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:
- Start and Website Access:
- The process begins by accessing a website using a browser.
- Screenshot Capture:
- A screenshot of the CAPTCHA is taken and sent to OpenAI.
- AI CAPTCHA Extraction:
- OpenAI is prompted to extract and return the CAPTCHA value from the screenshot.
- CAPTCHA Submission:
- The CAPTCHA value returned by OpenAI is sent back to an automated tool, which attempts to log in using the provided credentials.
- Retry Logic:
- A counter is initialized to track the number of login attempts.
- If the login fails, the counter increments by one.
- 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.
- 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.
