Execute Sub-Automations via HTTP API Call

### Set up steps

1. **API Setup**:
 - Create a [Google Cloud]({{ $env.API_BASE_URL }} project and enable the YouTube Data API.
 - Generate an API key for [Apify]({{ $env.API_BASE_URL }}
 - Generate API key for [OpenAI]({{ $env.WEBHOOK_URL }}
 - Create all credentials in N8N - OpenAI, Apify, Google Cloud.

2. **YouTube Creator and Video Selection**:
 - Start by defining a request to identify top creators based on their video views.
 - Capture the YouTube video IDs for further analysis of comments and other video metrics.

3. **Comment Analysis**:
 - Gather comments associated with the selected videos and analyze them for user insights.
 - Implement pagination to handle the maximum comment retrieval limits in API requests.

4. **Video Transcription**:
 - Request transcriptions for videos of interest, ensuring to manage potential costs associated with longer video processing.
 - Utilize the insights from transcriptions to formulate content plans.

5. **Thumbnail Analysis**:
 - Evaluate your video thumbnails by submitting the URL through the OpenAI API to gain insights into their effectiveness.

6. **Data Management**:
 - Incorporate a database agent to organize video data and metrics, allowing efficient record management and future content planning.