Block 1 - AI Agent
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 3
Analyze LinkedIn content performance with OpenAI, Bright Data and NocoDB
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Important notice
This workflow is provided as-is. Please review and test before using in production.
1. Workflow Overview
AI LinkedIn Content Assistant using Bright Data and NocoDB Who’s it for This template is designed for creators, founders, and automation builders who publish regularly on LinkedIn and want to analy...
Best for
- Market Research automation workflows
- AI RAG automation workflows
- advanced n8n builders looking for reusable templates
Tools used
@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.manualtrigger, n8n-nodes-base.set, n8n-nodes-base.aggregate, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.memorybufferwindow
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Kornel Dubieniecki.
Original n8n.io source1.1 Workflow description
- Title
- Analyze LinkedIn content performance with OpenAI, Bright Data and NocoDB
- Workflow name
- Analyze LinkedIn content performance with OpenAI, Bright Data and NocoDB
AI LinkedIn Content Assistant using Bright Data and NocoDB
Who’s it for
This template is designed for creators, founders, and automation builders who publish regularly on LinkedIn and want to analyze their content performance using real data.
It’s especially useful for users who are already comfortable with n8n and want to build data-grounded AI assistants instead of relying on generic prompts or manual spreadsheets.
What this workflow does
This workflow builds an AI-powered LinkedIn content assistant backed by real engagement data.
It automatically:
- Scrapes LinkedIn posts and engagement metrics using Bright Data
- Stores structured post data in NocoDB
- Enables an AI chat interface in n8n to query and analyze your content
- Returns insights based on historical performance (not hallucinated data)
You can ask questions like:
- “Which posts performed best last month?”
- “What content got the most engagement?”
- “What should I post next?”
Requirements
- Self-hosted or cloud n8n instance
- Bright Data – LinkedIn scraping & data extraction
- NocoDB – Open-source Airtable-style database
- Open AI API – For AI reasoning & insights
Setup
- Import the workflow into your n8n instance
- Open the Config node and fill in required variables
- Connect your credentials for Bright Data, NocoDB, and Open AI API
- Activate the workflow and run the scraper once to populate data
How to customize the workflow
You can extend this template by:
- Adding new metrics or post fields in NocoDB
- Scheduling regular data refreshes
- Changing the AI system prompt to match your content strategy
- Connecting additional channels (email, Slack, dashboards)
This template is fully modular and designed to be adapted to your workflow.
Questions or Need Help?
For setup help, customization, or advanced AI workflows, join my 🌟 FREE 🌟 community:
Tech Builders Club
Happy building! 🚀 - Kornel Dubieniecki
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 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.3
Block 3 - When chat message received
- Type / Role
- @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
- Config choices
- Version 1.4
Block 4 - When clicking ‘Execute workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
Block 5 - Edit Fields
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 6 - Aggregate
- Type / Role
- n8n-nodes-base.aggregate - aggregate
- Config choices
- Version 1
Block 7 - Fetch Post Id
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 8 - Agent memory
- Type / Role
- @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
- Config choices
- Version 1.3
Block 9 - Chat memory
- Type / Role
- @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
- Config choices
- Version 1.3
Block 10 - Get posts
- Type / Role
- n8n-nodes-base.nocoDb - nocoDb
- Config choices
- Version 3
Block 11 - Sticky Note2
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 12 - Config
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 13 - Download Snapshot
- Type / Role
- @brightdata/n8n-nodes-brightdata.brightData - brightData
- Config choices
- Version 1
Block 14 - Wait
- Type / Role
- n8n-nodes-base.wait - wait
- Config choices
- Version 1.1
Block 15 - Get LinkedIn Profile
- Type / Role
- @brightdata/n8n-nodes-brightdata.brightDataTool - brightDataTool
- Config choices
- Version 1
Block 16 - Get Top LinkedIn Posts
- Type / Role
- n8n-nodes-base.nocoDbTool - nocoDbTool
- Config choices
- Version 3
Block 17 - Is Ready?
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2.2
Block 18 - Returned Posts?
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2.2
Block 19 - Scrape LinkedIn Posts
- Type / Role
- @brightdata/n8n-nodes-brightdata.brightData - brightData
- Config choices
- Version 1
Block 20 - Update Post
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 21 - Get Snapshot Status
- Type / Role
- @brightdata/n8n-nodes-brightdata.brightData - brightData
- Config choices
- Version 1
Block 22 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 23 - Sticky Note1
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
3. Summary Table
| Workflow | Analyze LinkedIn content performance with OpenAI, Bright Data and NocoDB |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Market Research, AI RAG |
| Author | Kornel Dubieniecki |
| Published | 14 Dec 2025 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/11790/11790.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 Analyze LinkedIn content performance with OpenAI, Bright Data and NocoDB do?
AI LinkedIn Content Assistant using Bright Data and NocoDB Who’s it for This template is designed for creators, founders, and automation builders who publish regularly on LinkedIn and want to analy...
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 RAG use case.