Java + golang 爬取B站up主粉丝数

…衆ロ難τιáo~ 提交于 2020-01-01 18:52:36

自从学习了爬虫,就想在B站爬取点什么数据,最近看到一些个up主涨粉很快,于是对up主的粉丝数量产生了好奇,所以就有了标题~

首先,我天真的以为通过up主个人空间的地址就能爬到

https://space.bilibili.com/137952

但事与愿违,给这个地址发送请求返回来的并不是我们想要的页面数据,而是一个类似于要求用户更换浏览器的错误页面

我们可以使用postman来模拟发送这个请求

响应的页面就是这个

<!DOCTYPE html>
<html>
    <head>
        <meta name=spm_prefix content=333.999>
        <meta charset=UTF-8>
        <meta http-equiv=X-UA-Compatible content="IE=edge,chrome=1">
        <meta name=renderer content=webkit|ie-comp|ie-stand>
        <link rel=stylesheet type=text/css href=//at.alicdn.com/t/font_438759_ivzgkauwm755qaor.css>
        <script type=text/javascript>var ua = window.navigator.userAgent
    var agents = ["Android","iPhone","SymbianOS","Windows Phone","iPod"]
    var pathname = /\d+/.exec(window.location.pathname)
    var getCookie = function(sKey) {
      return decodeURIComponent(
        document.cookie.replace(
          new RegExp('(?:(?:^|.*;)\\s*' +
            encodeURIComponent(sKey).replace(/[\-\.\+\*]/g, '\\$&') +
            '\\s*\\=\\s*([^;]*).*$)|^.*$'),
          '$1'
        )
      ) || null
    }

    var DedeUserID = getCookie('DedeUserID')
    var mid = pathname ? +pathname[0] : DedeUserID === null ? 0 : +DedeUserID
    if (mid < 1) {
      window.location.href = 'https://passport.bilibili.com/login?gourl=https://space.bilibili.com'
    } else {
      window._bili_space_mid = mid
      window._bili_space_mymid = DedeUserID === null ? 0 : +DedeUserID
      var prefix = /^\/v/.test(pathname) ? '/v' : ''
      window.history.replaceState({}, '', prefix + '/' + mid + '/' + (pathname ? window.location.hash : '#/'))

      for (var i = 0; i < agents.length; i++) {
        if (ua.indexOf(agents[i]) > -1) {
          window.location.href = 'https://m.bilibili.com/space/' + mid
          break
        }
      }
    }
        </script>
        <link href=//s1.hdslb.com/bfs/static/jinkela/space/css/space.25.bbaa2f1b5482f89caf23662936077cf2ae130dd9.css rel=stylesheet>
        <link href=//s1.hdslb.com/bfs/static/jinkela/space/css/space.26.bbaa2f1b5482f89caf23662936077cf2ae130dd9.css rel=stylesheet>
    </head>
    <body>
        <div class="z-top-container has-top-search"></div>
        <!--[if lt IE 9]>
        <div id="browser-version-tip">
            <div class="wrapper">
      抱歉,您正在使用不支持的浏览器访问个人空间。推荐您
                <a href="//www.google.cn/chrome/browser/desktop/index.html">安装 Chrome 浏览器</a>以获得更好的体验 ヾ(o◕∀◕)ノ
            </div>
        </div>
        <![endif]-->
        <div id=space-app></div>
        <script type=text/javascript>//日志上报
  window.spaceReport = {}
  window.reportConfig = {
    sample: 1,
    scrollTracker: true,
    msgObjects: 'spaceReport'
  }
  var reportScript = document.createElement('script')
  reportScript.src = '//s1.hdslb.com/bfs/seed/log/report/log-reporter.js'
  document.getElementsByTagName('body')[0].appendChild(reportScript)
  reportScript.onerror = function() {
    console.warn('log-reporter.js加载失败,放弃上报')
    var noop = function() {}
    window.reportObserver = {
      sendPV: noop,
      forceCommit: noop
    }
  }</script>
        <script src=//static.hdslb.com/js/jquery.min.js></script>
        <script src=//s1.hdslb.com/bfs/seed/jinkela/header/header.js></script>
        <script type=text/javascript src=//s1.hdslb.com/bfs/static/jinkela/space/manifest.bbaa2f1b5482f89caf23662936077cf2ae130dd9.js></script>
        <script type=text/javascript src=//s1.hdslb.com/bfs/static/jinkela/space/vendor.bbaa2f1b5482f89caf23662936077cf2ae130dd9.js></script>
        <script type=text/javascript src=//s1.hdslb.com/bfs/static/jinkela/space/space.bbaa2f1b5482f89caf23662936077cf2ae130dd9.js></script>
    </body>
</html>

 

这是怎么回事呢?

让我们来换个思路吧,随便打开一个up主的专栏,按下F12,可以看到发送了这么些请求

其中的这个请求便是我们所需要的

https://api.bilibili.com/x/web-interface/card?mid=1393013&jsonp=jsonp&article=true

 

让我们再用postman来测试一下

 

由图可见,返回的json串就是我们想要的数据

 

接下来,我们就用Java的爬虫框架WebMagic来编写爬虫程序,爬取1~1000的用户信息(粉丝数 >= 10000)

package com.tangzhe.spider.webmagic;

import com.alibaba.fastjson.JSONObject;
import com.mongodb.*;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.tangzhe.spider.webmagic.entity.UpMaster;
import us.codecraft.webmagic.Page;
import us.codecraft.webmagic.Site;
import us.codecraft.webmagic.Spider;
import us.codecraft.webmagic.processor.PageProcessor;
import us.codecraft.webmagic.selector.Json;

import java.util.ArrayList;
import java.util.List;

/**
 * Created by 唐哲
 * 2018-06-21 17:36
 * 爬取b站粉丝数
 */
public class BilibiliPageProcess implements PageProcessor {

    private static MongoCollection<DBObject> collection = null;

    static {
        MongoClientOptions options = MongoClientOptions.builder().connectTimeout(60000).build();

        MongoClient client = new MongoClient(new ServerAddress("localhost", 27017), options);

        MongoDatabase db = client.getDatabase("bilibili");

        collection = db.getCollection("up_master", DBObject.class);
    }

    private Site site = Site.me()
            .setRetrySleepTime(3);
            //.addHeader("Cookie", "sid=73z7tai9; fts=1499404833; pgv_pvi=4286189568; LIVE_BUVID=038be0e7dbefae118807a05ce6758c31; LIVE_BUVID__ckMd5=35b7fa0ba25cd9c6; rpdid=iwpsxqxxqxdopllxpxipw; buvid3=6ECE81DC-0F17-4805-A8D8-93AAA590623537243infoc; biliMzIsnew=1; biliMzTs=0; UM_distinctid=160c4c3cad640-0317802b275f19-5a442916-144000-160c4c3cad724e; im_notify_type_1393013=0; _cnt_dyn=undefined; _cnt_pm=0; _cnt_notify=0; uTZ=-480; CURRENT_QUALITY=64; im_local_unread_1393013=0; im_seqno_1393013=37; finger=edc6ecda; DedeUserID=1393013; DedeUserID__ckMd5=afb19007fffe33b0; SESSDATA=0ea7d6d3%2C1531986297%2C72337142; bili_jct=1814a4be6409416a0cc9f606e5494a09; _dfcaptcha=bebbef520c7c46f8cb0a877c33c677e1; bp_t_offset_1393013=132005944396809066")
            //.addHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36");

    @Override
    public Site getSite() {
        return this.site;
    }

    @Override
    public void process(Page page) {
        Json result = page.getJson();
        JSONObject jsonObject = JSONObject.parseObject(result.toString());
        JSONObject data = jsonObject.getJSONObject("data");
        JSONObject card = data.getJSONObject("card");
        String mid = card.getString("mid"); // mid
        String name = card.getString("name"); // name
        String face = card.getString("face"); // 头像
        String fans = card.getString("fans"); // 粉丝数
        if (Long.parseLong(fans) <= 10000) {
            return;
        }
        String attention = card.getString("attention"); // 关注数
        String sign = card.getString("sign"); // 签名
        JSONObject levelInfo = card.getJSONObject("level_info");
        String level = levelInfo.getString("current_level"); // 会员等级

        BasicDBObject document = new BasicDBObject();
        document.append("mid", Long.parseLong(mid))
                .append("name", name)
                .append("face", face)
                .append("fans", Long.parseLong(fans))
                .append("attention", Long.parseLong(attention))
                .append("sign", sign)
                .append("level", Integer.parseInt(level));
        collection.insertOne(document);
    }

    public static void main(String[] args) {
        List<String> urls = new ArrayList<>();
        for (int i = 1; i <= 1000; i++) {
            urls.add("https://api.bilibili.com/x/web-interface/card?mid=" + i);
        }
        Spider.create(new BilibiliPageProcess()).addRequest().addUrl(urls.toArray(new String[urls.size()])).thread(10).run();
    }

}

爬取的数据存储到mongodb中,打开mongodb查看存下来的数据:

uid在1~1000以内粉丝数在10000以上包括10000的up主就全部存储到数据库中了

 

我们可以用spingboot写一个web应用,通过页面和接口更好地查看这些数据

pom文件:

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.tangzhe</groupId>
    <artifactId>spider-demo</artifactId>
    <version>1.0</version>
    <packaging>jar</packaging>
    <name>spider-demo</name>
    <description>this is my spider demo</description>

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>1.5.10.RELEASE</version>
    </parent>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
        <java.version>1.8</java.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <!-- webmagic -->
        <dependency>
            <groupId>us.codecraft</groupId>
            <artifactId>webmagic-core</artifactId>
            <version>0.6.1</version>
        </dependency>
        <dependency>
            <groupId>us.codecraft</groupId>
            <artifactId>webmagic-extension</artifactId>
            <version>0.6.1</version>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <version>1.16.12</version>
        </dependency>

        <dependency>
            <groupId>commons-logging</groupId>
            <artifactId>commons-logging</artifactId>
            <version>1.2</version>
        </dependency>

        <dependency>
            <groupId>net.sourceforge.htmlunit</groupId>
            <artifactId>htmlunit</artifactId>
            <version>2.23</version>
        </dependency>

        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-lang3</artifactId>
            <version>3.7</version>
        </dependency>

        <dependency>
            <groupId>commons-io</groupId>
            <artifactId>commons-io</artifactId>
            <version>2.6</version>
        </dependency>

        <dependency>
            <groupId>org.seleniumhq.selenium</groupId>
            <artifactId>selenium-java</artifactId>
            <version>2.3.0</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-thymeleaf</artifactId>
        </dependency>

        <dependency>
            <groupId>org.jsoup</groupId>
            <artifactId>jsoup</artifactId>
            <version>1.11.3</version>
        </dependency>

        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.47</version>
        </dependency>

        <!-- mongodb -->
        <dependency>
            <groupId>org.mongodb</groupId>
            <artifactId>mongo-java-driver</artifactId>
            <version>3.3.0</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-mongodb</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-freemarker</artifactId>
        </dependency>     
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>
</project>

配置文件:

server:
  port: 8888

spring:
  application:
    name: spider-demo
  profiles:
    active: dev
  http:
    encoding:
      force: true
      charset: UTF-8
      enabled: true
  thymeleaf:
      encoding: UTF-8
      cache: false
      mode: HTML5
mongo:
  host: localhost
  port: 27017
  timeout: 60000
  db: test

spring: 
  freemarker:
    allow-request-override: false
    cache: true
    check-template-location: true
    charset: UTF-8
    content-type: text/html
    expose-request-attributes: false
    expose-session-attributes: false
    expose-spring-macro-helpers: false

mongodb配置类:

package com.tangzhe.spider.webmagic.config;

import com.mongodb.MongoClient;
import com.mongodb.MongoClientOptions;
import com.mongodb.ServerAddress;
import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.SimpleMongoDbFactory;
import org.springframework.data.mongodb.core.convert.DefaultMongoTypeMapper;
import org.springframework.data.mongodb.core.convert.MappingMongoConverter;
import org.springframework.data.mongodb.core.mapping.MongoMappingContext;
import org.springframework.data.mongodb.gridfs.GridFsTemplate;

/**
 * MongoDB配置
 */
@Configuration
@ConfigurationProperties(prefix = "mongo")
@Data
public class MongoDBConfiguration {

    //mongodb服务地址
    private String host;

    //mongodb服务端口号
    private Integer port;

    //连接超时
    private Integer timeout;

    //mongodb数据库名
    private String db;

    /**
     * 配置MongoDB模板
     */
    @Bean
    public MongoTemplate mongoTemplate(SimpleMongoDbFactory mongoDbFactory,
                                       MappingMongoConverter mappingMongoConverter) {
        return new MongoTemplate(mongoDbFactory, mappingMongoConverter);
    }

    /**
     * 配置自增ID监听器
     */
//    @Bean
//    public SaveMongoEventListener saveMongoEventListener() {
//        return new SaveMongoEventListener();
//    }

    /**
     * 配置GridFs模板,实现文件上传下载
     */
    @Bean
    public GridFsTemplate gridFsTemplate(SimpleMongoDbFactory mongoDbFactory,
                                         MappingMongoConverter mappingMongoConverter) {
        return new GridFsTemplate(mongoDbFactory, mappingMongoConverter);
    }

    /**
     * 配置mongoDbFactory
     */
    @Bean
    public SimpleMongoDbFactory mongoDbFactory() {
        MongoClientOptions options = MongoClientOptions.builder().connectTimeout(timeout).build();
        MongoClient client = new MongoClient(new ServerAddress(host, port), options);
        return new SimpleMongoDbFactory(client, db);
    }

    /**
     * 配置mongoMappingContext
     */
    @Bean
    public MongoMappingContext mongoMappingContext() {
        return new MongoMappingContext();
    }

    /**
     * 配置defaultMongoTypeMapper
     */
    @Bean
    public DefaultMongoTypeMapper defaultMongoTypeMapper() {
        //去掉_class字段
        return new DefaultMongoTypeMapper(null);
    }

    /**
     * 配置mappingMongoConverter
     */
    @Bean
    public MappingMongoConverter mappingMongoConverter(SimpleMongoDbFactory mongoDbFactory,
                                                       MongoMappingContext mongoMappingContext,
                                                       DefaultMongoTypeMapper defaultMongoTypeMapper) {
        MappingMongoConverter mappingMongoConverter = new MappingMongoConverter(mongoDbFactory, mongoMappingContext);
        mappingMongoConverter.setTypeMapper(defaultMongoTypeMapper);
        return mappingMongoConverter;
    }

}

 

首先编写一个跟mongodb交互的entity类:

package com.tangzhe.spider.webmagic.entity;

import lombok.Data;
import org.springframework.data.mongodb.core.mapping.Document;

@Document(collection = "up_master")
@Data
public class UpMaster {

    private String mid;
    private Long uid;
    private String name;
    // 头像
    private String face;
    // 粉丝
    private Long fans;
    // 关注
    private Long attention;
    // 签名
    private String sign;
    // 会员等级
    private Integer level;

}

持久层:

这里有三个方法

第一个是通过uid查询用户

第二个是查询所有用户并通过粉丝数排序

第三个是查询粉丝数排行前十名

package com.tangzhe.spider.webmagic.repository;

import com.tangzhe.spider.webmagic.entity.UpMaster;
import org.springframework.data.repository.CrudRepository;

import java.util.List;

public interface UpMasterRepository extends CrudRepository<UpMaster, Long> {

    List<UpMaster> findAllByOrderByMid();
    List<UpMaster> findAllByOrderByFansDesc();
    List<UpMaster> findTop10ByOrderByFansDesc();

}

业务层:

查询前10up主

package com.tangzhe.spider.webmagic.service;

import com.tangzhe.spider.webmagic.entity.UpMaster;
import com.tangzhe.spider.webmagic.repository.UpMasterRepository;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.stereotype.Service;

import java.util.List;

@Service
public class UpMasterServiceImpl implements UpMasterService {

    @Autowired
    private UpMasterRepository upMasterRepository;

    @Override
    public List<UpMaster> findAllOrderByMid() {
        Sort.Order order = new Sort.Order(Sort.Direction.DESC, "mid");
        Sort sort = new Sort(order);
        return upMasterRepository.findTop10ByOrderByFansDesc();
    }

    @Override
    public void add(UpMaster upMaster) {
        upMasterRepository.save(upMaster);
    }

}

controller层:

这个接口可以查询当前mongodb中排名前10的up主信息

package com.tangzhe.spider.webmagic.controller;

import com.tangzhe.spider.webmagic.entity.UpMaster;
import com.tangzhe.spider.webmagic.service.UpMasterService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.List;

@RestController
@RequestMapping("/up")
public class UpMasterController {

    @Autowired
    private UpMasterService upMasterService;

    @GetMapping("/list")
    public List<UpMaster> list() {
        List<UpMaster> list = upMasterService.findAllOrderByMid();
        return list;
    }

}

最后写一个前端页面展示up主粉丝排行:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8" />
    <title>B站up主粉丝数排行榜</title>
    <style type="text/css">
        .face {
            width: 128px;
            height: 128px;
        }
        .content {
            position: absolute;
        }
        .info {
            float: left;
            padding-right: 250px;
        }
    </style>
    <script type="text/javascript" src="/jquery-1.8.3.js"></script>
    <script type="text/javascript">
        $.ajax({
            url: "/up/list",
            type: "GET",
            success: function(data){
                $(data).each(function(i, up){
                    var no = i+1;
                    var name = "<div>"+"NO."+no+"\t"+up.name+"</div>";
                    var uid = "<div>UID: "+up.uid+"</div>";
                    var face = "<img src="+up.face+" />";
                    var fans = "<div>粉丝:"+up.fans+"</div><br/>"
                    var temp = "info";
                    var info = "<div class="+temp+">" + name + uid + face + fans + "</div>";
                    $(".content").append(info);
                    $(".content img").addClass("face");
                });
            }
        });
    </script>
</head>
<body>
    <div class="content"></div>
</body>
</html>

现在就可以执行springboot主类运行项目

访问 http://localhost:8888/

图中展示出来的就是B站用户Uid从1~5000的粉丝数在1W以上的up主的前十名排行榜了

看起来很不错,一个爬虫程序加上web端页面展示就完成了~

 

但是,当爬取上万甚至上百万B站用户信息的时候,爬虫效率并不高,可以说是很慢,这个问题让我很纠结。。。

于是我便想用go语言来写一段同样的爬虫程序,试试看会不会快一点,说写就写~

 

这里为了方便起见,就不分层了,直接将爬虫程序放到一个文件中

package main

import (
    "fmt"
    "strconv"
    "net/http"
    "encoding/json"
    "log"
    "gopkg.in/mgo.v2"
    "time"
)

// B站接口返回数据类型
type Result struct {
    Code int `json:"code"`
    Message string `json:"message"`
    Ttl int `json:"ttl"`
    Data Data `json:"data"`
}

type Data struct {
    Card UpMaster `json:"card"`
}

// up主结构体
type UpMaster struct {
    Mid string `json:"mid"`
    Uid int64 `json:"uid"`
    Name string `json:"name"`
    Face string `json:"face"`
    Fans int64 `json:"fans"`
    Attention int64 `json:"attention"`
    Sign string `json:"sign"`
}

const urlPrefix = "https://api.bilibili.com/x/web-interface/card?mid=" // url前缀
var conn *mgo.Collection

func init() {
    // 初始化mongodb
    session, err := mgo.Dial("localhost:27017")
    if err != nil {
        panic(err)
    }

    session.SetMode(mgo.Monotonic, true)
    conn = session.DB("test").C("up_master")
}

// 爬虫执行函数,供外部调用
func Work(f func(i int, page chan<- int) ()) {
    var start, end int
    fmt.Printf("请输入起始值:")
    fmt.Scan(&start)
    fmt.Printf("请输入结束值:")
    fmt.Scan(&end)
    fmt.Printf("现在开始爬取UID从%d~%d的B站用户粉丝数\n", start, end)
    page := make(chan int)
    for i:=start; i<=end; i++ {
        go f(i, page)
    }
    for i:=start; i<=end; i++ {
        fmt.Printf("%d爬取完成\n", <-page)
    }
}

// 通过用户id爬取粉丝数量
func SpideBilibiliFansByUid(i int, page chan<- int) {
    // 明确爬取的url
    url := urlPrefix + strconv.Itoa(i)
    //fmt.Println(url)
    resp, err := http.Get(url)
    if err != nil {
        fmt.Println("http.Get err =", err)
        return
    }
    defer resp.Body.Close()

    var result string
    buf := make([]byte, 4*1024)
    for {
        n, _ := resp.Body.Read(buf)
        if n == 0 {
            break
        }
        result += string(buf[:n])
    }

    //fmt.Println(result)

    // 将接口返回的json串封装成upMaster对象
    var res Result
    err = json.Unmarshal([]byte(result), &res)
    if err != nil {
        log.Fatal(err)
    }
    //fmt.Println(res.Data.Card)
    up := res.Data.Card // up主对象
    atoi, _ := strconv.Atoi(up.Mid)
    up.Uid = int64(atoi)

    // 将up主对象存入mongodb
    // 粉丝数 >= 10000
    if up.Fans >= 10000 {
        conn.Insert(up)
    }

    time.Sleep(10 * time.Millisecond)

    page <- i
}

func main() {
    Work(SpideBilibiliFansByUid)
}

go语言在语言层面天生支持多线程,只要在前面加上go关键字,就能使用协程了 go func(){}

运行程序(运行之前需要先开mongodb):

这里输入的两个数字就是B站用户的uid,图中是1~10000

经测试,速度比Java的WebMagic快了好几个层级,所以爬虫程序就选用go语言的了,web项目还是采用springboot的。

 

最后奉上Uid从1~10000的up主粉丝大于1W的用户数据:

 

 

 

web页面展示前十名:

 

 

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

DuangDuangDuangDuang,由于篇幅有限,未能展示所有UP主,毕竟有好几十亿的用户啊(这得爬到什么时候呢。。。)

不过后续还会推出更多的排名,慢慢地接近爬取所有UP主粉丝数

请大家拭目以待哦~

 

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