Automating reCAPTCHA Bypass with Selenium and Captcha Solvers

Efficiently Solving reCAPTCHA Challenges Using Selenium

This guide provides a detailed walkthrough for bypassing Google reCAPTCHA challenges using Selenium and automated captcha-solving solutions.

You can read original article here - How to automatically solve and bypass reCAPTCHA using Selenium and Auto Captcha Filler

Learn the steps to seamlessly automate solving image-based reCAPTCHA tasks through Selenium and third-party captcha-solving APIs in this tutorial.

Automating CAPTCHA Handling with Selenium and Grid-Based Methods

This article outlines the process for bypassing image-based reCAPTCHA challenges (e.g., 3x3 or 4x4 grids) by combining Selenium with the 2Captcha service.

Here’s how the script operates:

1. Challenge Detection: Identifies the reCAPTCHA widget on the target webpage.

2. Data Collection: Retrieves necessary CAPTCHA parameters and images.

3. External Solving: Sends the extracted data to the captcha solver API for processing and receives the solution.

4. Interaction Simulation: Simulates user behavior by clicking or submitting the solution to reCAPTCHA, bypassing detection systems.

This method fully automates the bypassing process, streamlining CAPTCHA handling for web automation tasks.

Setting Up the Environment

Clone the Repository

git clone git@github.com/2captcha/selenium-recaptcha-solver-using-grid.git  
cd selenium-recaptcha-solver-using-grid  

Install Dependencies

pip install -r requirements.txt 

Run the Script

python main.py

Configuration Guide

To activate the script, set your 2Captcha API key as an environment variable:

export APIKEY=your_api_key  

How the Solution Works

1. Data Extraction: The script retrieves the CAPTCHA challenge and relevant parameters programmatically.

2. API Communication: Sends the image data to a third-party solver using the grid method to identify target areas.

3. User Interaction Simulation: Selenium clicks the appropriate areas based on the solver’s response and verifies the solution.

Example of CAPTCHA Extraction Output:

{  
  "rows": 3,  
  "columns": 3,  
  "type": "GridTask",  
  "comment": "Select all images with crosswalks. Click verify once there are none left.",  
  "body": "XXXXXXXX"  
}  

Example of Solver Response:

{  
  "status": 1,  
  "data": "click:3/6/8",  
  "id": "XXXXXXXX"  
}  

Here, click:3/6/8 specifies the grid cells to click, starting from the top-left and proceeding row by row.

Key Features

• Selenium WebDriver Integration: Handles browser-based CAPTCHA interactions.

• 2Captcha API Usage: Solves complex image challenges efficiently.

• Support for Grid Variants: Works with both 3x3 and 4x4 reCAPTCHA grids.

• Error Handling Mechanisms: Manages CAPTCHA failures and retries.

Advantages:

• Bypasses direct token management by leveraging visual interactions.

• Simplifies CAPTCHA handling with built-in reCAPTCHA validation.

Challenges:

• Relies on Selenium for browser automation, which requires additional resources.

• The cost and solving time depend on CAPTCHA complexity.

Error Handling

1. Unsolvable CAPTCHAs: Some challenges may be too complex for solvers. Add retry or escalation mechanisms to handle these scenarios.

2. Rate Limiting: ReCAPTCHA may block repeated requests from the same IP. Mitigate this by switching IPs or pausing before retrying.

For those working with JavaScript, a similar repository demonstrates how to automate CAPTCHA handling with Puppeteer: [reCAPTCHA Solver Using 2Captcha and Puppeteer].