Automated Opt-Out Software for People Search Websites – .NET Development

Technologies Used

• C# Background Service Application – Core automation engine.
• MongoDB – Stores request history and client records.
• Controlled Web Browser – Automates form submission.
• Official API Calls – Uses direct API requests where available.
• Web Request Emulation – Mimics human interaction for non-API sites.
• Email & SMS Verification – Confirms client requests.
• CAPTCHA Bypass – Automates solving of verification challenges.

Introduction

In the digital era, privacy concerns are increasing as personal data is collected and shared across people search websites. Manually requesting removal from such databases can be tedious and time-consuming. To address this, we developed an automated C# background service that submits opt-out requests, verifies identities, and ensures compliance with U.S. privacy regulations.

Project Overview

Our .NET development project automates the removal of client records from public databases. It:

• Navigates and submits opt-out forms across multiple sites.
• Uses various submission methods, including official APIs and web request emulation.
• Handles identity verification via email and SMS confirmation.
• Bypasses CAPTCHA challenges for seamless automation.

Implementation

1. C# Background Service for Automated Requests

• Runs as a Windows or Linux background service.
• Operates continuously to monitor and process new client removal requests.
• Logs request statuses and responses in MongoDB for tracking.

2. Multi-Method Submission for Maximum Coverage

• Official API Calls – Uses direct API endpoints where available.
• Controlled Web Browser – Automates form filling and submission.
• C# Web Request Emulation – Mocks manual submissions for non-automated sites.

3. Identity Verification & CAPTCHA Handling

• Email Confirmation – Automates verification when email approval is required.
• Phone Verification – Supports SMS-based authentication.
• CAPTCHA Bypass – Uses AI-based solving techniques where necessary.

Results & Benefits

• Automated opt-out process saves time and effort.
• Ensures compliance with privacy laws and website policies.
• Scales efficiently to handle multiple removal requests.
• Securely stores client requests in MongoDB for tracking.

Conclusion

This .NET development project demonstrates how automation can streamline privacy protection. By integrating C#, MongoDB, and automated web interactions, we built a powerful solution that efficiently removes clients from people search databases.

Need an advanced .NET development solution for privacy automation? Contact GoodGuySoft today!