Block 1 - Split Out
- Type / Role
- n8n-nodes-base.splitOut - splitOut
- Config choices
- Version 1
Generate weekly Meta Ads report with GPT-4 insights and Slack delivery
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Important notice
This workflow is provided as-is. Please review and test before using in production.
1. Workflow Overview
What this workflow does Runs automatically every Monday morning at 8 AM Collects your Meta Ads data from the last 7 days for a given account (date range is configurable) Formats the data, aggregati...
Best for
- Market Research automation workflows
- AI Summarization automation workflows
- intermediate n8n builders looking for reusable templates
Tools used
n8n-nodes-base.splitout, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.stickynote, n8n-nodes-pdforge.pdforge, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Marcelo Abreu.
Original n8n.io source1.1 Workflow description
- Title
- Generate weekly Meta Ads report with GPT-4 insights and Slack delivery
- Workflow name
- Generate weekly Meta Ads report with GPT-4 insights and Slack delivery
What this workflow does
- Runs automatically every Monday morning at 8 AM
- Collects your Meta Ads data from the last 7 days for a given account (date range is configurable)
- Formats the data, aggregating it at the campaign, ad set, and ad levels
- Generates AI-driven analysis and insights on your results, providing actionable recommendations
- Renders the report as a visually appealing PDF with charts and tables
- Sends the report via Slack (you can also add email or WhatsApp)
A sample for the first page of the report:
Setup Guide
- Create an account of pdf noodle and use the pre-made Meta Ads template.
- Connect Meta Ads, OpenAI and Slack to n8n
- Set your Ad Account Id and date range (choose from 'last_7d', 'last_14d', 'last30d')
- (opcional) Customize the scheduling date and time
Requirements
- Meta Ads (via Facebook Graph API): Documentation
- pdf noodle access: Integration guide
- AI API access (e.g. via OpenAI, Anthropic, Google or Ollama)
- Slack acces (via OAuth2): Documentation
Feel free to contact me via Linkedin, if you have any questions! 👋🏻
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 2 - HTTP Request - Meta Ads
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
Block 3 - Configuration
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 4 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 5 - Sticky Note1
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 6 - Pdforge
- Type / Role
- n8n-nodes-pdforge.pdforge - pdforge
- Config choices
- Version 1
Block 7 - Format data
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 8 - Download Binary
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
Block 9 - Generating Insights for Meta Ads
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 2
Block 10 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.2
Block 11 - Structured Output Parser
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
Block 12 - Generate variables
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 13 - Slack - Send Message with File
- Type / Role
- n8n-nodes-base.slack - slack
- Config choices
- Version 2.3
Block 14 - Weekly at monday 8am
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
3. Summary Table
| Workflow | Generate weekly Meta Ads report with GPT-4 insights and Slack delivery |
|---|---|
| Complexity | intermediate |
| Nodes | 14 |
| Categories | Market Research, AI Summarization |
| Author | Marcelo Abreu |
| Published | 26 Jun 2025 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/5386/5386.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.
Frequently asked questions
What does Generate weekly Meta Ads report with GPT-4 insights and Slack delivery do?
What this workflow does Runs automatically every Monday morning at 8 AM Collects your Meta Ads data from the last 7 days for a given account (date range is configurable) Formats the data, aggregati...
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.