爬取全部的校园新闻

作业来源：https://edu.cnblogs.com/campus/gzcc/GZCC-16SE1/homework/3002

 

1 import re
2 from datetime import datetime
3 import requests
4 import bs4
5 from bs4 import BeautifulSoup

 

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

点击次数函数：

1 def click(newsurl):
2     number = re.search('/(\d+).html' , newsurl).groups(0)[0]
3     clickurl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(number)
4     cilckRes = requests.get(clickurl)
5     cilckTimes = int(cilckRes.text.split('.html')[-1].split("'")[1])
6     return cilckTimes

发布时间函数：

1 def newsdt(soupn):
2     times = soupn.split()[0].split(':')[1]
3     times = times +' '+ soupn.split()[1]
4     times = times.replace('-', ' ').replace(':', ' ').lower().split()
5     dt = datetime(int(times[0]),int(times[1]),int(times[2]),int(times[3]),int(times[4]),int(times[5]))
6     return dt

 

1.从新闻url获取新闻详情： 字典,anews

 1 def anews(url,title):
 2     newsDetail = {}
 3     res = requests.get(url)
 4     res.encoding = 'utf-8'
 5     soup = BeautifulSoup(res.text,'html.parser')
 6     newsDetail['newsTitle'] = soup.select('.show-title')[0].text
 7     showinfo = soup.select('.show-info')[0].text
 8     newsDetail['newsDT'] = newsdt(showinfo)
 9     newsDetail['newsClick'] = click(url)
10     newsDetail['newsUrl'] = url
11     newsDetail['description'] = title
12     return newsDetail

 

2.从列表页的url获取新闻url：列表append(字典) alist

urls = []
titles = []
for i in range(8, 17) :
    url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    res = requests.get(url)
    res.encoding = 'utf-8'
    urls += re.findall('<a href="(.*)">\r\n',res.text)
    titles += re.findall('<div class="news-list-description">(.*)</div>',res.text)
titles

 

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 newsList = []
2 for i in range(0,len(urls)):
3     newsList.append(anews(urls[i],titles[i]))
4 newsList

 

4.设置合理的爬取间隔

import time

import random

time.sleep(random.random()*3)

 1 import time
 2 import random
 3 
 4 urls = []
 5 titles = []
 6 for i in range(8, 17) :
 7     url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
 8     res = requests.get(url)
 9     res.encoding = 'utf-8'
10     urls += re.findall('<a href="(.*)">\r\n',res.text)
11     titles += re.findall('<div class="news-list-description">(.*)</div>',res.text)
12     time.sleep(random.random()*3)

 

1 newsList = []
2 for i in range(0,len(urls)):
3     newsList.append(anews(urls[i],titles[i]))
4     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')

1 import pandas as pd
2 newsdf = pd.DataFrame(newsList)
3 newsdf.to_csv(r'C:\Users\Administrator\Desktop\gzccnews.csv')

posted on 2019-04-12 17:44  浅锘晗  阅读(118)  评论(0)  编辑  收藏  举报