Automated YouTube Transcript Analysis and Summary Workflow

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This n8n workflow automates the process of analyzing YouTube videos by extracting their transcripts, generating structured summaries, and sharing insights via Webhook response and Telegram. Its primary goal is to facilitate content analysis, making it easier to understand and share key video information automatically.

The workflow begins with an HTTP Webhook trigger set to listen for incoming POST requests on the ‘ytube’ endpoint. When activated, it captures the YouTube URL provided in the request. The URL then passes through a series of nodes that process and analyze the video:

1. ‘Get YouTube URL’ node extracts and assigns the URL from the request.

2. ‘YouTube Video ID’ uses a JavaScript function to parse and extract the unique video ID from the URL.

3. ‘Get YouTube Video’ fetches detailed information about the video, including its title, description, and snippet data.

4. ‘Split Out’ separates the transcript text extracted from the video.

5. ‘Concatenate’ joins the transcript segments into a single text block.

6. ‘Summarize’ uses an AI language model to create a concise summary of the transcript.

7. ‘Summarize & Analyze Transcript’ further processes the transcript, breaking down content into main topics and points with detailed analytic prompts.

Finally, the workflow sends back the processed data:

– A response to the webhook with key information.

– A message via Telegram containing the video title and URL.

This automation is highly useful for content creators, researchers, and social media managers who want to quickly analyze and share YouTube content insights without manual effort, streamlining content curation and understanding.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, n8n-nodes-youtube-transcription.youtubeTranscripter, respondToWebhook, set, splitOut, summarize, telegram, webhook, youTube

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