Convert YouTube Videos to SEO Articles with Supadata, Claude Sonnet 4 and WordPress
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Pavlo Hurhu
Description
Problem This Solves
Content creators, digital marketers, and website owners struggle with the time-consuming process of creating fresh, SEO-optimized blog content consistently. Manually writing articles, researching keywords, and maintaining a regular publishing schedule can take hours per piece of content.
Target Audience
This workflow is perfect for:
Bloggers and Content Creators** who want to repurpose video content into written articles
Content Marketing Agencies** managing multiple client websites
Digital Marketing Teams** looking to scale their content production
Small Business Owners* who need *regular blog content** but lack time or writing resources
SEO Specialists** seeking to maximize content output while maintaining quality
YouTube Channel Owners** who want to expand their content reach across different platforms
What This Workflow Does
This n8n automation transforms popular YouTube videos into high-quality, SEO-optimized articles that appear completely human-written. The workflow intelligently selects trending content from your chosen YouTube channels, transcribes the videos, and uses advanced AI to craft engaging articles optimized for search engines.
How it works
The user selects YouTube channels from which the workflow retrieves the most popular videos.
The videos are transcribed and converted into SEO-optimized articles.
Generated articles are automatically published to your WordPress website.
Set up steps
Connect your Google Account to all YouTube nodes.
Integrate your Supadata account.
Customize White-labeled prompt in the 'Compose Article' node according to your brand.
Configure the 'Create WordPress Post' node with your WordPress website API.
Set your target YouTube channels and activate the workflow.
Detailed instructions and tutorials can be found in the workflow's sticky notes.
Requirements
Google account.
supadata.ai account (used for video transcription).
Anthropic subscription (GPT models are also supported, but I personally recommend using Anthropic Claude Sonnet 4 for text generation).