Automated meta ads analysis with Gemini AI, ScrapingFlash, and Google Sheets

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Important notice

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

1. Workflow Overview

This workflow acts as your personal AI powered analyst for Meta Ads. It's pretty straightforward: 1. First, it grabs a list of Facebook Ad Library URLs you want to check out from a Google Sheet. 2....

Best for

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

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.manualtrigger, n8n-nodes-base.scheduletrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.httprequest, n8n-nodes-base.splitout, n8n-nodes-base.splitinbatches, n8n-nodes-base.limit

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Paul-François GORIAUX.

Original n8n.io source

1.1 Workflow description

Title: Automated meta ads analysis with Gemini AI, ScrapingFlash, and Google Sheets
Workflow name: Automated meta ads analysis with Gemini AI, ScrapingFlash, and Google Sheets

This workflow acts as your personal AI-powered analyst for Meta Ads.

It's pretty straightforward:

First, it grabs a list of Facebook Ad Library URLs you want to check out from a Google Sheet.
Then, it automatically scrapes the active ads from those pages.

Here's the cool part: it sends each ad's image and text to Google Gemini, which analyzes it like an expert marketer would.

Finally, Gemini's full analysis—we're talking strengths, weaknesses, actionable suggestions, and a performance score—gets dropped neatly into another Google Sheet for you.

Set up steps

You should be ready to roll in about 5 minutes. There are no complex configurations, you just need to:

Connect your accounts: The workflow has placeholders waiting for your credentials for Google (for Sheets and the Gemini API) and ScrapingFlash.
Link your Google Sheets: Just point the first Google Sheets node to the sheet with your URLs, and tell the last node where you want to save the results.

All the nitty-gritty details and expressions are explained in the sticky notes inside the workflow itself!

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 - README

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

Block 2 - When clicking ‘Execute workflow’

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

Block 3 - Schedule Trigger

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 4 - Sticky Note

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

Block 5 - Get URL to scrap

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

Block 6 - Request to scrapingflash.com

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

Block 7 - Sticky Note1

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

Block 8 - Split all the ads

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

Block 9 - Loop Over Items

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

Block 10 - Sticky Note2

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

Block 11 - Limit to 10 ads

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

Block 12 - Categorise every Meta Ads

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.4

Block 13 - Sticky Note3

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

Block 14 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 15 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 16 - Add row in Sheet

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

Block 17 - Sticky Note4

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

3. Summary Table

Workflow	Automated meta ads analysis with Gemini AI, ScrapingFlash, and Google Sheets
Complexity	advanced
Nodes	17
Categories	Market Research, AI Summarization
Author	Paul-François GORIAUX
Published	22 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6276/6276.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Automated meta ads analysis with Gemini AI, ScrapingFlash, and Google Sheets do?

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.

Paul-François GORIAUX

1 workflow

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.manualtrigger n8n-nodes-base.scheduletrigger n8n-nodes-base.googlesheets n8n-nodes-base.httprequest n8n-nodes-base.splitout n8n-nodes-base.splitinbatches n8n-nodes-base.limit

Complexity

advanced

Published 22 Jul 2025

Likes 0

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Install path: /data/workflows/6276/6276.json

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Automated meta ads analysis with Gemini AI, ScrapingFlash, and Google Sheets

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - README

Block 2 - When clicking ‘Execute workflow’

Block 3 - Schedule Trigger

Block 4 - Sticky Note

Block 5 - Get URL to scrap

Block 6 - Request to scrapingflash.com

Block 7 - Sticky Note1

Block 8 - Split all the ads

Block 9 - Loop Over Items

Block 10 - Sticky Note2

Block 11 - Limit to 10 ads

Block 12 - Categorise every Meta Ads

Block 13 - Sticky Note3

Block 14 - Google Gemini Chat Model

Block 15 - Structured Output Parser

Block 16 - Add row in Sheet

Block 17 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions