使用python编写的爬虫给X站视频增加一个播放量
目录
前言
一、增加播放量的请求分析
1.请求网址：
2.请求分析：
4. 对荷载分析：
二、代码实现
总结拓展
前言
在平时观看X站视频的过程中，一个视频的播放量需要点击播放来增加，而在代码中如何实现播放量的增加呢，本篇文章就带你实现在代码中增加一个播放量。
提示：以下是本篇文章正文内容，下面案例可供参考
一、增加播放量的请求分析
1.请求网址：
video_url = b'aHR0cHM6Ly93d3cuYmlsaWJpbGkuY29tL3ZpZGVvL0JWMXZNNHkxQzdGUS8='2.请求分析：
经过多次验证X站中视频播放量增加的请求为h5这个请求，其截图如图：
3.对cookie分析：
4. 对荷载分析：
二、代码实现
代码如下（示例）：
python代码：
import os
import re
import time
import json
import datetime
import uuid
import execjs
import shutil
import requests
import subprocess
from loguru import logger
from functools import partial
class generated_parameter():
def __init__(self, video_url):
self.video_url = video_url
self.my_log()
def my_log(self):
"""
日志模块
:return:
"""
logger.add("logs/{time:YYYY-MM-DD}.log",
format="{time:YYYY-MM-DD HH:mm:ss.SSS} |{level:8}| {name} : {module}:{line:4} | - {message} |({file}:{line})",
rotation="00:00", compression="zip")
# 超过七天自动压缩
logs_dir = "../bilibili/logs"
for filename in os.listdir(logs_dir):
filepath = os.path.join(logs_dir, filename)
if os.path.isfile(filepath):
creation_time = datetime.datetime.fromtimestamp(os.path.getctime(filepath))
if (datetime.datetime.now() - creation_time).days > 7:
shutil.make_archive(filepath, "zip", logs_dir, filename)
os.remove(filepath)
def get_a(self):
"""
aid、cid提取
:return: 包含aid、cid的字典
"""
url = self.video_url
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36"
}
req = requests.get(url=url, headers=headers)
data_list = re.findall(r'__INITIAL_STATE__=(.+);\(function', req.text)
data_dict = json.loads(data_list[0])
return data_dict
def gen_uuid(self):
"""
uuid生成
"""
uuid_sec = str(uuid.uuid4())
time_sec = str(int(time.time() * 1000 % 1e5))
time_sec = time_sec.rjust(5, "0")
return "{}{}infoc".format(uuid_sec, time_sec)
def open_js(self, method_names):
"""
js调用
:param method_names: 要调用的js方法名
:return: js调用的结果
"""
subprocess.Popen = partial(subprocess.Popen, encoding="utf-8")
with open("bili.js", mode="r", encoding="utf-8") as f:
ex_js = execjs.compile(f.read())
return ex_js.call(f"{method_names}")
def get_bt34(self):
"""
b_nut、buvid3、buvid4三个参数提取
:return: 包含b_nut、buvid3、buvid4三个的列表
"""
url = self.video_url
session = requests.Session()
session.headers.update({
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36"})
req = session.get(url=url)
spi_url = 'https://api.bilibili.com/x/frontend/finger/spi'
spi_rep = session.get(spi_url)
b_nut = dict(req.cookies)['b_nut']
buvid3 = dict(req.cookies)['buvid3']
buvid4 = spi_rep.json()['data']['b_4'].replace('/', '%2F').replace('=', '%3D%3D')
return [b_nut, buvid3, buvid4]
def post_h5(bvid, buvid4, buvid3, b_nut, b_lsid, my_uuid, buvid_fp, aid, cid, now_time):
"""
请求h5网址
"""
url = 'https://api.bilibili.com/x/click-interface/click/web/h5'
headers = {
"Referer": f"https://www.bilibili.com/video/{bvid}/",
"Cookie": f"buvid4={buvid4}; buvid3={buvid3}; b_nut={b_nut}; CURRENT_FNVAL=4048; sid=g6e519i7; b_lsid={b_lsid}; _uuid={my_uuid}; buvid_fp={buvid_fp}",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36"
}
params = {
"aid": aid,
"cid": cid,
"part": "1",
"lv": "0",
"ftime": now_time,
"stime": now_time,
"type": "3",
"sub_type": "0",
"refer_url": '',
"spmid": "333.788.0.0",
"from_spmid": "",
"csrf": "",
}
req = requests.post(url=url, headers=headers, params=params)
return req
def task(video_url):
"""
生成参数，调用视频播放量增加的网址
:return:
"""
bvid = video_url.rsplit("/")
if not bvid[-1]:
bvid = bvid[-2]
else:
bvid = bvid[-1]
gen_par = generated_parameter(video_url)
data_dict = gen_par.get_a()
aid = data_dict['aid']
cid = data_dict['videoData']['cid']
now_time = int(time.time())
my_uuid = gen_par.gen_uuid()
b_lsid = gen_par.open_js("b_lsid")
buvid_fp = gen_par.open_js("buvid_fp")
b_nut = gen_par.get_bt34()[0]
buvid3 = gen_par.get_bt34()[1]
buvid4 = gen_par.get_bt34()[2]
post_h5(bvid, buvid4, buvid3, b_nut, b_lsid, my_uuid, buvid_fp, aid, cid, now_time)
# 运行成功网址写进日志
logger.info(f"Info 视频网址:{video_url}")
if __name__ == '__main__':
video_url = ""
task(video_url)
js代码：
function b_lsid() {
function splitDate(e) {
var t = new Date(e || Date.now())
, r = t.getDate()
, n = t.getHours()
, e = t.getMinutes()
, t = t.getTime();
return {
day: r,
hour: n,
minute: e,
second: Math.floor(t / 1e3),
millisecond: t
}
}
function hr(e) {
return Math.ceil(e).toString(16).toUpperCase()
}
function s(e, t) {
var r = "";
if (e.length < t)
for (var n = 0; n < t - e.length; n++)
r += "0";
return r + e
}
function l(e) {
for (var t = "", r = 0; r < e; r++)
t += hr(16 * Math.random());
return s(t, e)
}
var e = splitDate()
, t = hr(e.millisecond)
return "".concat(l(8), "_").concat(t)
}
function buvid_fp() {
var e = [
{
"key": "userAgent",
"value": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36"
},
{
"key": "webdriver",
"value": false
},
{
"key": "language",
"value": "zh-CN"
},
{
"key": "colorDepth",
"value": 24
},
{
"key": "deviceMemory",
"value": 8
},
{
"key": "hardwareConcurrency",
"value": 12
},
{
"key": "screenResolution",
"value": [
2048,
1152
]
},
{
"key": "availableScreenResolution",
"value": [
2048,
1112
]
},
{
"key": "timezoneOffset",
"value": -480
},
{
"key": "timezone",
"value": "Asia/Shanghai"
},
{
"key": "sessionStorage",
"value": true
},
{
"key": "localStorage",
"value": true
},
{
"key": "indexedDb",
"value": true
},
{
"key": "addBehavior",
"value": false
},
{
"key": "openDatabase",
"value": true
},
{
"key": "cpuClass",
"value": "not available"
},
{
"key": "platform",
"value": "Win32"
},
{
"key": "plugins",
"value": [
[
"PDF Viewer",
"Portable Document Format",
[
[
"application/pdf",
"pdf"
],
[
"text/pdf",
"pdf"
]
]
],
[
"Chrome PDF Viewer",
"Portable Document Format",
[
[
"application/pdf",
"pdf"
],
[
"text/pdf",
"pdf"
]
]
],
[
"Chromium PDF Viewer",
"Portable Document Format",
[
[
"application/pdf",
"pdf"
],
[
"text/pdf",
"pdf"
]
]
],
[
"Microsoft Edge PDF Viewer",
"Portable Document Format",
[
[
"application/pdf",
"pdf"
],
[
"text/pdf",
"pdf"
]
]
],
[
"WebKit built-in PDF",
"Portable Document Format",
[
[
"application/pdf",
"pdf"
],
[
"text/pdf",
"pdf"
]
]
]
]
},
{
"key": "canvas",
"value": [
"canvas winding:yes",
"canvas fp:data:image/png;base64,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]
},
{
"key": "webgl",
"value": [
"data:image/png;base64,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",
"extensions:ANGLE_instanced_arrays;EXT_blend_minmax;EXT_color_buffer_half_float;EXT_disjoint_timer_query;EXT_float_blend;EXT_frag_depth;EXT_shader_texture_lod;EXT_texture_compression_bptc;EXT_texture_compression_rgtc;EXT_texture_filter_anisotropic;EXT_sRGB;KHR_parallel_shader_compile;OES_element_index_uint;OES_fbo_render_mipmap;OES_standard_derivatives;OES_texture_float;OES_texture_float_linear;OES_texture_half_float;OES_texture_half_float_linear;OES_vertex_array_object;WEBGL_color_buffer_float;WEBGL_compressed_texture_s3tc;WEBGL_compressed_texture_s3tc_srgb;WEBGL_debug_renderer_info;WEBGL_debug_shaders;WEBGL_depth_texture;WEBGL_draw_buffers;WEBGL_lose_context;WEBGL_multi_draw",
"webgl aliased line width range:[1, 1]",
"webgl aliased point size range:[1, 1024]",
"webgl alpha bits:8",
"webgl antialiasing:yes",
"webgl blue bits:8",
"webgl depth bits:24",
"webgl green bits:8",
"webgl max anisotropy:16",
"webgl max combined texture image units:32",
"webgl max cube map texture size:16384",
"webgl max fragment uniform vectors:1024",
"webgl max render buffer size:16384",
"webgl max texture image units:16",
"webgl max texture size:16384",
"webgl max varying vectors:30",
"webgl max vertex attribs:16",
"webgl max vertex texture image units:16",
"webgl max vertex uniform vectors:4095",
"webgl max viewport dims:[32767, 32767]",
"webgl red bits:8",
"webgl renderer:WebKit WebGL",
"webgl shading language version:WebGL GLSL ES 1.0 (OpenGL ES GLSL ES 1.0 Chromium)",
"webgl stencil bits:0",
"webgl vendor:WebKit",
"webgl version:WebGL 1.0 (OpenGL ES 2.0 Chromium)",
"webgl unmasked vendor:Google Inc. (NVIDIA)",
"webgl unmasked renderer:ANGLE (NVIDIA, NVIDIA GeForce GTX 1660 Ti Direct3D11 vs_5_0 ps_5_0, D3D11)",
"webgl vertex shader high float precision:23",
"webgl vertex shader high float precision rangeMin:127",
"webgl vertex shader high float precision rangeMax:127",
"webgl vertex shader medium float precision:23",
"webgl vertex shader medium float precision rangeMin:127",
"webgl vertex shader medium float precision rangeMax:127",
"webgl vertex shader low float precision:23",
"webgl vertex shader low float precision rangeMin:127",
"webgl vertex shader low float precision rangeMax:127",
"webgl fragment shader high float precision:23",
"webgl fragment shader high float precision rangeMin:127",
"webgl fragment shader high float precision rangeMax:127",
"webgl fragment shader medium float precision:23",
"webgl fragment shader medium float precision rangeMin:127",
"webgl fragment shader medium float precision rangeMax:127",
"webgl fragment shader low float precision:23",
"webgl fragment shader low float precision rangeMin:127",
"webgl fragment shader low float precision rangeMax:127",
"webgl vertex shader high int precision:0",
"webgl vertex shader high int precision rangeMin:31",
"webgl vertex shader high int precision rangeMax:30",
"webgl vertex shader medium int precision:0",
"webgl vertex shader medium int precision rangeMin:31",
"webgl vertex shader medium int precision rangeMax:30",
"webgl vertex shader low int precision:0",
"webgl vertex shader low int precision rangeMin:31",
"webgl vertex shader low int precision rangeMax:30",
"webgl fragment shader high int precision:0",
"webgl fragment shader high int precision rangeMin:31",
"webgl fragment shader high int precision rangeMax:30",
"webgl fragment shader medium int precision:0",
"webgl fragment shader medium int precision rangeMin:31",
"webgl fragment shader medium int precision rangeMax:30",
"webgl fragment shader low int precision:0",
"webgl fragment shader low int precision rangeMin:31",
"webgl fragment shader low int precision rangeMax:30"
]
},
{
"key": "webglVendorAndRenderer",
"value": "Google Inc. (NVIDIA)~ANGLE (NVIDIA, NVIDIA GeForce GTX 1660 Ti Direct3D11 vs_5_0 ps_5_0, D3D11)"
},
{
"key": "hasLiedLanguages",
"value": false
},
{
"key": "hasLiedResolution",
"value": false
},
{
"key": "hasLiedOs",
"value": false
},
{
"key": "hasLiedBrowser",
"value": false
},
{
"key": "touchSupport",
"value": [
0,
false,
false
]
},
{
"key": "fonts",
"value": [
"Arial",
"Arial Black",
"Arial Narrow",
"Book Antiqua",
"Bookman Old Style",
"Calibri",
"Cambria",
"Cambria Math",
"Century",
"Century Gothic",
"Century Schoolbook",
"Comic Sans MS",
"Consolas",
"Courier",
"Courier New",
"Georgia",
"Helvetica",
"Impact",
"Lucida Bright",
"Lucida Calligraphy",
"Lucida Console",
"Lucida Fax",
"Lucida Handwriting",
"Lucida Sans",
"Lucida Sans Typewriter",
"Lucida Sans Unicode",
"Microsoft Sans Serif",
"Monotype Corsiva",
"MS Gothic",
"MS PGothic",
"MS Reference Sans Serif",
"MS Sans Serif",
"MS Serif",
"Palatino Linotype",
"Segoe Print",
"Segoe Script",
"Segoe UI",
"Segoe UI Light",
"Segoe UI Semibold",
"Segoe UI Symbol",
"Tahoma",
"Times",
"Times New Roman",
"Trebuchet MS",
"Verdana",
"Wingdings",
"Wingdings 2",
"Wingdings 3"
]
},
{
"key": "audio",
"value": "124.04347527516074"
}
]
var t = e.map(function (e) {
return e.value
}).join("")
var g = function (e, t) {
e = [e[0] >>> 16, 65535 & e[0], e[1] >>> 16, 65535 & e[1]],
t = [t[0] >>> 16, 65535 & t[0], t[1] >>> 16, 65535 & t[1]];
var r = [0, 0, 0, 0];
return r[3] += e[3] * t[3],
r[2] += r[3] >>> 16,
r[3] &= 65535,
r[2] += e[2] * t[3],
r[1] += r[2] >>> 16,
r[2] &= 65535,
r[2] += e[3] * t[2],
r[1] += r[2] >>> 16,
r[2] &= 65535,
r[1] += e[1] * t[3],
r[0] += r[1] >>> 16,
r[1] &= 65535,
r[1] += e[2] * t[2],
r[0] += r[1] >>> 16,
r[1] &= 65535,
r[1] += e[3] * t[1],
r[0] += r[1] >>> 16,
r[1] &= 65535,
r[0] += e[0] * t[3] + e[1] * t[2] + e[2] * t[1] + e[3] * t[0],
r[0] &= 65535,
[r[0] << 16 | r[1], r[2] << 16 | r[3]]
}
, v = function (e, t) {
return [e[0] ^ t[0], e[1] ^ t[1]]
}
, e = {
preprocessor: null,
audio: {
timeout: 1e3,
excludeIOS11: !0
},
fonts: {
swfContainerId: "fingerprintjs2",
swfPath: "flash/compiled/FontList.swf",
userDefinedFonts: [],
extendedJsFonts: !1
},
screen: {
detectScreenOrientation: !0
},
plugins: {
sortPluginsFor: [/palemoon/i],
excludeIE: !1
},
extraComponents: [],
excludes: {
enumerateDevices: !0,
pixelRatio: !0,
doNotTrack: !0,
fontsFlash: !0,
adBlock: !0
},
NOT_AVAILABLE: "not available",
ERROR: "error",
EXCLUDED: "excluded"
}
, m = function (e, t) {
if (Array.prototype.forEach && e.forEach === Array.prototype.forEach)
e.forEach(t);
else if (e.length === +e.length)
for (var r = 0, n = e.length; r < n; r++)
t(e[r], r, e);
else
for (var o in e)
e.hasOwnProperty(o) && t(e[o], o, e)
}
, i = function (e) {
for (var t = !1, r = 0, n = e.plugins.sortPluginsFor.length; r < n; r++) {
var o = e.plugins.sortPluginsFor[r];
if (navigator.userAgent.match(o)) {
t = !0;
break
}
}
return t
}
, a = function () {
var e = document.createElement("canvas");
return !(!e.getContext || !e.getContext("2d"))
}
, f = function (e) {
var t = document.createElement("div");
t.setAttribute("id", e.fonts.swfContainerId),
document.body.appendChild(t)
}
, y = function () {
var e = document.createElement("canvas")
, t = null;
try {
t = e.getContext("webgl") || e.getContext("experimental-webgl")
} catch (e) {
}
return t = t || null
}
, b = function (e) {
e = e.getExtension("WEBGL_lose_context");
null != e && e.loseContext()
}
function d(e, t) {
return 32 === (t %= 64) ? [e[1], e[0]] : t < 32 ? [e[0] << t | e[1] >>> 32 - t, e[1] << t | e[0] >>> 32 - t] : [e[1] << (t -= 32) | e[0] >>> 32 - t, e[0] << t | e[1] >>> 32 - t]
}
function l(e, t) {
e = [e[0] >>> 16, 65535 & e[0], e[1] >>> 16, 65535 & e[1]],
t = [t[0] >>> 16, 65535 & t[0], t[1] >>> 16, 65535 & t[1]];
var r = [0, 0, 0, 0];
return r[3] += e[3] + t[3],
r[2] += r[3] >>> 16,
r[3] &= 65535,
r[2] += e[2] + t[2],
r[1] += r[2] >>> 16,
r[2] &= 65535,
r[1] += e[1] + t[1],
r[0] += r[1] >>> 16,
r[1] &= 65535,
r[0] += e[0] + t[0],
r[0] &= 65535,
[r[0] << 16 | r[1], r[2] << 16 | r[3]]
}
function p(e, t) {
return 0 === (t %= 64) ? e : t < 32 ? [e[0] << t | e[1] >>> 32 - t, e[1] << t] : [e[1] << t - 32, 0]
}
function h(e) {
return e = v(e, [0, e[0] >>> 1]),
e = g(e, [4283543511, 3981806797]),
e = v(e, [0, e[0] >>> 1]),
e = g(e, [3301882366, 444984403]),
e = v(e, [0, e[0] >>> 1])
}
function s(e, t) {
for (var r = (e = e || "").length % 16, n = e.length - r, o = [0, t = t || 0], i = [0, t], a = [0, 0], s = [0, 0], u = [2277735313, 289559509], c = [1291169091, 658871167], f = 0; f < n; f += 16)
a = [255 & e.charCodeAt(f + 4) | (255 & e.charCodeAt(f + 5)) << 8 | (255 & e.charCodeAt(f + 6)) << 16 | (255 & e.charCodeAt(f + 7)) << 24, 255 & e.charCodeAt(f) | (255 & e.charCodeAt(f + 1)) << 8 | (255 & e.charCodeAt(f + 2)) << 16 | (255 & e.charCodeAt(f + 3)) << 24],
s = [255 & e.charCodeAt(f + 12) | (255 & e.charCodeAt(f + 13)) << 8 | (255 & e.charCodeAt(f + 14)) << 16 | (255 & e.charCodeAt(f + 15)) << 24, 255 & e.charCodeAt(f + 8) | (255 & e.charCodeAt(f + 9)) << 8 | (255 & e.charCodeAt(f + 10)) << 16 | (255 & e.charCodeAt(f + 11)) << 24],
a = g(a, u),
a = d(a, 31),
a = g(a, c),
o = v(o, a),
o = d(o, 27),
o = l(o, i),
o = l(g(o, [0, 5]), [0, 1390208809]),
s = g(s, c),
s = d(s, 33),
s = g(s, u),
i = v(i, s),
i = d(i, 31),
i = l(i, o),
i = l(g(i, [0, 5]), [0, 944331445]);
switch (a = [0, 0],
s = [0, 0],
r) {
case 15:
s = v(s, p([0, e.charCodeAt(f + 14)], 48));
case 14:
s = v(s, p([0, e.charCodeAt(f + 13)], 40));
case 13:
s = v(s, p([0, e.charCodeAt(f + 12)], 32));
case 12:
s = v(s, p([0, e.charCodeAt(f + 11)], 24));
case 11:
s = v(s, p([0, e.charCodeAt(f + 10)], 16));
case 10:
s = v(s, p([0, e.charCodeAt(f + 9)], 8));
case 9:
s = v(s, [0, e.charCodeAt(f + 8)]),
s = g(s, c),
s = d(s, 33),
s = g(s, u),
i = v(i, s);
case 8:
a = v(a, p([0, e.charCodeAt(f + 7)], 56));
case 7:
a = v(a, p([0, e.charCodeAt(f + 6)], 48));
case 6:
a = v(a, p([0, e.charCodeAt(f + 5)], 40));
case 5:
a = v(a, p([0, e.charCodeAt(f + 4)], 32));
case 4:
a = v(a, p([0, e.charCodeAt(f + 3)], 24));
case 3:
a = v(a, p([0, e.charCodeAt(f + 2)], 16));
case 2:
a = v(a, p([0, e.charCodeAt(f + 1)], 8));
case 1:
a = v(a, [0, e.charCodeAt(f)]),
a = g(a, u),
a = d(a, 31),
a = g(a, c),
o = v(o, a)
}
return o = v(o, [0, e.length]),
i = v(i, [0, e.length]),
o = l(o, i),
i = l(i, o),
o = h(o),
i = h(i),
o = l(o, i),
i = l(i, o),
("00000000" + (o[0] >>> 0).toString(16)).slice(-8) + ("00000000" + (o[1] >>> 0).toString(16)).slice(-8) + ("00000000" + (i[0] >>> 0).toString(16)).slice(-8) + ("00000000" + (i[1] >>> 0).toString(16)).slice(-8)
}
return s(t, 31)
}总结拓展
1.总结
cookie中的参数uuid使用第三方库生成，b_lsid、buvid_fp使用js生成。在程序运行的过程中运行的运行过网址会保存在日志中，超过七天的日志则自动打包压缩。
2.拓展
本文只增加了视频的播放量，与之相应的还有完播率，完播率的请求为heartbeat请求实现。
要给一个视频增加多个播放量需要使用代理ip实现，同一个ip只能给一个视频增加极少的播放量。
3.源码下载
码云：bilibili: bilibili播放量增加爬虫