Automated YouTube Content Analysis Workflow

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This n8n workflow automates the extraction and analysis of data from YouTube videos to assist content creators in understanding their audience, optimizing videos, and generating engaging content. It integrates API services such as Google Cloud, Apify, OpenAI, and YouTube Data API to perform multiple tasks including video and comment analysis, transcription, thumbnail evaluation, and channel details retrieval.

The workflow starts with a webhook trigger that listens for user requests or chat inputs. Based on commands, the workflow dynamically switches tasks, such as fetching channel details, retrieving video descriptions, collecting comments, or searching for videos. Nodes responsible for API calls use authentication credentials to communicate with YouTube and other services.

Key nodes include:

– ‘Get Channel Details’ for retrieving channel metadata.

– ‘Get Video Description’ for fetching detailed info on videos.

– ‘Get List of Videos’ and ‘Get Videos by Channel’ for gathering a list of videos for analysis.

– ‘Get List of Comments’ to extract viewer feedback.

– ‘video_transcription’ to convert spoken content into text.

– ‘analyze_thumbnail’ to generate insights on video thumbnails.

– ‘OpenAI’ and ‘AI Agent’ nodes utilizing language models for content and image analysis.

This automated process allows content creators to perform detailed content audits, optimize thumbnails, analyze comments for audience sentiment, and gather insights from video transcriptions, all in a streamlined manner. It is ideal for YouTube channels aiming to enhance engagement and understand viewer preferences through automated data analysis.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.toolWorkflow, executeWorkflowTrigger, httpRequest, set, stickyNote, switch

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