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How to Solve Captcha in Agno with CapSolver Integration

How to Solve Captcha in Agno with CapSolver Integration

Logo of CapSolver

Lucas Mitchell

Automation Engineer

13-Jan-2026

Agno with CapSolver Integration

As AI-driven automation becomes more practical in real-world workflows, Agno has emerged as a fast and privacy-first framework for building autonomous multi-agent systems. When these agents interact with websites through scraping, data collection, or automated browsing, captcha often become a issue.

CapSolver helps solve this problem by allowing Agno agents to reliably handle CAPTCHA-protected pages without breaking the automation flow. Together, Agno and CapSolver make it easier to build scalable, hands-off automation that works on real websites.

What is Agno?

Agno is an open-source multi-agent framework and runtime for building AI systems that run entirely inside your own infrastructure. It’s designed with performance and privacy in mind—no external control plane and no data leaving your environment.

Key Features of Agno

  • High Performance: Significantly faster and more memory-efficient than many agent frameworks
  • Privacy-First: Fully self-hosted, with complete control over data and execution
  • Multi-Agent Systems: Agents can collaborate, specialize, and coordinate tasks
  • Model Flexible: Supports OpenAI, Anthropic, Google, and many other providers
  • Production-Ready Runtime: Includes a FastAPI-based runtime for deploying agents
  • Rich Tooling: Built-in tools for web automation, APIs, databases, and more
  • Persistent Memory: Agents can retain context across sessions
    mory across sessions with agentic RAG and 20+ vector stores

Core Architecture

Component Description
Agents Autonomous AI units with memory, tools, and model integration
Teams Groups of agents collaborating on complex tasks
Workflows Structured pipelines for predictable execution
AgentOS FastAPI runtime for production deployment

What is CapSolver?

CapSolver is a leading CAPTCHA solving service that provides AI-powered solutions for bypassing various CAPTCHA challenges. With support for multiple CAPTCHA types and lightning-fast response times, CapSolver integrates seamlessly into automated workflows.

Supported CAPTCHA Types

Why Integrate CapSolver with Agno?

When building Agno agents that interact with websites—whether for data collection, automated testing, or content aggregation—CAPTCHA challenges become a significant obstacle. For a deeper dive into solving CAPTCHAs in automated browser environments, check out our guide on how to solve CAPTCHA in Puppeteer. Here's why the integration matters:

  1. Uninterrupted Agent Workflows: Agents can complete their tasks without manual intervention. For more solutions on CAPTCHAs in web scraping, refer to our article: Best Way to Solve CAPTCHA While Web Scraping.
  2. Privacy Preserved: Both Agno and CapSolver allow you to maintain control over your data
  3. Scalable Automation: Handle multiple CAPTCHA challenges across concurrent agent operations
  4. Cost-Effective: Pay only for successfully solved CAPTCHAs
  5. High Success Rates: Industry-leading accuracy for all supported CAPTCHA types.

Installation

First, install the required packages:

bash Copy 
pip install agno
pip install requests

Agno is model-agnostic with built-in support for 23+ LLM providers:

python Copy 
# OpenAI
from agno.models.openai import OpenAIChat

# Anthropic Claude
from agno.models.anthropic import Claude

# Google Gemini
from agno.models.google import Gemini

# And many more...

Creating a Custom CapSolver Tool for Agno

Agno allows you to create custom tools that agents can use to accomplish their tasks. Here's how to create a CapSolver tool for handling CAPTCHA challenges:

Basic CapSolver Tool Implementation

python Copy 
import requests
import time
from agno.tools import tool

CAPSOLVER_API_KEY = "YOUR_CAPSOLVER_API_KEY"


@tool
def solve_captcha(
    website_url: str,
    website_key: str,
    captcha_type: str = "ReCaptchaV2TaskProxyLess"
) -> str:
    """
    Solves CAPTCHA challenges using CapSolver API.

    Args:
        website_url: The URL of the website with CAPTCHA
        website_key: The site key of the CAPTCHA
        captcha_type: Type of CAPTCHA (ReCaptchaV2TaskProxyLess, ReCaptchaV3TaskProxyLess, AntiTurnstileTaskProxyLess)

    Returns:
        The CAPTCHA solution token
    """
    # Create task
    payload = {
        "clientKey": CAPSOLVER_API_KEY,
        "task": {
            "type": captcha_type,
            "websiteURL": website_url,
            "websiteKey": website_key
        }
    }

    response = requests.post("https://api.capsolver.com/createTask", json=payload)
    result = response.json()

    if result.get("errorId") != 0:
        return f"Error creating task: {result.get('errorDescription')}"

    task_id = result.get("taskId")

    # Poll for result
    for _ in range(60):
        time.sleep(2)

        result = requests.post(
            "https://api.capsolver.com/getTaskResult",
            json={"clientKey": CAPSOLVER_API_KEY, "taskId": task_id}
        ).json()

        if result.get("status") == "ready":
            solution = result.get("solution", {})
            return solution.get("gRecaptchaResponse") or solution.get("token")
        elif result.get("status") == "failed":
            return f"Task failed: {result.get('errorDescription')}"

    return "Timeout waiting for CAPTCHA solution"

Solving Different CAPTCHA Types

reCAPTCHA v2 Solver

python Copy 
import requests
import time
from agno.tools import tool

CAPSOLVER_API_KEY = "YOUR_CAPSOLVER_API_KEY"


@tool
def solve_recaptcha_v2(website_url: str, website_key: str) -> str:
    """
    Solves reCAPTCHA v2 challenges using CapSolver.

    Args:
        website_url: The URL of the website with reCAPTCHA v2
        website_key: The site key (data-sitekey attribute)

    Returns:
        The g-recaptcha-response token
    """
    payload = {
        "clientKey": CAPSOLVER_API_KEY,
        "task": {
            "type": "ReCaptchaV2TaskProxyLess",
            "websiteURL": website_url,
            "websiteKey": website_key
        }
    }

    # Create task
    response = requests.post("https://api.capsolver.com/createTask", json=payload)
    result = response.json()

    if result.get("errorId") != 0:
        return f"Error: {result.get('errorDescription')}"

    task_id = result.get("taskId")

    # Poll for result
    for attempt in range(60):
        time.sleep(2)
        result = requests.post(
            "https://api.capsolver.com/getTaskResult",
            json={"clientKey": CAPSOLVER_API_KEY, "taskId": task_id}
        ).json()

        if result.get("status") == "ready":
            return result["solution"]["gRecaptchaResponse"]
        if result.get("status") == "failed":
            return f"Failed: {result.get('errorDescription')}"

    return "Timeout waiting for solution"

reCAPTCHA v3 Solver

python Copy 
import requests
import time
from agno.tools import tool

CAPSOLVER_API_KEY = "YOUR_CAPSOLVER_API_KEY"


@tool
def solve_recaptcha_v3(
    website_url: str,
    website_key: str,
    page_action: str = "submit",
    min_score: float = 0.7
) -> str:
    """
    Solves reCAPTCHA v3 challenges with score-based verification.

    Args:
        website_url: The URL of the website with reCAPTCHA v3
        website_key: The site key of the reCAPTCHA
        page_action: The action parameter for reCAPTCHA v3
        min_score: Minimum score required (0.1 to 0.9)

    Returns:
        The g-recaptcha-response token
    """
    payload = {
        "clientKey": CAPSOLVER_API_KEY,
        "task": {
            "type": "ReCaptchaV3TaskProxyLess",
            "websiteURL": website_url,
            "websiteKey": website_key,
            "pageAction": page_action,
            "minScore": min_score
        }
    }

    # Create task
    response = requests.post("https://api.capsolver.com/createTask", json=payload)
    result = response.json()

    if result.get("errorId") != 0:
        return f"Error: {result.get('errorDescription')}"

    task_id = result.get("taskId")

    # Poll for result
    for attempt in range(60):
        time.sleep(2)
        result = requests.post(
            "https://api.capsolver.com/getTaskResult",
            json={"clientKey": CAPSOLVER_API_KEY, "taskId": task_id}
        ).json()

        if result.get("status") == "ready":
            return result["solution"]["gRecaptchaResponse"]
        if result.get("status") == "failed":
            return f"Failed: {result.get('errorDescription')}"

    return "Timeout waiting for solution"

Cloudflare Turnstile Solver

python Copy 
import requests
import time
from agno.tools import tool

CAPSOLVER_API_KEY = "YOUR_CAPSOLVER_API_KEY"


@tool
def solve_turnstile(website_url: str, website_key: str) -> str:
    """
    Solves Cloudflare Turnstile challenges.

    Args:
        website_url: The URL of the website with Turnstile
        website_key: The site key of the Turnstile widget

    Returns:
        The Turnstile token
    """
    payload = {
        "clientKey": CAPSOLVER_API_KEY,
        "task": {
            "type": "AntiTurnstileTaskProxyLess",
            "websiteURL": website_url,
            "websiteKey": website_key
        }
    }

    # Create task
    response = requests.post("https://api.capsolver.com/createTask", json=payload)
    result = response.json()

    if result.get("errorId") != 0:
        return f"Error: {result.get('errorDescription')}"

    task_id = result.get("taskId")

    # Poll for result
    for attempt in range(60):
        time.sleep(2)
        result = requests.post(
            "https://api.capsolver.com/getTaskResult",
            json={"clientKey": CAPSOLVER_API_KEY, "taskId": task_id}
        ).json()

        if result.get("status") == "ready":
            return result["solution"]["token"]
        if result.get("status") == "failed":
            return f"Failed: {result.get('errorDescription')}"

    return "Timeout waiting for solution"

Cloudflare Challenge (5s) Solver

python Copy 
import requests
import time
from agno.tools import tool

CAPSOLVER_API_KEY = "YOUR_CAPSOLVER_API_KEY"


@tool
def solve_cloudflare_challenge(website_url: str, proxy: str) -> dict:
    """
    Solves Cloudflare 5-second challenge pages.

    Args:
        website_url: The URL of the protected page
        proxy: Proxy in format: http://user:pass@ip:port

    Returns:
        Dictionary with cookies and user_agent for accessing the protected page
    """
    payload = {
        "clientKey": CAPSOLVER_API_KEY,
        "task": {
            "type": "AntiCloudflareTask",
            "websiteURL": website_url,
            "proxy": proxy
        }
    }

    # Create task
    response = requests.post("https://api.capsolver.com/createTask", json=payload)
    result = response.json()

    if result.get("errorId") != 0:
        return {"error": result.get('errorDescription')}

    task_id = result.get("taskId")

    # Poll for result
    for attempt in range(60):
        time.sleep(3)
        result = requests.post(
            "https://api.capsolver.com/getTaskResult",
            json={"clientKey": CAPSOLVER_API_KEY, "taskId": task_id}
        ).json()

        if result.get("status") == "ready":
            return {
                "cookies": result["solution"]["cookies"],
                "user_agent": result["solution"]["userAgent"]
            }
        if result.get("status") == "failed":
            return {"error": result.get('errorDescription')}

    return {"error": "Timeout waiting for solution"}

Complete Agno Agent Example

Here's a complete example of an Agno agent using CapSolver to handle CAPTCHA challenges:

python Copy 
import os
import requests
import time
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools import tool

# Configuration
CAPSOLVER_API_KEY = "YOUR_CAPSOLVER_API_KEY"
os.environ["OPENAI_API_KEY"] = "YOUR_OPENAI_API_KEY"


@tool
def solve_recaptcha_v2(website_url: str, website_key: str) -> str:
    """
    Solves reCAPTCHA v2 challenges using CapSolver.

    Args:
        website_url: The URL of the website with reCAPTCHA v2
        website_key: The site key (data-sitekey attribute)

    Returns:
        The g-recaptcha-response token or error message
    """
    payload = {
        "clientKey": CAPSOLVER_API_KEY,
        "task": {
            "type": "ReCaptchaV2TaskProxyLess",
            "websiteURL": website_url,
            "websiteKey": website_key
        }
    }

    response = requests.post("https://api.capsolver.com/createTask", json=payload)
    result = response.json()

    if result.get("errorId") != 0:
        return f"Error: {result.get('errorDescription')}"

    task_id = result.get("taskId")

    for _ in range(60):
        time.sleep(2)
        result = requests.post(
            "https://api.capsolver.com/getTaskResult",
            json={"clientKey": CAPSOLVER_API_KEY, "taskId": task_id}
        ).json()

        if result.get("status") == "ready":
            return result["solution"]["gRecaptchaResponse"]
        if result.get("status") == "failed":
            return f"Failed: {result.get('errorDescription')}"

    return "Timeout"


@tool
def solve_turnstile(website_url: str, website_key: str) -> str:
    """
    Solves Cloudflare Turnstile challenges.

    Args:
        website_url: The URL of the website with Turnstile
        website_key: The site key of the Turnstile widget

    Returns:
        The Turnstile token or error message
    """
    payload = {
        "clientKey": CAPSOLVER_API_KEY,
        "task": {
            "type": "AntiTurnstileTaskProxyLess",
            "websiteURL": website_url,
            "websiteKey": website_key
        }
    }

    response = requests.post("https://api.capsolver.com/createTask", json=payload)
    result = response.json()

    if result.get("errorId") != 0:
        return f"Error: {result.get('errorDescription')}"

    task_id = result.get("taskId")

    for _ in range(60):
        time.sleep(2)
        result = requests.post(
            "https://api.capsolver.com/getTaskResult",
            json={"clientKey": CAPSOLVER_API_KEY, "taskId": task_id}
        ).json()

        if result.get("status") == "ready":
            return result["solution"]["token"]
        if result.get("status") == "failed":
            return f"Failed: {result.get('errorDescription')}"

    return "Timeout"


@tool
def check_capsolver_balance() -> str:
    """
    Checks the current CapSolver account balance.

    Returns:
        Current balance information
    """
    response = requests.post(
        "https://api.capsolver.com/getBalance",
        json={"clientKey": CAPSOLVER_API_KEY}
    )
    result = response.json()

    if result.get("errorId") != 0:
        return f"Error: {result.get('errorDescription')}"

    return f"Balance: ${result.get('balance', 0):.4f}"


# Create the Web Scraper Agent
web_scraper_agent = Agent(
    name="Web Scraper Agent",
    model=OpenAIChat(id="gpt-4o"),
    tools=[solve_recaptcha_v2, solve_turnstile, check_capsolver_balance],
    description="Expert web scraper that handles CAPTCHA challenges automatically",
    instructions=[
        "You are a web scraping specialist with CAPTCHA solving capabilities.",
        "When encountering a CAPTCHA, identify the type and use the appropriate solver.",
        "For reCAPTCHA v2, use solve_recaptcha_v2 with the URL and site key.",
        "For Turnstile, use solve_turnstile with the URL and site key.",
        "Always check the balance before starting large scraping jobs."
    ],
    markdown=True
)


def main():
    print("=" * 60)
    print("Agno + CapSolver Integration Demo")
    print("=" * 60)

    # Task: Solve a reCAPTCHA challenge
    task = """
    I need you to solve a reCAPTCHA v2 challenge.

    Website URL: https://www.google.com/recaptcha/api2/demo
    Site Key: 6Le-wvkSAAAAAPBMRTvw0Q4Muexq9bi0DJwx_mJ-

    Please solve this CAPTCHA and report the first 50 characters of the token.
    Also check my CapSolver balance before starting.
    """

    response = web_scraper_agent.run(task)
    print("\nAgent Response:")
    print(response.content)


if __name__ == "__main__":
    main()

Using Agno Teams with CapSolver

Agno supports multi-agent teams. Here's how to create a team with specialized CAPTCHA-solving agents:

python Copy 
from agno.agent import Agent
from agno.team import Team
from agno.models.openai import OpenAIChat
from agno.tools import tool
import requests
import time

CAPSOLVER_API_KEY = "YOUR_CAPSOLVER_API_KEY"


@tool
def solve_any_captcha(
    website_url: str,
    website_key: str,
    captcha_type: str = "ReCaptchaV2TaskProxyLess"
) -> str:
    """Universal CAPTCHA solver supporting multiple types."""
    payload = {
        "clientKey": CAPSOLVER_API_KEY,
        "task": {
            "type": captcha_type,
            "websiteURL": website_url,
            "websiteKey": website_key
        }
    }

    response = requests.post("https://api.capsolver.com/createTask", json=payload)
    result = response.json()

    if result.get("errorId") != 0:
        return f"Error: {result.get('errorDescription')}"

    task_id = result.get("taskId")

    for _ in range(60):
        time.sleep(2)
        result = requests.post(
            "https://api.capsolver.com/getTaskResult",
            json={"clientKey": CAPSOLVER_API_KEY, "taskId": task_id}
        ).json()

        if result.get("status") == "ready":
            solution = result.get("solution", {})
            return solution.get("gRecaptchaResponse") or solution.get("token")
        if result.get("status") == "failed":
            return f"Failed: {result.get('errorDescription')}"

    return "Timeout"


# CAPTCHA Specialist Agent
captcha_agent = Agent(
    name="CAPTCHA Specialist",
    model=OpenAIChat(id="gpt-4o"),
    tools=[solve_any_captcha],
    description="Expert at identifying and solving various CAPTCHA types",
    instructions=[
        "Identify the CAPTCHA type from page analysis",
        "Use appropriate solver with correct parameters",
        "Report success or failure clearly"
    ]
)

# Data Extraction Agent
data_agent = Agent(
    name="Data Extractor",
    model=OpenAIChat(id="gpt-4o"),
    description="Extracts and processes data from web pages",
    instructions=[
        "Extract structured data from HTML content",
        "Request CAPTCHA solving when needed",
        "Validate and clean extracted data"
    ]
)

# Create the team
scraping_team = Team(
    name="Web Scraping Team",
    agents=[captcha_agent, data_agent],
    description="Team specialized in web scraping with CAPTCHA handling"
)

How to Submit CAPTCHA Tokens

Each CAPTCHA type requires a different submission method:

reCAPTCHA v2/v3 - Token Injection

python Copy 
from selenium import webdriver
from selenium.webdriver.common.by import By

def submit_recaptcha_token(driver, token: str):
    """Inject reCAPTCHA token and submit"""
    recaptcha_response = driver.find_element(By.ID, "g-recaptcha-response")
    driver.execute_script("arguments[0].style.display = 'block';", recaptcha_response)
    recaptcha_response.clear()
    recaptcha_response.send_keys(token)

    form = driver.find_element(By.TAG_NAME, "form")
    form.submit()

Turnstile - Token Injection

python Copy 
def submit_turnstile_token(driver, token: str):
    """Inject Turnstile token and submit"""
    turnstile_input = driver.find_element(By.NAME, "cf-turnstile-response")
    driver.execute_script("arguments[0].value = arguments[1];", turnstile_input, token)

    form = driver.find_element(By.TAG_NAME, "form")
    form.submit()

Cloudflare Challenge - Use Cookies

python Copy 
import requests

def access_cloudflare_protected_page(url: str, cf_solution: dict):
    """Use Cloudflare Challenge solution to access protected page."""
    session = requests.Session()

    for cookie in cf_solution["cookies"]:
        session.cookies.set(cookie["name"], cookie["value"])

    headers = {"User-Agent": cf_solution["user_agent"]}

    response = session.get(url, headers=headers)
    return response.text

Best Practices

1. Error Handling with Retries

python Copy 
from agno.tools import tool
import time

@tool
def solve_with_retry(
    website_url: str,
    website_key: str,
    max_retries: int = 3
) -> str:
    """Solve CAPTCHA with automatic retry on failure."""
    for attempt in range(max_retries):
        try:
            result = solve_recaptcha_v2(website_url, website_key)
            if not result.startswith("Error") and not result.startswith("Failed"):
                return result
        except Exception as e:
            if attempt == max_retries - 1:
                return f"All retries failed: {str(e)}"
        time.sleep(2 ** attempt)  # Exponential backoff

    return "Max retries exceeded"

2. Balance Management

python Copy 
@tool
def check_balance() -> float:
    """Check CapSolver account balance."""
    response = requests.post(
        "https://api.capsolver.com/getBalance",
        json={"clientKey": CAPSOLVER_API_KEY}
    )
    return response.json().get("balance", 0)

3. Async Support

Agno supports async operations for better performance:

python Copy 
import asyncio
import aiohttp
from agno.tools import tool

@tool
async def solve_captcha_async(website_url: str, website_key: str) -> str:
    """Async CAPTCHA solver for better concurrency."""
    async with aiohttp.ClientSession() as session:
        payload = {
            "clientKey": CAPSOLVER_API_KEY,
            "task": {
                "type": "ReCaptchaV2TaskProxyLess",
                "websiteURL": website_url,
                "websiteKey": website_key
            }
        }

        async with session.post(
            "https://api.capsolver.com/createTask",
            json=payload
        ) as response:
            result = await response.json()

        if result.get("errorId") != 0:
            return f"Error: {result.get('errorDescription')}"

        task_id = result.get("taskId")

        for _ in range(60):
            await asyncio.sleep(2)

            async with session.post(
                "https://api.capsolver.com/getTaskResult",
                json={"clientKey": CAPSOLVER_API_KEY, "taskId": task_id}
            ) as response:
                result = await response.json()

            if result.get("status") == "ready":
                solution = result.get("solution", {})
                return solution.get("gRecaptchaResponse") or solution.get("token")
            if result.get("status") == "failed":
                return f"Failed: {result.get('errorDescription')}"

        return "Timeout"

Conclusion

Integrating CapSolver with Agno unlocks the full potential of autonomous AI agents for web-based tasks. By combining Agno's lightning-fast, privacy-first multi-agent orchestration with CapSolver's industry-leading CAPTCHA solving capabilities, developers can build robust automation solutions that handle even the most challenging web protection mechanisms.

Whether you're building data extraction pipelines, automated testing frameworks, or intelligent web agents, the Agno + CapSolver combination provides the speed, reliability, and scalability needed for production environments.

Ready to get started? Sign up for CapSolver and use bonus code AGNO for an extra 6% bonus on your first recharge!

FAQ

What is Agno?

Agno is a multi-agent framework, runtime, and control plane for building AI products. It's 529× faster than LangGraph with 24× lower memory usage, and runs entirely in your infrastructure for maximum privacy.

How does CapSolver integrate with Agno?

CapSolver integrates with Agno through custom tools decorated with @tool. You create functions that wrap the CapSolver API, allowing your AI agents to automatically solve CAPTCHA challenges when they encounter them during web operations.

What types of CAPTCHAs can CapSolver solve?

CapSolver supports a wide range of CAPTCHA types including reCAPTCHA v2, reCAPTCHA v3, Cloudflare Turnstile, Cloudflare Challenge, AWS WAF, GeeTest, and many more.

How much does CapSolver cost?

CapSolver offers competitive pricing based on the type and volume of CAPTCHAs solved. Visit capsolver.com for current pricing details. Use code AGNO for a 5% bonus on your first recharge.

Can I use Agno with different LLM providers?

Yes! Agno is model-agnostic and supports 50+ model providers including OpenAI, Anthropic Claude, Google Gemini, Groq, and many others.

Is Agno free to use?

Yes, Agno is open-source and released under the MIT license. The framework is free to use, though you may incur costs for LLM API calls and CAPTCHA solving services like CapSolver.

How do I find the CAPTCHA site key?

The site key is typically found in the page's HTML source. Look for:

  • reCAPTCHA: data-sitekey attribute or grecaptcha.render() call
  • Turnstile: data-sitekey attribute in the Turnstile widget

Compliance Disclaimer: The information provided on this blog is for informational purposes only. CapSolver is committed to compliance with all applicable laws and regulations. The use of the CapSolver network for illegal, fraudulent, or abusive activities is strictly prohibited and will be investigated. Our captcha-solving solutions enhance user experience while ensuring 100% compliance in helping solve captcha difficulties during public data crawling. We encourage responsible use of our services. For more information, please visit our Terms of Service and Privacy Policy.

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The Best AI Scraping Tools You Must Know in 2026
The Best AI Scraping Tools You Must Know in 2026

Discover the Best AI Scraping tool options for 2026. We compare top AI web scraping tools, including Bright Data, Crawl4AI, and Browse AI, with specific pricing to help you master automated data extraction and security challenge resolution.

web scraping
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Emma Foster

07-Jan-2026