OpFundAI7 (NOW DEPRECATED)

Developed in November 2023

A fully automated Python system for managing YouTube and social media workflows using APIs, scraping, and automation. Designed for continuous content generation with minimal input.

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Status

This project is deprecated and no longer maintained.
It was built as an experimental automation system and may not work with current APIs.

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Features

• Automated Content Pipeline
  End-to-end system that scrapes, processes, uploads, and cleans up video content

• Continuous Execution Loop
  Runs indefinitely with scheduled delays and automation cycles

• YouTube API Integration
  Uploads videos using the YouTube Data API (v3)

• Web Scraping System
  Fetches recent content from public channels

• UI Automation (PyAutoGUI)
  Automates browser interactions where APIs are limited

• Cloud-Ready Design
  Intended for 24/7 execution on remote machines

• Webhook Integration
  Sends files and updates to external services

• Automatic Cleanup System
  Deletes processed files to maintain storage efficiency

• Self-Installing Dependencies
  Attempts to install required Python packages if missing

• Error Handling & Resilience
  Basic handling for API limits and connectivity issues

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Experimental Features

• Partial support for:
  • Instagram uploads
  • TikTok uploads
  • Facebook uploads
  • Kick uploads

(Not fully implemented)

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Example Use Case

Automated Clips-Based Content Channel

OpFundAI7 can be used to build a semi-automated content pipeline for short-form or clips-based media channels.

For example, a creator could:

1. Source Content
   Automatically fetch videos from selected public channels (e.g. podcasts, interviews, news)

2. Process & Clip Content
   Send long-form videos to external services (such as OpusClip) to generate short clips

3. Enhance Metadata
   Automatically generate:

   • Titles
   • Descriptions
   • Tags & hashtags
   • SEO-optimized metadata

4. Distribute Content
   Upload clips to one or multiple platforms in bulk

5. Automate Workflow
   Handle scheduling, uploading, cleanup, and error handling with minimal input

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Important Note

This project is intended for educational and experimental purposes.

Users are responsible for ensuring they have the rights to use, modify, and redistribute any content processed through this system, and must comply with platform policies and copyright laws.

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Project Structure

• App.py – main entry point
• Scraper.py – handles data scraping
• UploadVideos.py – manages video uploads
• OpusClip.py – content processing logic
• Google.py – Google API integration
• Alert.py – logging and alerts
• HookSniffer.py – additional automation logic

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Setup & Configuration

Required Credentials

BrowseAI

https://www.browse.ai/

• Project Name: OpFundAI
• Robot ID: YOUR-ROBOT-ID
• Monitor ID: YOUR-MONITOR-ID (optional)
• API Key: YOUR-API-KEY
• Webhook: YOUR-WEBHOOK-URL (optional, used for logging/testing)

Google / YouTube API

https://developers.google.com/youtube/v3

• Project Name: OpFundAI
• Project ID: YOUR-PROJECT-ID
• Project Number: YOUR-PROJECT-NUMBER
• Client ID: YOUR-CLIENT-ID
• YouTube API Key: YOUR-YOUTUBE-API-KEY
• JSON File: Youtube.json

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Environment Setup

This project is designed to run on a cloud machine.

Recommended providers:

• Linode
• Google Cloud

Installation

Ensure Python is installed on your system.

Install dependencies: pip install -r Assets/Packaged.txt

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Configuration Steps

1. Edit Core Modules
   Open the following files and replace placeholder logic with your own:

   • OpusClip.py
   • Scraper.py
   • UploadVideos.py

2. Set Up YouTube Credentials

   • Generate your Client ID via Google Cloud
   • Download the JSON file provided
   • Rename it to:

     Youtube.json
     

   • Place it inside the /Assets directory

3. Browser Configuration (Cloud Machine)

   • Ensure the browser is up to date
   • Set the downloads directory to:

     OpFundAI7/Videos
     

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Running the Project

Start the automation system by running: python App.py

Modify any part of the system as needed. The project is designed to be flexible and customizable.

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Development Notes / Future Ideas

• Planned built-in video editing system
• Potential integration of trending audio (e.g. TikTok scraping)
• Randomised visual effects added to videos
• Possible rewrite in a lower-level language (C, Lua, or Java)
• Future configs.json system for easier configuration
• Potential GUI tool for managing the bot

Author

Developed by Zayd O'Donovan

OpFundAI7 was originally created in November 2023 as an experimental automation project focused on building a fully autonomous content pipeline using APIs, scraping, and cloud execution.

The project was developed as part of early exploration into:

• Automation systems
• API integration
• Content pipelines
• Long-running processes

Original Concept

OpFundAI7 was designed around a modular pipeline:

• OpusClip Module
  Utility functions for file handling, system operations, and connectivity checks

• Scraper Module
  Scrapes random YouTube channels

• UploadVideos Module
  Handles uploads, webhook delivery, and file cleanup

• App.py
  Controls the automation loop, scheduling, and error handling

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License

This project is licensed under the MIT License.