup.select('.show-title')[0].text
32 showinfo = soup.select('.show-info')[0].text
33 newsDetail['newsDT'] = newsdt(showinfo)
34 newsDetail['newsClick'] = click(newsUrl)
35 return newsDetail
36
37 newsUrl = 'http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html'
38 anews(newsUrl)
39
40 res=requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen')
41 res.encoding='utf-8'
42 soup = BeautifulSoup(res.text,'html.parser')
43
44 for news in soup.select('li'):
45 if len(news.select('.news-list-title'))>0:
46 newsUrl = news.select('a')[0]['href']
47 print(anews(newsUrl))
View Code
2.从列表页的url获取新闻url:列表append(字典) alist

1 listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
2 res = requests.get(listUrl)
3 res.encoding='utf-8'
4 soup = BeautifulSoup(res.text,'html.parser')
5 newsList=[]
6 for news in soup.select('li'):
7 if len(news.select('.news-list-title'))>0:
8 newsUrl=news.select('a')[0]['href']
9 newsDesc=news.select('.news-list-description')[0].text
10 newsDict=anews(newsUrl)
11 newsDict['description']=newsDesc
12 newsList.append(newsDict)
13 print(newsList)
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

1 def alist(url):
2 res=requests.get(listUrl)
3 res.encoding='utf-8'
4 soup = BeautifulSoup(res.text,'html.parser')
5 newsList=[]
6 for news in soup.select('li'):
7 if len(news.select('.news-list-title'))>0:
8 newsURL=news.select('a')[0]['href']
9 newsDesc=news.select('.news-list-description')[0].text
10 newsDict=anews(newsURL)
11 newsDict['description']=newsDesc
12 newsList.append(newsDict)
13 return newsList
14 listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
15 alist(listUrl)
16
17 allnews=[]
18 for i in range(78,88):
19 listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
20 allnews.extend(alist(listUrl))
21 len(allnews)
22 print(allnews)
4.设置合理的爬取间隔

1 allnews=[]
2 for i in range(78,88):
3 listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
4 allnews.extend(alist(listUrl))
5 len(allnews)
6
7 pd.Series(anews)
8 newsdf=pd.DataFrame(allnews)
9 for i in range(5):
10 print(i)
11 time.sleep(random.random()*3)
12 print(newsdf)
5.用pandas做简单的数据处理并保存
保存到csv或excel文件
1 newsdf.to_csv(r'F:\hhhh.csv')
保存到数据库
import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
newsdf.to_sql('gzccnewsdb',db)