• 爬取校园新闻首页的新闻的详情,使用正则表达式,函数抽离


    1. 用requests库和BeautifulSoup库,爬取校园新闻首页新闻的标题、链接、正文、show-info。

    2. 分析info字符串,获取每篇新闻的发布时间,作者,来源,摄影等信息。

    import requests
    from bs4 import BeautifulSoup
    from datetime import datetime
    import re
    def get_soup(url):
        req = requests.get(url)
        req.encoding = 'utf-8'
        soup = BeautifulSoup(req.text, 'html.parser')
        return soup
    
    def getDownNum(urls):
        html_id = list()
        j = 0
        for i in urls:
            html_id.append(re.search('http://news.gzcc.cn/html/2018/xiaoyuanxinwen_(.*).html', i).group(1).split('/')[-1])
            down_url = 'http://oa.gzcc.cn/api.php?op=count&id=' + html_id[j] + '&modelid=80'
            reqd = requests.get(down_url)
            down_num.append(re.search("('#hits').html('(.*)');", reqd.text).group(1))
            j=j+1
        return down_num
    
    
    
    
    soup = get_soup('http://news.gzcc.cn/html/xiaoyuanxinwen/')
    li_list = soup.select('li')
    title = list()
    a = list()
    for new in li_list:
        if(len(new.select('.news-list-text'))>0):
            title.append(new.select('.news-list-text')[0].select('.news-list-title')[0].text)
            a.append(new.a.attrs['href'])
    info_list = list()
    con_list = list()
    for curl in a:
        con_soup = get_soup(curl)
        con_list.append(con_soup.select('#content')[0].text)
        info_list.append(con_soup.select('.show-info')[0].text.split("xa0xa0"))
    cs = list()
    for i in range(len(con_list)):
        cs.append(''.join(con_list[0]))
    
    down_num = list()
    down_num = getDownNum(a)
    
    for i in range(len(info_list)):
        print('标题:'+title[i])
        print('链接:'+a[i])
        for j in range(len(info_list[i])):
            if(len(info_list[i][j])>0 and info_list[i][j]!=' '):
                if(j!=len(info_list[i])-1):
                    print(info_list[i][j])
                else:
                    print(info_list[i][j].rstrip(''), down_num[i],'')
    
        print(cs[i])

    运行结果

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  • 原文地址:https://www.cnblogs.com/RE148/p/8717460.html
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