Templates / Find top-performing Instagram Reels & save insights to Notion with Gemini & Apify

Find top-performing Instagram Reels & save insights to Notion with Gemini & Apify

Unknown

by Eugene Green · 12,642 views · created 2025-07-08 · Market Research, AI Summarization

Unknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.

What this workflow does

This workflow has 29 nodes and runs on a schedule (every day at 04:00) (plus 1 other trigger). Along the way it connects Notion and Apify (community). It also calls generativelanguage.googleapis.com over HTTP.

How it runs

Trigger: On a schedule (every day at 04:00) (plus 1 other trigger).

  1. Variables (Code): runs custom JavaScript code
  2. Get Sources (Notion): get many (database page)
  3. Apify Payload (Code): runs custom JavaScript code
  4. Run an Actor (Apify): run actor
  5. Get Status (Apify): get run (actor runs)
  6. Switch: routes items into 3 branches
  7. Get dataset items (Apify): get items (datasets)
  8. Wait: waits 1 minutes
  9. Map Reels (Code): runs custom JavaScript code
  10. Owner? (If): checks a condition and branches into true / false

…plus 17 more steps. See the full node list below.

Services it uses

NotionApify (community)

HTTP calls to: generativelanguage.googleapis.com

Before you upgrade to n8n 3.0

We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).

  • Check that @apify/n8n-nodes-apify is verified or supports 3.0 (used in Get dataset items, Get Status, Run an Actor).

Nodes used (11)

From the author

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This template helps you discover trending Instagram Reels from competitors or any public profiles you choose. 📺 How It Works The workflow automatically…

Excerpt from Eugene Green's description on n8n.io.

View the original on n8n.io → Check your own copy

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