Sticky Note Automate

Sticky Note Automate streamlines content creation by extracting insights from YouTube videos and comments. This workflow automates video transcription, comment analysis, and thumbnail evaluation, enabling users to generate engaging content efficiently. By integrating various APIs, it simplifies the process of gathering audience insights, helping creators optimize their videos for better viewer engagement.

7/8/2025
29 nodes
Complex
manualcomplexsticky notelangchainexecuteworkflowtriggeradvanceddatabasedataapiintegrationlogicrouting
Categories:
Complex WorkflowManual TriggeredBusiness Process Automation
Integrations:
Sticky NoteLangChainExecuteWorkflowTrigger

Target Audience

This workflow is designed for:
- Content Creators: Those who produce videos on platforms like YouTube and want to enhance their content strategy based on audience insights.
- Digital Marketers: Professionals looking to optimize video marketing campaigns through data-driven decisions.
- YouTube Analysts: Individuals or teams responsible for analyzing video performance metrics and audience engagement.
- Developers: Those interested in integrating YouTube API functionalities into their applications or workflows for automated insights extraction.

Problem Solved

This workflow addresses the challenge of generating meaningful insights from YouTube videos and comments. It automates the process of:
- Extracting user preferences from comments,
- Transcribing video content for better understanding,
- Analyzing thumbnails to enhance viewer engagement,
- Overall, it simplifies the complexity of content generation and optimization by providing actionable insights.

Workflow Steps

  • Trigger: The workflow is manually triggered when a chat message is received.
    2. Command Processing: It uses a switch node to determine the command type (e.g., get channel details, video details, comments, etc.).
    3. API Requests: Depending on the command, it sends requests to the YouTube API to fetch channel details, video descriptions, comments, and lists of videos.
    4. Data Processing: The workflow processes the API responses, formatting the data for easy interpretation. For example, it compiles comments and replies into a structured format.
    5. AI Integration: It utilizes AI models to analyze thumbnails and provide insights based on user-defined prompts.
    6. Response Generation: Finally, the processed data is sent back as a response, providing the user with the requested insights or actions.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying API Keys: Replace the credentials in the nodes to connect to your own YouTube, OpenAI, and Apify accounts.
    - Adjusting Parameters: Change parameters in the HTTP request nodes to tailor the data retrieved (e.g., number of videos, sorting order).
    - Adding New Commands: Extend the functionality by adding new commands in the switch node to handle additional API requests or processes.
    - Customizing AI Prompts: Modify the prompts used in the AI analysis nodes to suit specific content analysis needs.