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Как отправить Tiktok на распознавание.

Этот метод позволяет решить Tiktok, с помощью кликов по изображениям.
Мы определяем объект изображенный на капче и отправляем вам координаты для клика.

Версии

Версия 1Версия 2Версия 3
logologologo
kolesoabcslider
Как решать слайдерКак решать слайдер

Поддерживаются и другие задания и добавляются новые.

Поддержка на андроиде

Как отправить Tiktok на распознавание для андроида

Вам нужно

Вам нужно (нажмите сюда для подробной информации)
  1. Получить целиком изображение капчи и инструкцию, по каким картинкам кликать.

  2. Отправить POST запрос к нашему API: http://api.cap.guru/in.php, в переменной textinstructions обязательно указать текст задачи, например: Pick the ladybug. Сервер принимает изображения в формате multipart или base64.

  3. Сервер вернёт ID задания или код ошибки, если что-то пошло не так.

  4. Подождите 5 секунд и отправьте GET запрос к нашему API: http://api.cap.guru/res.php для получения результата.
    Если ваше задание уже решено, сервер вернёт координаты точек, по которым нужно кликнуть.
    Например: OK|coordinate:x=44,y=32. Точка с координатами x=0,y=0 — верхний левый угол изображения. Если ваше задание ещё не решено, сервер вернёт CAPCHA_NOT_READY.
    В таком случае повторите ваш запрос через 5 секунд, если что-то пошло не так, сервер вернёт код ошибки.

  5. Чтобы пройти задание, вам нужно поочередно кликать по полученным координатам.

Полный список параметров приведён в таблице ниже.

Список поддерживаемых заданий

Раскрыть
Drag the slider to fit the puzzle (version 1)
Slide (version 2)
3d (version 3)

Отправка

http://api.cap.guru/in.php

ПараметрТипОбязателенОписание
keyСтрокаДаКлюч можно посмотреть тут
methodСтрокаДаpost — говорит о том, что вы отправляете изображение с помощью multipart-фомы
base64 — говорит о том, что вы отправляете изображение в формате base64
textinstructionsСтрокаДаНапример: koleso, abc , slider .
koleso - Version1,
abc - Version2,
slider - Version3 Поддерживаются задания только на английском языке!
clickСтрокаДаgeetest
fileФаилДа*Файл изображения.
* - обязателен, если вы отправляете картинку как файл (method=post)
bodyСтрокаДа*Изображение, закодированное в формат Base64,
* - обязателен, если вы отправляете картинку в Base64 (method=base64)
body0*СтрокаДа*только для koleso (Verion1)
body1*СтрокаДа*только для koleso (Verion1)
jsonЧисло
По умолчанию: 0
Нет0 - сервер отправит ответ в виде обычного текста
1 - сервер отправит ответ в формате JSON
Пример запроса/ответа

Пример запроса

text
POST  http://api.cap.guru/in.php
Host: api.cap.guru
Content-Type: application/json
json
{
  "key": "YOUR_API_KEY",
  "method": "base64",
  "textinstructions": "Slider",
  "click": "geetest",
  "body": "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",
  "json": 1
}

OR

json
{
  "key": "YOUR_API_KEY",
  "method": "base64",
  "textinstructions": "koleso",
  "click": "geetest",
  "body0": "aHR0cHM6Ly9wMTktY2FwdGNoYS12YS5pYnl0ZWltZy5jb20vdG9zLW1hbGl2YS1pLTcxcnR6ZTIwODEtdXMvMDNlMzU2NGMzNmIzNGVmN2FlNzEwMTA3OWY3Mzg4MmZ+dHBsdi03MXJ0emUyMDgxLTEucG5n",
  "body1": "aHR0cHM6Ly9wMTktY2FwdGNoYS12YS5pYnl0ZWltZy5jb20vdG9zLW1hbGl2YS1pLTcxcnR6ZTIwODEtdXMvYmFkNzNkOGM2OGZhNDcxNzk5OTdkZTg2Mzg5ZjYxNDJ+dHBsdi03MXJ0emUyMDgxLTEucG5n",
  "json": 1
}

После отправки задания нам, вы должны получить в ответ 'OK|65787087' или {"status":1,"request":"65787087"} в случае успешного выполнения запроса. Пожалуйста, ознакомьтесь с полным списком возможных ошибок в случае если вы не получили номер задания.

Пример ответа

json
{
 "status":1,
 "request":"65787087"
}

Получение ответа

http://api.cap.guru/res.php

ПараметрТипОбязателенОписание
keyСтрокаДаКлюч можно посмотреть тут
actionСтрокаДаget — получить ответ
idЧислоДаID капчи, полученный от in.php
jsonЧисло
По умолчанию: 0
Нет0 — сервер вернёт ответ в виде простого текста
1 — сервер вернёт ответ в формате JSON
Пример запроса/ответа

Пример запроса

text
POST  http://api.cap.guru/res.php 
Host: api.cap.guru
Content-Type: application/json
json
{
  "key": "YOUR_API_KEY",
  "action": "get",
  "id": "XXXXXXXXXXXXXXXXXX", // for example 65787087
  "json": 1
}

После отправки задания нам, вы должны получить в ответ 'OK|coordinate:x=44,y=32' или {"status":1,"request":"coordinate:x=44,y=32"} в случае успешного выполнения запроса. Пожалуйста, ознакомьтесь с полным списком возможных ошибок в случае если вы не получили ответ.

Пример ответа

json
{
 "status":1,
 "request":"coordinate:x=44,y=32"
}

Examples

Python
import requests
from io import BytesIO
import base64
import time

key = 'YOUR_KEY'
url = 'http://learn.captcha.guru/img/_images/geetest/ffd9736b8d7e9d82558271d777848b4f.png'
response = requests.get(url)

ee = base64.b64encode((response.content))

payload = {'textinstructions': 'abc', 'click': 'geetest', 'key': key, 'method': 'base64', 'body': ee}
r = requests.post("http://api.cap.guru/in.php", data=payload)

time.sleep(10)

rt = r.text.split('|')
url = 'http://api.cap.guru/res.php?key='+key+'&id='+rt[1]
print(url);
response = requests.get(url)
js
Скоро добавим

Examples 2

Python
import requests
from io import BytesIO
import base64
import time

key = 'YUOR_Key'
url1 = b'https://p19-captcha-va.ibyteimg.com/tos-maliva-i-71rtze2081-us/03e3564c36b34ef7ae7101079f73882f~tplv-71rtze2081-1.png'
url2 = b'https://p19-captcha-va.ibyteimg.com/tos-maliva-i-71rtze2081-us/bad73d8c68fa47179997de86389f6142~tplv-71rtze2081-1.png'


ee1 = base64.b64encode((url1))
ee2 = base64.b64encode((url2))

payload = {'textinstructions': 'koleso', 'click': 'geetest', 'key': key, 'method': 'base64', 'body0': ee1, 'body1': ee2}
r = requests.post("http://api.cap.guru/in.php", data=payload)

time.sleep(10)

rt = r.text.split('|')
url = 'http://api.cap.guru/res.php?key='+key+'&id='+rt[1]

response = requests.get(url)
print(response.content)
js
Скоро добавим