Complete Youtube

For YouTube, this automated workflow helps creators discover trending videos in their niche by analyzing recent content. It provides insights on view counts, likes, and comments, enabling users to understand current trends and enhance their content strategy effectively.

7/8/2025
15 nodes
Complex
manualcomplexlangchainsticky noteyoutubesplitinbatchesadvancedapiintegrationlogicconditional
Categories:
Complex WorkflowManual TriggeredCreative Content & Video Automation
Integrations:
LangChainSticky NoteYouTubeSplitInBatches

Target Audience

  • YouTube Creators: Those looking to identify trending topics in their niche to produce relevant content.
    - Digital Marketers: Professionals who want to stay updated on the latest trends and topics in their industry.
    - Content Strategists: Individuals responsible for planning and curating content that resonates with audiences.
    - Social Media Managers: People managing social media accounts seeking to leverage trending videos for engagement.
    - Video Editors: Creators who need to know what types of videos are gaining traction to enhance their editing style and approach.

    • Problem Solved

  • This workflow addresses the challenge of discovering trending video content on YouTube that aligns with specific niches. It automates the process of searching for relevant videos, analyzing their performance metrics (like view count, like count, and comment count), and providing insights on what content is currently popular. This helps creators and marketers make informed decisions on content creation and strategy.

    • Workflow Steps

  • Trigger: The workflow is initiated manually by the user.
    - AI Agent: The user is prompted to specify their niche. If not provided, the AI suggests options.
    - YouTube Search: The AI uses the specified niche to perform up to 3 searches on YouTube for trending videos published in the last 2 days.
    - Data Retrieval: For each video found, the workflow retrieves detailed metrics including view count, like count, comment count, and video description.
    - Data Analysis: The workflow analyzes the retrieved data to identify patterns in tags, titles, and content.
    - Response Generation: The AI compiles a summary of trending content, highlighting key metrics and providing links to videos and channels.
    - Memory Storage: The workflow saves the analyzed data for future reference, ensuring a streamlined process for subsequent executions.

    • Customization Guide

  • Users can modify the niche suggestions provided by the AI to better fit their target audience.
    - The search parameters for YouTube can be adjusted, such as changing the region code or the time frame for trending videos.
    - Users can enhance the AI Agent's system message to refine the type of insights they wish to receive, focusing on specific metrics or data points.
    - The workflow can be expanded by integrating additional tools or nodes to include more detailed analysis or reporting features.