爬取全部的校园新闻

作业要求：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.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')

代码如下：

 1 import re
 2 from bs4 import BeautifulSoup
 3 from datetime import datetime
 4 import requests
 5 import pandas as pd
 6 import time
 7 import random
 8 
 9 """新闻点击次数"""
10 def newsClick(newsUrl):
11     newsId = re.findall('(d+)', newsUrl)[-1]
12     clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsId)
13     resClicks = requests.get(clickUrl).text
14     resClick = int(re.search("hits'[)].html[(]'(d*)'[)]", resClicks).groups(0)[0])
15     return resClick
16 
17 """新闻发布时间"""
18 def newsDateTime(showinfo):
19     newsDate = showinfo.split()[0].split(':')[1]
20     newsTime = showinfo.split()[1]
21     newsDateTime = newsDate + ' ' + newsTime
22     dateTime = datetime.strptime(newsDateTime, '%Y-%m-%d %H:%M:%S')  #类型转换
23     return dateTime
24 
25 """新闻字典"""
26 def newsDicts(newsUrl):
27     newsText = requests.get(newsUrl)
28     newsText.encoding = 'utf-8'
29     newsSoup = BeautifulSoup(newsText.text, 'html.parser')
30     newsDict = {}
31     newsDict['newsTitle'] = newsSoup.select('.show-title')[0].text
32     showinfo = newsSoup.select('.show-info')[0].text
33     newsDict['newsDateTime'] = newsDateTime(showinfo)
34     newsDict['newsClick'] = newsClick(newsUrl)
35     return newsDict
36 
37 """新闻列表"""
38 def newsList(newsUrl):
39     newsText = requests.get(newsUrl)
40     newsText.encoding = 'utf-8'
41     newsSoup = BeautifulSoup(newsText.text, 'html.parser')
42     newsList = []
43     for news in newsSoup.select('li'):
44         if len(news.select('.news-list-title')) > 0:
45             url = news.select('a')[0]['href']
46             newsDesc = news.select('.news-list-description')[0].text
47             newsDict = newsDicts(url)
48             newsDict['newsUrl'] = url
49             newsDict['description'] = newsDesc
50             newsList.append(newsDict)
51     return newsList
52 
53 """27-37页新闻列表"""
54 def allNews():
55     allnews = []
56     for i in range(27,38):
57         newsUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
58         allnews.extend(newsList(newsUrl))
59         time.sleep(random.random() * 3)   #爬取间隔
60     return allnews
61 
62 newsDF = pd.DataFrame(allNews())
63 newsDF.to_csv('gzccnews.csv')   #保存为csv文件

保存gzccnews.csv文件截图如下：