本次作业的要求来源于: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
  • 运行代码:
import requests
def click(url):
    id=re.findall('(\d{1,5})',url)[-1]
    clickUrl="http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80".format(id)
    resClick=requests.get(clickUrl)
    newsClick=int(resClick.text.split('.html')[-1].lstrip("('").rstrip("');"))
    return newsClick
  • 运行截图:

 

  • 获取新闻发布时间及类型转换也整理成函数
  • 运行代码:
from datetime import datetime
def newsdt(showinfo):
    newsDate=showinfo.split()[0].split(':')[1]
    newsTime = showinfo.split()[1]
    newsDT=newsDate+' '+newsTime
    dt=datetime.strptime(newsDT,'%Y-%m-%d %H:%M:%S')
    return dt

 

1.从新闻url获取新闻详情: 字典,anews

  • 运行代码:
def anews(url):
    newsDetail={}
    res=requests.get(url)
    res.encoding='utf-8'
    soup=BeautifulSoup(res.text,'html.parser')
    newsDetail['newstitle']=soup.select('.show-title')[0].text
    showinfo = soup.select('.show-info')[0].text
    newsDetail['newsDt'] = newsdt(showinfo)
    newsDetail['newsClick'] =click(url)
    return newsDetail
  • 运行截图:

 

2.从列表页的url获取新闻url:列表append(字典) alist

  • 运行代码:
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']
            newsDesc=news.select('.news-list-description')[0].text
            newsDict=anews(newsUrl)
            newsDict['newsUrl']=newsUrl
            newsDict['description'] = newsDesc
            newsList.append(newsDict)
    return newsList
  • 运行截图:

 

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)

  • 运行代码:
listUrl = "http://news.gzcc.cn/html/xiaoyuanxinwen/"
    allnews = alist(listUrl)
    for i in range(21, 30):
        listUrl = "http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html".format(i)
        allnews.extend(alist(listUrl))
  • 运行截图:

 

4.设置合理的爬取间隔

import time

import random

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

  • 运行代码:
import time
import random
    for i in range(1, 5):
        time.sleep(random.random() * 3)  # 休眠随机数的3倍时间
    print(allnews)

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')

  • 运行代码:
import pandas
newsdf=pd.DataFrame(allnews)
    newsdf.to_csv(r'F:\zyx\news.csv')
  • 运行截图: