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The YouTube Title & Description node extracts the title and description from any publicly accessible YouTube video. Use this step when you need structured metadata for analysis, summarization, competitive research, or to feed into downstream LLM Agents. This node provides a clean, text-based output containing both fields, making it easy to integrate YouTube content into broader research or automation pipelines. title and des.png
Check out Getting started with Agents to learn how to add this node to an Agent.

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When to use this node

Use YouTube Title & Description for tasks such as:
  • Analyzing how competitors position and describe video content
  • Generating summaries, rewrites, or metadata optimizations using LLMs
  • Pulling YouTube context into AEO, SEO, or content strategy Agents
  • Extracting structured information before running additional transformations

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Node configuration

Selecting the YouTube Title & Description node opens its configuration panel on the right side of the Agent Builder.

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YouTube video URL (required)

Enter the URL of the YouTube video you want to extract data from. You can:
  • Paste a direct YouTube watch URL
  • Insert a variable from earlier Agent steps by typing /
Supported formats include typical watch URLs such as:
https://www.youtube.com/watch?v=VIDEO_ID

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Output Label

Provide a descriptive label for the output generated by this step. The label becomes the variable name that downstream steps reference. Examples:
  • youtube_metadata
  • video_info
  • yt_title_description

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Output

This node returns a text output containing:
  • Video title
  • Video description
The output can be passed into:
  • Prompt LLM steps (for summarization, rewriting, tone analysis, etc.)
  • Content comparison Agents
  • Metadata optimization pipelines
  • Any downstream step requiring structured text

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Example usage

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1. Analyze a competitor video description

  1. Add a YouTube Title & Description step with a competitor video link.
  2. Add a Prompt LLM step to interpret the content:

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2. Rewrite metadata for optimization

  1. Add an Agent input called video_url.
  2. Use YouTube Title & Description with video_url.
  3. Pass the output into a Prompt LLM node:

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Best practices

  • Ensure the video URL is publicly available; private or restricted videos cannot be accessed.
  • Use descriptive output labels to keep Agents clear, especially when working with multiple videos.
  • Combine with the YouTube Video Transcript node for deeper semantic analysis of video content.

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Troubleshooting

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The node returns no data

Verify that the YouTube URL is valid and not restricted or private.

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The output includes unexpected formatting

Use a Prompt LLM step to clean or reformat the extracted text as needed.

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Variables do not resolve when used as the URL

Insert variables by typing / and selecting from the available options in the picker.