Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
How it works 1. Scrape ads – Pulls Facebook Ad Library data for "ai automation" keywords using Apify 2. Filter & sort – Filters ads by page likes ( 1,000) and separates into videos, images, and ...
n8n-nodes-base.stickynote, n8n-nodes-base.manualtrigger, n8n-nodes-base.filter, n8n-nodes-base.wait, n8n-nodes-base.httprequest, n8n-nodes-base.googledrive, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.openai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Koulikas Giannis.
Original n8n.io source1. Scrape ads – Pulls Facebook Ad Library data for "ai automation" keywords using Apify
2. Filter & sort – Filters ads by page likes (>1,000) and separates into videos, images, and text ads
3. Analyze creative – For videos: uploads to Gemini for detailed description. For images: analyzes with GPT-4V. For text: rewrites copy using GPT-4.1
4. Generate new ad – Creates a Veo 3 prompt from the analysis, generates an 8-second video clip, and converts it to 9:16 vertical format
5. Add captions – Overlays rewritten ad copy as captions using Creatomate
6. Log results – Uploads final video to GCS and logs all data (analysis, prompts, URLs) to Google Sheets
API Keys – Set up accounts for Apify, Google Cloud (Gemini + GCS), OpenAI, Shotstack, and Creatomate
Credentials in n8n – Add each API key as a credential in your n8n instance
Configure variables – Update the SET1 node with your Google Cloud PROJECT_ID and CLIENT_EMAIL
Set up Google Sheet – Create a sheet with columns matching the schema (ad_archive_id, page_name, summary, rewritten_ad_copy, etc.)
Test – Execute the workflow to scrape, analyze, and generate a new ad variation
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 66 workflow blocks. Download the JSON for the full node graph.
| Workflow | FB Ad Spy: AI-Powered Competitor Ad Intelligence & Auto-Video Remixer |
|---|---|
| Complexity | advanced |
| Nodes | 66 |
| Categories | Market Research, Multimodal AI |
| Author | Koulikas Giannis |
| Published | 19 Apr 2026 |
Use the JSON export at /data/workflows/15144/15144.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How it works 1. Scrape ads – Pulls Facebook Ad Library data for "ai automation" keywords using Apify 2. Filter & sort – Filters ads by page likes ( 1,000) and separates into videos, images, and ...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, Multimodal AI use case.