Python2.7爬虫+Fiddler 爬取快手APP的短视频

如果大家想想刷抖音粉丝，快手粉丝，抖音快手评论，请到卡眸抖音粉丝代刷网

https://www.kamou.cn

要爬取的页面：

 

要爬取的内容：

 

先研究下，

 

 

 

如图，每一个用户信息在一个li标签里面，靠css选择器就能很容易获取到，但是看源码却发现那些关键的数字有字体反爬。如下图：

 

然后看到这篇（点我试试）博客后，完成了这只小爬虫~

代码：

import requests
from pyquery import PyQuery as pq
from urllib.parse import urljoin
import json

def parsingChar(type,data):
    fontscn_h57yip2q = {
        '\\uabcf':'4',
        '\\uaced':'3',
        '\\uaedd':'8',
        '\\uaede':'0',
        '\\uafcd':'6',
        '\\ubdaa':'5',
        '\\ubdcd':'1',
        '\\ubfad':'9',
        '\\uccda':'2',
        '\\ucfbe':'7',
    }
    fontscn_3jqwe90k = {
        '\\uaacb':'4',
        '\\uabcd':'3',
        '\\uacdd':'0',
        '\\uaefb':'8',
        '\\uafbc':'6',
        '\\ubbca':'1',
        '\\ubdca':'5',
        '\\ubfee':'9',
        '\\uccac':'2',
        '\\ucfba':'7',
    }
    fontscn_yuh4hy4p = {
        '\\uaabd':'5',
        '\\uaadd':'0',
        '\\uacde':'9',
        '\\uadaa':'2',
        '\\uadac':'1',
        '\\uadcb':'7',
        '\\uaeed':'8',
        '\\ubebb':'3',
        '\\ucbdc':'6',
        '\\ucccf':'4',
    }
    fontscn_qw2f1m1o = {
        '\\uabcb':'4',
        '\\uaccd':'3',
        '\\uacda':'0',
        '\\uaeff':'8',
        '\\uafbb':'6',
        '\\ubdca':'1',
        '\\ubdcc':'5',
        '\\ubfef':'9',
        '\\uccaa':'2',
        '\\ucfba':'7',
    }
    fontscn_yx77i032 = {
        '\\uabce':'4',
        '\\uaccd':'6',
        '\\uaeda':'8',
        '\\uaefe':'0',
        '\\uafed':'3',
        '\\ubaaa':'5',
        '\\ubddd':'1',
        '\\ubfad':'2',
        '\\ubfae':'9',
        '\\uc44f':'7',
    }
    woff_dict = {'h57yip2q': fontscn_h57yip2q, '3jqwe90k': fontscn_3jqwe90k, 'yuh4hy4p': fontscn_yuh4hy4p,
                 'qw2f1m1o': fontscn_qw2f1m1o, 'yx77i032': fontscn_yx77i032}
    li = []
    new_data = (list(map(lambda x: x.encode('unicode_escape'), data)))
    #这里将data转为编码byte型的数据，如b'\\ubdca'
    for i in new_data:
        if len(str(i)) > 5:
            num = woff_dict[type][str(i)[3:-1]]
            #str(i)[3:-1]这里是将比如b'\\ubdca'转为字符串\ubdca，好去字典中匹配值
            li.append(num)
        else:
            li.append(str(i)[2:-1])
    res = ''.join(li)
    return res


def handling_detail(word,type):
    '''
    :param word: 含细节的字符串
    :param type: 当前页面字体类型
    :return: 将数字转换成正常的后返回
    '''
    try:
        words = word.split('  ')
        if 'w粉丝' in words[0]:
            fans = words[0].replace('w粉丝', '').strip()
            fans = parsingChar(type, fans)+'w粉丝'
        else:
            fans = words[0].replace('粉丝', '').strip()
            fans = parsingChar(type, fans)+'粉丝'
        #转换粉丝数为正常数字
        follows = words[1].strip().replace('关注','')
        follows = parsingChar(type,follows)
        # 转换关注数为正常数字
        works = words[2].strip().replace('作品', '')
        works = parsingChar(type,works)
        # 转换作品数为正常数字
        all = fans+follows+'关注'+works+'作品'
        return all
    except:
        print(word,'handling_detail error')


def judge(html):
    '''
    :param html: html源码
    :return: 当前页面字体类型
    '''
    for i in ['h57yip2q', '3jqwe90k','yuh4hy4p', 'qw2f1m1o', 'yx77i032']:
        if i in html:
            return i


def getList(key,page):
    '''
    :param key: 搜索的关键字
    :param page: 页数
    :return: 用户的一些细节，用户名，用户主页url，用户画像，用户签名，用户粉丝数等等...
    '''
    all = {}
    url = 'https://live.kuaishou.com/search/author?keyword='+key+'&page='+str(page)
    original_url = 'https://live.kuaishou.com'
    headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36'}
    r = requests.get(url=url,headers=headers)
    type = judge(r.text)#判断当前页面字体类型
    html = pq(r.text)
    lis = html('.search-detail ul .author-card').items()

    for li in lis:
        '''
        这里是用pyquery的css选择器对用户信息的获取
        '''
        name = li('.profile-card-user-info-intro').attr('title').strip()
        #用户名
        detail = li('.profile-card-user-info-counts').text().strip()
        detail = handling_detail(detail,type)#对有字体反爬地方处理
        #粉丝数作品数有反爬的部分
        sign = li('.profile-card-user-info-description.notlive').text().strip()
        #签名
        user_url = li('.profile-card-user-info a').attr('href').strip()
        user_url = urljoin(original_url,user_url)
        #主播首页url
        user_img = li('img').attr('src').strip()
        #用户画像url
        all[name] = {'user_url':user_url,'detail':detail,'sign':sign,'user_img':user_img}
    return all


if __name__ == '__main__':
    key = '技能'
    for i in range(1,11):
        with open('kuaishou.json','a',encoding='utf-8') as f:
            json.dump(getList(key,i), f, ensure_ascii=False, sort_keys=True, indent=4)
            #json文件保存获取的内容

 

 结果：