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Facebook ads competitive analysis using Gemini and Open AI

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Facebook ads competitive analysis using Gemini and Open AI preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

How it works User submits a keyword through a form to trigger the workflow. Ads matching the keyword are scraped from Facebook Ads Library. Ads are filtered by media type (image or video). Images a...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.extractfromfile, n8n-nodes-base.set, n8n-nodes-base.merge, n8n-nodes-base.googlesheets

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Archit Jain.

Original n8n.io source

1.1 Workflow description

Title
Facebook ads competitive analysis using Gemini and Open AI
Workflow name
Facebook ads competitive analysis using Gemini and Open AI

How it works

  • User submits a keyword through a form to trigger the workflow.
  • Ads matching the keyword are scraped from Facebook Ads Library.
  • Ads are filtered by media type (image or video).
  • Images are analyzed using an AI model to describe visuals and text.
  • Videos are downloaded, processed, and sent to Gemini for visual and spoken content analysis.
  • Text, URLs, and media descriptions are compiled.
  • All ad insights are saved into a Google Sheet for easy viewing.

Set up steps

  • Requires Apify and Gemini API credentials, Google Sheets access, and OpenAI key.
  • Import the workflow into n8n and connect accounts to form, HTTP, and Sheets nodes.
  • Provide form trigger URL for user input; no advanced config needed.
  • Estimated setup time: ~15–20 minutes for a user familiar with n8n.
  • Sticky notes inside the workflow provide helpful guidance per section.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - On form submission

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 2 - Scrape Ads

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 3 - Switch

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.2

Block 4 - OpenAI

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 5 - Extract from File

Type / Role
n8n-nodes-base.extractFromFile - extractFromFile
Config choices
Version 1

Block 6 - Gemini Video Decode

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 7 - Download Video

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 8 - Final Image Values

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 9 - Final Video Values

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 10 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 11 - Save

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.6

Block 12 - Loop Over Items

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 13 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Wait

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 15 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Facebook ads competitive analysis using Gemini and Open AI
Complexity advanced
Nodes 18
Categories Market Research, AI Summarization
Author Archit Jain
Published 06 Jun 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4716/4716.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Facebook ads competitive analysis using Gemini and Open AI do?

How it works User submits a keyword through a form to trigger the workflow. Ads matching the keyword are scraped from Facebook Ads Library. Ads are filtered by media type (image or video). Images a...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.