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：
