Block 1 - When clicking ‘Execute workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
Categories Marketing Intelligence, Ad Operations, Competitive Research, Creative Analysis Build a Facebook Ad Intelligence Pipeline with Apify, AI, and Google Sheets This workflow creates an end to...
n8n-nodes-base.manualtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.splitinbatches, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.openai, @apify/n8n-nodes-apify.apify, n8n-nodes-base.dropbox, @n8n/n8n-nodes-langchain.googlegemini
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ahmed Salama.
Original n8n.io sourceCategories Marketing Intelligence, Ad Operations, Competitive Research, Creative Analysis
Build a Facebook Ad Intelligence Pipeline with Apify, AI, and Google Sheets
This workflow creates an end-to-end Facebook Ad Intelligence pipeline that automatically collects live ads from the Facebook Ad Library, analyzes their creative and messaging using AI, and stores structured insights in Google Sheets for reuse.
The system continuously pulls ads from specified Facebook Ad Library URLs, filters for high-signal advertisers, classifies ads by format (video, image, or text), and applies AI analysis to extract strategy, positioning, and reusable creative angles.
The result is a reliable, no-manual-work system that turns competitor ads into structured, reusable intelligence instead of screenshots and guesswork.
Evidence-Based Creative Decisions Learn from ads that are already live and funded, not assumptions.
Faster Creative Iteration Reuse proven angles, hooks, and formats without starting from zero.
Centralized Ad Intelligence All insights are stored in a searchable Google Sheet.
Format-Aware Analysis Images, videos, and text ads are analyzed using the correct method.
Low Noise, High Signal Filters remove weak advertisers and surface serious spenders.
Apify
OpenAI
Google Gemini
Google Sheets
Dropbox (optional)
Performance Marketers
Media Buyers
Agencies
Founders
Growth Teams
Intermediate
60–90 minutes
Apify: Usage-based OpenAI: Usage-based Google Sheets: Free Dropbox: Free or paid plan n8n: Self-hosted or cloud
Typical range: $20–60/month depending on volume
Live ads represent real budget decisions Filtering enforces signal quality Format-specific analysis improves insight accuracy Structured storage enables reuse at scale Automation replaces manual ad spying
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 28 workflow blocks. Download the JSON for the full node graph.
| Workflow | Monitor and analyze competitor Facebook ads with Apify, GPT-4o, Gemini, and Google Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 28 |
| Categories | Market Research, AI Summarization |
| Author | Ahmed Salama |
| Published | 29 Jan 2026 |
Use the JSON export at /data/workflows/13096/13096.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.
Categories Marketing Intelligence, Ad Operations, Competitive Research, Creative Analysis Build a Facebook Ad Intelligence Pipeline with Apify, AI, and Google Sheets This workflow creates an end to...
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, AI Summarization use case.