爬取全部的校园新闻

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

# 获取点击次数
def click(url):
    id=re.search('/(\d+).html',url).groups(0)[0]
    clickurl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id)
    a=requests.get(clickurl).text
    click_num=re.search("hits'[)].html[(]'(\d+)'[)];",a).groups(0)[0]
    return click_num

# 获取时间
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

  # 字典
def anews(url):
    newsDatail ={}
    r =requests.get(url)
    r.encoding = 'utf8'
    soup = BeautifulSoup(r.text, 'html.parser')
    newsDatail['newsTitle'] = soup.select('.show-title')[0].text
    showinfo = soup.select('.show-info')[0].text
    newsDatail['newsDT']=newsdt(showinfo)
    newsDatail['newsClick']=click(url)
    return newsDatail

　　

2.从列表页的url获取新闻url：列表append(字典) alist

def alist(listUrl):
    res = requests.get(listUrl)
    res.encoding = 'utf8'
    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

　　

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

url ='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'
for i in range(6,17):
    allList.extend(alist(url.format(i)))
    time.sleep(random.random()*3)
    print(alist(url.format(i)))

　

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')

f1 = pandas.DataFrame(allList)
f1.to_csv(r'E:\news.csv',encoding='utf-8')