Healthcare Company Cracks Captcha Chaos with AskUI Automation

September 18, 2024
linkedin icontwitter icon

A Healthcare Company, a rapidly expanding pharmacy specializing in same-day prescription delivery, has a challenge to solve: automated captcha checks were hindering their data collection efforts. These security measures, while crucial, introduced a bottleneck for the team. Manual captcha resolution proved time-consuming and prone to errors, resulting in adding additional steps to the final data extraction.

Solution: Leveraging AskUI and OpenAI for Intelligent Automation

A Healthcare Company collaborated with AskUI to develop a tailored automation solution combining the capabilities of OpenAI's language models. This solution targeted two primary areas:

  • Captcha Resolution: OpenAI's language models provided context and comprehension to solve even the most intricate captchas. In combination with the AskUI's model, this enabled efficient resolution of text-based captchas.
  • Optimized User Flows: AskUI seamlessly navigated to their website, automating tasks like file downloads, button clicks, and pop-up closures. This ensured smooth and continuous data collection, even with dynamic website elements.

Impact: Enhanced Efficiency and Data Integrity

The AskUI automation solution yielded substantial benefits:

  • Efficiency Gains: Data collection processes experienced an 80% acceleration, allowing the team to dedicate more time to analysis and strategic decision-making.
  • Improved Accuracy: The automation eliminated human errors associated with manual captcha solving, guaranteeing the reliability and integrity of collected data.
  • Scalability: They can now effortlessly scale its data collection operations to accommodate future growth and evolving business requirements.

The flowchart outlines a process for automating CAPTCHA validation using a combination of screenshots, an AI tool (like OpenAI), and a maximum retry counter. Here’s a summary:

  1. Start and Website Access:
    • The process begins by accessing a website using a browser.
  2. Screenshot Capture:
    • A screenshot of the CAPTCHA is taken and sent to OpenAI.
  3. AI CAPTCHA Extraction:
    • OpenAI is prompted to extract and return the CAPTCHA value from the screenshot.
  4. CAPTCHA Submission:
    • The CAPTCHA value returned by OpenAI is sent back to an automated tool, which attempts to log in using the provided credentials.
  5. Retry Logic:
    • A counter is initialized to track the number of login attempts.
    • If the login fails, the counter increments by one.
  6. Maximum Attempts:
    • The process checks if the maximum number of attempts (3) has been reached.
    • If the maximum is not reached, the flow loops back to take a new screenshot and retry the CAPTCHA validation.
  7. Success or Failure:
    • If the login is successful, the process is completed.
    • If the maximum number of attempts is reached without success, an error message is returned: "CAPTCHA validation failed after maximum attempts."

This flow ensures an automated way to handle CAPTCHA challenges with a fallback for failed attempts.

Ron van Cann
·
September 18, 2024
On this page