Extract high-engagement YouTube keyword trends for content strategy

📊 YouTube Trends Workflow in n8n

🎯 Goal of the Workflow

This workflow fetches the most popular YouTube videos in Germany and transforms them into a clean list of trending hashtags/keywords.
It’s not just raw data – it highlights qualitative insights about which topics and keywords drive real engagement.

Useful for:

• Content creators & marketers → quick inspiration for viral topics
• SEO/hashtag research → discover high-performing keywords
• Social media teams → automated trend reporting

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⚙️ How It Works – Step by Step

1. Trigger

• Node: Manual Trigger
• Entry point of the workflow.
  → Can later be replaced with a Cron or Webhook trigger to run automatically.

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2. API Call – YouTube

• Node: HTTP Request
• Calls the YouTube Data API v3 with:
  • chart=mostPopular
  • regionCode=DE
  • maxResults=50
• Returns a list of trending videos in Germany, including title, channel, views, likes, comments, and tags.

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3. Split Items

• Node: Split Out
• Splits the API response (items[]) into individual items, so each video is processed separately.

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4. Context & KPIs

• Node: Set
• Extracts key fields:
  • title, channel, publishedAt
  • views, likes, comments
• Calculates:
  • engagementRate = (likes + comments) / (views + 1)

Why?
Looking at views alone is misleading. Engagement rate reveals which videos truly resonate with the audience.

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5. Ranking & Limit

• Node: Item Lists
• Sorts videos by highest engagement rate (descending).
• Limits results to the Top 20 videos.

Why?
This reduces noise and focuses only on the most relevant trends.

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6. Collect Tags

• Node: Aggregate
• Collects all snippet.tags from the top videos.
• Merges them into a single keyword list.

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7. Keyword Summary

• Node: Summarize
• Concatenates all collected tags into one string.

Result:
A compact hashtag/keyword list → ready to use for:

• Content ideas
• SEO/hashtag strategies
• Social media planning

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📈 Why This Workflow Is Useful

• Automated trend analysis: no need to manually browse YouTube.
• Quality focus: uses engagement rate, not just views.
• Reusable: results can be:
  • stored in Google Sheets or Airtable,
  • sent to Slack/Telegram,
  • or used in a dashboard.

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🚀 Possible Extensions

• Cron Trigger → run daily for automated reports.
• Notifier → send results directly to Slack, Discord, or Telegram.
• Storage → save trends in a database for historical analysis.
• AI Node → use GPT to summarize trends into “3 key insights of the day.”

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✅ Conclusion

With a few smartly combined nodes, this workflow:

• fetches external API data (YouTube),
• cleans and enriches it,
• calculates qualitative KPIs,
• and delivers actionable trend insights.

Perfect as a community showcase or a practical tool for creators and marketers.