自动登陆抽屉并点赞多页（3）

逃离我推掉我的手 2023-10-09 11:01 46阅读 0赞

先获取整个页面

import requests
    
    response_index = requests.get(
        url='https://dig.chouti.com/',
        headers={
            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36'
        }
    )
    
    print(response_index.text)

print输出效果如下：

![1353628-20180623005604235-2049558416.png][]

初步分析抽屉热搜标题页面，可以看出所有标题位于id为content-list的div下面

![1353628-20180623005102278-10591120.png][]

我们先解析出所有li标签的位置

soup = BeautifulSoup(response_index.text, 'html.parser')
    div = soup.find(attrs={
        'id': 'content-list'})

然后再找出所有的li标签

items = div.find_all(attrs={
        'class': 'item'})

再分析标题所在的位置

![1353628-20180623010922634-1333441400.png][]

打印出每个标题的id

for item in items:
        tag = (item.find(attrs={'class': 'part2'}))
        nid = tag.get('share-linkid')
        print(nid)

此时，print出所有标题的id

![1353628-20180623012009341-960411931.png][]

然后对上一篇文章的单个点赞进行for循环就可以了，完整代码如下：

import requests
    from bs4 import BeautifulSoup
    
    # 先访问抽屉最热帮，获取cookie（未授权的）
    r1 = requests.get(
        url='https://dig.chouti.com/',
        headers={
            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36'
        }
    )
    r1_cookie_dict = r1.cookies.get_dict()
    
    # 发送用户名和密码认证 + cookie（未授权）
    # 注意：防爬虫策略
    response_login = requests.post(
        url='https://dig.chouti.com/login',
        data={
            'phone': '8615921302790',
            'password': 'a12',
            'oneMonth': '1'
        },
        headers={
            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36'
        },
        cookies=r1_cookie_dict
    )
    
    
    response_index = requests.get(
        url='https://dig.chouti.com/',
        headers={
            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36'
        }
    )
    
    
    soup = BeautifulSoup(response_index.text, 'html.parser')
    div = soup.find(attrs={'id': 'content-list'})
    items = div.find_all(attrs={'class': 'item'})
    for item in items:
        tag = (item.find(attrs={'class': 'part2'}))
        nid = tag.get('share-linkid')
        print(nid)
    
    
        # 根据每个新闻id进行点赞
        r1 = requests.post(
            url='https://dig.chouti.com/link/vote?linksId=%s' % nid,
            headers={
                'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36'
            },
            cookies=r1_cookie_dict
        )
        print(r1.text)

登录上抽屉，查看页面，可以发现已经自动完成单页点赞了

![1353628-20180623012834785-99940758.png][]

咱们再来看下翻页。

![1353628-20180623013008651-1672381693.png][]

![1353628-20180623013036976-1536150235.png][]

发现了么？一般网站都有这种显眼的规律，而我们再次返回第一页时，发现网址变为https://dig.chouti.com/all/hot/recent/1，所以我们请求主页可以改为它

for page_num in range(1,3):     # 对第1到第3页进行点赞
        response_index = requests.get(
            url='https://dig.chouti.com/all/hot/recent/%s' % page_num,
            headers={
                'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36'
            }
        )
    
    
        soup = BeautifulSoup(response_index.text, 'html.parser')
        div = soup.find(attrs={'id': 'content-list'})
        items = div.find_all(attrs={'class': 'item'})
        for item in items:
            tag = (item.find(attrs={'class': 'part2'}))
            nid = tag.get('share-linkid')
            print(nid)
    
    
            # 根据每个新闻id进行点赞
            r1 = requests.post(
                url='https://dig.chouti.com/link/vote?linksId=%s' % nid,
                headers={
                    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36'
                },
                cookies=r1_cookie_dict
            )
            print(r1.text)

效果如下

![1353628-20180623013822092-1456432746.png][]

这个代码有很多可以改善的地方，这里不多讲述。

转载于:https://www.cnblogs.com/Black-rainbow/p/9216164.html

[1353628-20180623005604235-2049558416.png]: https://images2018.cnblogs.com/blog/1353628/201806/1353628-20180623005604235-2049558416.png
[1353628-20180623005102278-10591120.png]: https://images2018.cnblogs.com/blog/1353628/201806/1353628-20180623005102278-10591120.png
[1353628-20180623010922634-1333441400.png]: https://images2018.cnblogs.com/blog/1353628/201806/1353628-20180623010922634-1333441400.png
[1353628-20180623012009341-960411931.png]: https://images2018.cnblogs.com/blog/1353628/201806/1353628-20180623012009341-960411931.png
[1353628-20180623012834785-99940758.png]: https://images2018.cnblogs.com/blog/1353628/201806/1353628-20180623012834785-99940758.png
[1353628-20180623013008651-1672381693.png]: https://images2018.cnblogs.com/blog/1353628/201806/1353628-20180623013008651-1672381693.png
[1353628-20180623013036976-1536150235.png]: https://images2018.cnblogs.com/blog/1353628/201806/1353628-20180623013036976-1536150235.png
[1353628-20180623013822092-1456432746.png]: https://images2018.cnblogs.com/blog/1353628/201806/1353628-20180623013822092-1456432746.png