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?

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Happy building! 🚀 - Kornel Dubieniecki