Templates / Transcribe LinkedIn Ad Library video ads to Google Sheets with Apify

Transcribe LinkedIn Ad Library video ads to Google Sheets with Apify

Ready for 3.0

by Steadyfetch ✓ · 18 views · created 2026-09-04 · Market Research, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 20 nodes and runs on a schedule (every week at 08:00) (plus 1 other trigger). Along the way it connects Groq Chat Model, Google Sheets and Slack.

How it runs

Trigger: On a schedule (every week at 08:00) (plus 1 other trigger).

  1. Config (Edit Fields (Set)): sets 3 fields: competitors, maxAdsPerCompetitor, slackChannel
  2. Competitors, one per item (Code): runs custom JavaScript code
  3. Loop over competitors (Loop Over Items (Split in Batches)): loops over the items in batches
  4. Only ads we have not seen before (Remove Duplicates): removes duplicate items
  5. Scrape this competitor's Ad Library (HTTP Request): calls an HTTP API (POST)
  6. Any new ads? (If): checks a condition and branches into true / false
  7. Scrape finished? (If): checks a condition and branches into true / false
  8. Classify the hook and offer (Information Extractor): extracts structured fields from text with AI, with model: Groq Chat Model
  9. Transcribe the video ads (HTTP Request): calls an HTTP API (POST)
  10. Wait for the scrape (HTTP Request): calls an HTTP API

…plus 6 more steps. See the full node list below.

Services it uses

Groq Chat ModelGoogle SheetsSlack

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (14)

From the author

Quick overview Every Monday this workflow transcribes your competitors' new LinkedIn video ads, has an AI classify the hook and offer, appends the new ones to a Google Sheet and posts a digest to Slack. How it works 1. A Schedule Trigger fires weekly. One…

Excerpt from Steadyfetch's description on n8n.io.

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

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