ComplexImageTask Recognition
请求参数
type
<string>requiredComplexImageTask
class
<string>requiredrecognition
imagesBase64
<array>required仅图像的Base64编码 示例: [ “/9j/4AAQSkZJRgABAQEAAAAAAAD…”]
metadata.Task
<string>required可能的值:oocl_rotate_new
等。
任务名称(英文)。
oocl_rotate_new
创建任务oocl_rotate_new
https://api.capmonster.cloud/createTask
要求
{
"clientKey": "API_KEY",
"task": {
"type": "ComplexImageTask",
"class": "recognition",
"imagesBase64": [
"{background_base64}",
"{circle_base64}"
],
"metadata": {
"Task": "oocl_rotate_new"
}
}
}
背景图像 (background_base64):
圆形图像 (circle_base64):
回应
{
"errorId":0,
"taskId":407533072
}
获取任务结果oocl_rotate_new
https://api.capmonster.cloud/getTaskResult
要求
{
"clientKey":"API_KEY",
"taskId": 407533072
}
回应 圆形需要顺时针旋转的度数。
{
"errorId":0,
"status":"ready",
"errorCode":null,
"errorDescription":null,
"solution":
{
"answer":[130.90909],
"metadata":{"AnswerType":"NumericArray"}
}
}
oocl_rotate_double_new
创建任务oocl_rotate_double_new
在请求中我们传递三张图片:背景、环形和圆形。
https://api.capmonster.cloud/createTask
要求
{
"clientKey": "API_KEY",
"task": {
"type": "ComplexImageTask",
"class": "recognition",
"imagesBase64": [
"{background_base64}",
"{ring_base64}",
"{circle_base64}"
],
"metadata": {
"Task": "oocl_rotate_double_new"
}
}
}
背景图像 (background_base64):
环形图像 (ring_base64):
圆形图像 (circle_base64):
回应
{
"errorId":0,
"taskId":407533072
}
获取任务结果oocl_rotate_double_new
https://api.capmonster.cloud/getTaskResult
要求
{
"clientKey":"API_KEY",
"taskId": 407533072
}
回应 环形需要逆时针旋转的度数,圆形需要顺时针旋转的度数。
{
"errorId":0,
"status":"ready",
"errorCode":null,
"errorDescription":null,
"solution":
{
"answer":[130.90909],
"metadata":{"AnswerType":"NumericArray"}
}
}
betpunch_3x3_rotate
创建任务betpunch_3x3_rotate
在请求中我们传递九张图片。图片必须按以下顺序传递:
https://api.capmonster.cloud/createTask
要求
{
"clientKey": "API_KEY",
"task": {
"type": "ComplexImageTask",
"class": "recognition",
"imagesBase64": [
"{image_1_Base64}",
"{image_2_Base64}",
"{image_3_Base64}",
"{image_4_Base64}",
"{image_5_Base64}",
"{image_6_Base64}",
"{image_7_Base64}",
"{image_8_Base64}",
"{image_9_Base64}",
],
"metadata": {
"Task": "betpunch_3x3_rotate"
}
}
}
回应
{
"errorId":0,
"taskId":407533072
}
获取任务结果betpunch_3x3_rotate
https://api.capmonster.cloud/getTaskResult
要求
{
"clientKey":"API_KEY",
"taskId": 407533072
}
回应 "answer":[X,X,X,X,X,X,X,X,X], 其中 X 是每张图片的整数值,范围为 1 到 4。4 表示图像不需要旋转;1-3 表示图像逆时针旋转的次数。
{
"errorId":0,
"status":"ready",
"errorCode":null,
"errorDescription":null,
"solution":
{
"answer":[4,4,4,4,4,3,1,2,2],
"metadata":{"AnswerType":"NumericArray"}
}
}
bls
创建任务 bls
在请求中,我们发送9张以base64格式编码的图片。 我们还在元数据中传递所需的值TaskArgument。
https://api.capmonster.cloud/createTask
要求
{
"clientKey":{{API_key}},
"task":
{
"type": "ComplexImageTask",
"class": "recognition",
"imagesBase64": [
"image1_to_base64",
"image2_to_base64",
"image3_to_base64",
"image4_to_base64",
"image5_to_base64",
"image6_to_base64",
"image7_to_base64",
"image8_to_base64",
"image9_to_base64"
],
"metadata": {
"Task": "bls_3x3",
"TaskArgument": "123"
}
}
}
示例任务:
发送转换为base64的图片:
对于此示例: "TaskArgument": "546"
回应
{
"errorId":0,
"taskId":143998457
}
获取任务结果 bls
https://api.capmonster.cloud/getTaskResult
要求
{
"clientKey":"API_KEY",
"taskId": 143998457
}
回应 一个值的数组,元素为 true 或 false,取决于图片中的数字是否为所需的参数。
{
"errorId":0,
"status":"ready",
"errorCode":null,
"errorDescription":null,
"solution":
{
"answer":[true,true,false,false,true,false,false,true,true],
"metadata":{"AnswerType":"Grid"}
}
}
shein
创建任务 shein
在请求中,我们传递一张 base64 格式的图片。
https://api.capmonster.cloud/createTask
要求
{
"clientKey": "API_KEY",
"task": {
"type": "ComplexImageTask",
"class": "recognition",
"imagesBase64": [
"base64"
],
"metadata": {
"Task": "shein"
}
}
}
示例任务:
回应
{
"errorId":0,
"taskId":143998457
}
获取任务结果 shein
https://api.capmonster.cloud/getTaskResult
要求
{
"clientKey":"API_KEY",
"taskId": 143998457
}
回应 按特定顺序点击的坐标。
{
"solution":
{
"answer":[{"X":68.99999964,"Y":201.954889},{"X":127.99999783999999,"Y":281.54887104},{"X":181.00000776,"Y":49.894734680000006}],
"metadata":{"AnswerType":"Coordinate"}
},
"cost":0.0003,
"status":"ready",
"errorId":0,
"errorCode":null,
"errorDescription":null
}
baidu
创建任务 baidu
在请求中,我们传递一张 base64 格式的图片。
https://api.capmonster.cloud/createTask
要求
{
"clientKey": "API_KEY",
"task":
{
"type": "ComplexImageTask",
"class": "recognition",
"imagesBase64": ["base64"],
"metadata": {
"Task": "baidu"
}
}
}
示例任务:
回应
{
"errorId":0,
"taskId":143998457
}
获取任务结果 baidu
https://api.capmonster.cloud/getTaskResult
要求
{
"clientKey":"API_KEY",
"taskId": 143998457
}
回应 顺时针旋转图像所需的角度。
{
"solution":
{
"answer":[297],
"metadata":{"AnswerType":"NumericArray"}
},
"cost":0.0005,
"status":"ready",
"errorId":0,
"errorCode":null,
"errorDescription":null
}
如何查找任务创建所需的所有参数
手动方式
- 请在浏览器中访问您的网站,该网站包含验证码功能。
- 右键点击验证码元素,选择 检查(Inspect)。
base64
网页上的图片可以以URL或Base64编码格式直接呈现。要找到所需的值,右键点击图片,选择 检查,仔细查看 元素 部分或网络请求网格——在那里可以找到URL或编码内容。
自动方法
一种方便的自动化获取所有必要参数的方式。 某些参数每次页面加载时都会重新生成,因此需要通过浏览器(普通或无头模式,如使用Playwright)提取它们。 由于动态参数值的有效期很短,获取后必须立即解决验证码。
提供的代码片段是用于熟悉参数提取的基本示例。具体实现将取决于验证码页面、其结构及使用的HTML元素/选择器。
- JavaScript
- Python
- C#
显示代码 (Node.js)
import { chromium } from 'playwright';
// 从src中提取base64的函数
async function getBase64FromSrc(elementHandle) {
const src = await elementHandle.getAttribute('src');
if (src && src.startsWith('data:image')) {
return src.split(',')[1];
}
return null;
}
// 使用截图获取base64的函数(如果src不是base64格式)
async function elementToBase64(elementHandle) {
const base64 = await getBase64FromSrc(elementHandle);
if (base64) {
return base64; // 如果图片已经是base64格式,直接返回
}
const buffer = await elementHandle.screenshot();
return buffer.toString('base64');
}
// 将元素数组转换为base64字符串数组的函数
async function multipleElementsToBase64(elements) {
const base64Array = [];
for (const el of elements) {
const base64 = await elementToBase64(el);
base64Array.push(base64);
}
return base64Array;
}
// -------------------------------------------------------------
// 为不同类型的验证码准备base64
// -------------------------------------------------------------
// 1. oocl_rotate_new (背景 + 圆圈)
async function prepareOoclRotateNew(page) {
const background = await page.$('img.background');
const circle = await page.$('img.circle');
const backgroundBase64 = await elementToBase64(background);
const circleBase64 = await elementToBase64(circle);
return { backgroundBase64, circleBase64 };
}
// 2. oocl_rotate_double_new (背景 + 圆环 + 圆圈)
async function prepareOoclRotateDoubleNew(page) {
const background = await page.$('img.background');
const ring = await page.$('img.ring');
const circle = await page.$('img.circle');
const backgroundBase64 = await elementToBase64(background);
const ringBase64 = await elementToBase64(ring);
const circleBase64 = await elementToBase64(circle);
return { backgroundBase64, ringBase64, circleBase64 };
}
// 3. betpunch_3x3_rotate (9张小图片)
async function prepareBetpunch3x3(page) {
const sectors = await page.$$('img.sector');
const sectorsBase64 = await multipleElementsToBase64(sectors);
return { sectorsBase64 };
}
// 4. bls (9张小图片用于点击)
async function prepareBls(page) {
const sectors = await page.$$('img.sector');
const sectorsBase64 = await multipleElementsToBase64(sectors);
return { sectorsBase64 };
}
// 5. shein (1张大图片)
async function prepareShein(page) {
const captchaImage = await page.$('img.captcha');
const captchaBase64 = await elementToBase64(captchaImage);
return { captchaBase64 };
}
// Playwright示例
async function run() {
const browser = await chromium.launch();
const page = await browser.newPage();
await page.goto('https://example.com'); // 替换为实际URL
// 获取oocl_rotate_new的base64示例
const { backgroundBase64, circleBase64 } = await prepareOoclRotateNew(page);
console.log('Base64背景:', backgroundBase64);
console.log('Base64圆圈:', circleBase64);
await browser.close();
}
run();
显示代码
import base64
import asyncio
from playwright.async_api import async_playwright
# 从src中提取base64的函数
async def get_base64_from_src(element_handle):
src = await element_handle.get_attribute("src")
if src and src.startswith("data:image"):
return src.split(",")[1]
return None
# 使用截图获取base64的函数(如果src不是base64格式)
async def element_to_base64(element_handle):
base64_str = await get_base64_from_src(element_handle)
if base64_str:
return base64_str # 如果图片已经是base64格式,直接返回
screenshot = await element_handle.screenshot()
return base64.b64encode(screenshot).decode("utf-8")
# 将元 素数组转换为base64字符串数组的函数
async def multiple_elements_to_base64(elements):
base64_list = []
for el in elements:
base64_str = await element_to_base64(el)
base64_list.append(base64_str)
return base64_list
# -------------------------------------------------------------
# 为不同类型的验证码准备base64
# -------------------------------------------------------------
# 1. oocl_rotate_new (背景 + 圆圈)
async def prepare_oocl_rotate_new(page):
background = await page.query_selector("img.background")
circle = await page.query_selector("img.circle")
background_base64 = await element_to_base64(background)
circle_base64 = await element_to_base64(circle)
return {"backgroundBase64": background_base64, "circleBase64": circle_base64}
# 2. oocl_rotate_double_new (背景 + 圆环 + 圆圈)
async def prepare_oocl_rotate_double_new(page):
background = await page.query_selector("img.background")
ring = await page.query_selector("img.ring")
circle = await page.query_selector("img.circle")
background_base64 = await element_to_base64(background)
ring_base64 = await element_to_base64(ring)
circle_base64 = await element_to_base64(circle)
return {"backgroundBase64": background_base64, "ringBase64": ring_base64, "circleBase64": circle_base64}
# 3. betpunch_3x3_rotate (9张小图片)
async def prepare_betpunch3x3(page):
sectors = await page.query_selector_all("img.sector")
sectors_base64 = await multiple_elements_to_base64(sectors)
return {"sectorsBase64": sectors_base64}
# 4. bls (9张小图片用于点击)
async def prepare_bls(page):
sectors = await page.query_selector_all("img.sector")
sectors_base64 = await multiple_elements_to_base64(sectors)
return {"sectorsBase64": sectors_base64}
# 5. shein (1张大图片)
async def prepare_shein(page):
captcha_image = await page.query_selector("img.captcha")
captcha_base64 = await element_to_base64(captcha_image)
return {"captchaBase64": captcha_base64}
# Playwright示例
async def run():
async with async_playwright() as p:
browser = await p.chromium.launch()
page = await browser.new_page()
await page.goto("https://example.com")
# 获取oocl_rotate_new的base64示例
result = await prepare_oocl_rotate_new(page)
print(result)
await browser.close()
if __name__ == "__main__":
asyncio.run(run())
显示代码
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using Microsoft.Playwright;
class Program
{
// 从src中提取base64的函数
private static async Task<string?> GetBase64FromSrcAsync(IElementHandle elementHandle)
{
var src = await elementHandle.GetAttributeAsync("src");
if (!string.IsNullOrEmpty(src) && src.StartsWith("data:image"))
{
return src.Split(',')[1];
}
return null;
}
// 使用截图获取base64的函数(如果src不是base64格式)
private static async Task<string> ElementToBase64Async(IElementHandle elementHandle)
{
var base64Str = await GetBase64FromSrcAsync(elementHandle);
if (base64Str != null)
{
return base64Str; // 如果图片已经是base64格式,直接返回
}
var screenshot = await elementHandle.ScreenshotAsync();
return Convert.ToBase64String(screenshot);
}
// 将元素数组转换为base64字符串数组的函数
private static async Task<List<string>> MultipleElementsToBase64Async(IEnumerable<IElementHandle> elements)
{
var base64List = new List<string>();
foreach (var el in elements)
{
var base64Str = await ElementToBase64Async(el);
base64List.Add(base64Str);
}
return base64List;
}
// -------------------------------------------------------------
// 为不同类型的验证码准备base64
// -------------------------------------------------------------
// 1. oocl_rotate_new (背景 + 圆圈)
private static async Task<Dictionary<string, string>> PrepareOoclRotateNewAsync(IPage page)
{
var background = await page.QuerySelectorAsync("img.background");
var circle = await page.QuerySelectorAsync("img.circle");
var backgroundBase64 = await ElementToBase64Async(background);
var circleBase64 = await ElementToBase64Async(circle);
return new Dictionary<string, string>
{
["backgroundBase64"] = backgroundBase64,
["circleBase64"] = circleBase64
};
}
// 2. oocl_rotate_double_new (背景 + 圆环 + 圆圈)
private static async Task<Dictionary<string, string>> PrepareOoclRotateDoubleNewAsync(IPage page)
{
var background = await page.QuerySelectorAsync("img.background");
var ring = await page.QuerySelectorAsync("img.ring");
var circle = await page.QuerySelectorAsync("img.circle");
var backgroundBase64 = await ElementToBase64Async(background);
var ringBase64 = await ElementToBase64Async(ring);
var circleBase64 = await ElementToBase64Async(circle);
return new Dictionary<string, string>
{
["backgroundBase64"] = backgroundBase64,
["ringBase64"] = ringBase64,
["circleBase64"] = circleBase64
};
}
// 3. betpunch_3x3_rotate (9张小图片)
private static async Task<Dictionary<string, List<string>>> PrepareBetpunch3x3Async(IPage page)
{
var sectors = await page.QuerySelectorAllAsync("img.sector");
var sectorsBase64 = await MultipleElementsToBase64Async(sectors);
return new Dictionary<string, List<string>>
{
["sectorsBase64"] = sectorsBase64
};
}
// 4. bls (9张小图片用于点击)
private static async Task<Dictionary<string, List<string>>> PrepareBlsAsync(IPage page)
{
var sectors = await page.QuerySelectorAllAsync("img.sector");
var sectorsBase64 = await MultipleElementsToBase64Async(sectors);
return new Dictionary<string, List<string>>
{
["sectorsBase64"] = sectorsBase64
};
}
// 5. shein (1张大图片)
private static async Task<Dictionary<string, string>> PrepareSheinAsync(IPage page)
{
var captchaImage = await page.QuerySelectorAsync("img.captcha");
var captchaBase64 = await ElementToBase64Async(captchaImage);
return new Dictionary<string, string>
{
["captchaBase64"] = captchaBase64
};
}
public static async Task Main()
{
using var playwright = await Playwright.CreateAsync();
var browser = await playwright.Chromium.LaunchAsync();
var page = await browser.NewPageAsync();
await page.GotoAsync("https://example.com");
var result = await PrepareOoclRotateNewAsync(page);
Console.WriteLine($"Background base64 length: {result["backgroundBase64"].Length}");
Console.WriteLine($"Circle base64 length: {result["circleBase64"].Length}");
await browser.CloseAsync();
}
}
在Node.js中搜索oocl参数的示例
import { chromium } from "playwright";
// 代理(可选)
// const proxyHost = "";
// const proxyUsername = "";
// const proxyPassword = "";
async function getBase64FromSrc(elementHandle) {
const src = await elementHandle.getAttribute("src");
if (src && src.startsWith("data:image")) {
return src.split(",")[1];
}
return null;
}
async function elementToBase64(elementHandle) {
const base64 = await getBase64FromSrc(elementHandle);
if (base64) {
return base64;
}
const buffer = await elementHandle.screenshot();
return buffer.toString("base64");
}
async function extractVerifyImagesBase64(page) {
const imgSelectors = [".verify-img-panel img", ".verify-sub-block img"];
const imageHandles = (
await Promise.all(imgSelectors.map((selector) => page.$$(selector)))
).flat();
if (imageHandles.length === 0) {
throw new Error(
"在verify-img-panel或verify-sub-block中未找到图片。"
);
}
const imagesBase64 = [];
for (const handle of imageHandles) {
const base64 = await elementToBase64(handle);
imagesBase64.push({
src: await handle.getAttribute("src"),
base64,
});
}
return imagesBase64;
}
async function run() {
const browser = await chromium.launch({
headless: false,
// proxy: {
// server: `http://${proxyHost}`,
// username: proxyUsername,
// password: proxyPassword,
// },
});
const page = await browser.newPage();
await page.goto(
"https://example.com/registration/form?appurl=https://example.com"
);
try {
const images = await extractVerifyImagesBase64(page);
for (const { src, base64 } of images) {
console.log("来源:", src);
console.log("Base64:", base64);
}
} catch (err) {
console.error(err.message);
}
await browser.close();
}
run();
使用 SDK 库
- JavaScript
- C#
// https://github.com/ZennoLab/capmonstercloud-client-js
import { CapMonsterCloudClientFactory, ClientOptions, ComplexImageTaskRecognitionRequest } from '@zennolab_com/capmonstercloud-client';
document.addEventListener('DOMContentLoaded', async () => {
const cmcClient = CapMonsterCloudClientFactory.Create(new ClientOptions({ clientKey: '<your capmonster.cloud API key>' }));
console.log(await cmcClient.getBalance());
const citRecognitionRequest = new ComplexImageTaskRecognitionRequest({
imagesBase64: ['/9xwee/'],
metaData: { Task: 'oocl_rotate' },
});
console.log(await cmcClient.Solve(citRecognitionRequest));
});
// https://github.com/ZennoLab/capmonstercloud-client-dotnet
using Zennolab.CapMonsterCloud.Requests;
using Zennolab.CapMonsterCloud;
class Program
{
static async Task MainComplexImageTaskRecognition(string[] args)
{
var clientOptions = new ClientOptions
{
ClientKey = "your_api_key" // Replace with your CapMonster Cloud API key
};
var cmCloudClient = CapMonsterCloudClientFactory.Create(clientOptions);
var recognitionCITRequest = new RecognitionComplexImageTaskRequest
{
ImagesBase64 = new List<string>
{
"/9j/4AAQSkZJRgABAQEAAAAAAAD…"
},
Metadata = new RecognitionComplexImageTaskRequest.RecognitionMetadata
{
Task = "oocl_rotate_new"
}
};
var recognitionCITResult = await cmCloudClient.SolveAsync(recognitionCITRequest);
if(recognitionCITResult.Solution.Answer.IsGrid)
Console.WriteLine("Captcha Solution: " + recognitionCITResult.Solution.Answer.GridAnswer);
else if (recognitionCITResult.Solution.Answer.IsNumeric)
Console.WriteLine("Captcha Solution: " + recognitionCITResult.Solution.Answer.NumericAnswer);
}
}