# Analyze LinkedIn content performance with OpenAI: n8n workflow

> Started by someone opening a chat with it, and works across NocoDB. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply...

Source: https://millionrounds.com/workflow/analyze-linkedin-content-performance-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Content](https://millionrounds.com/workflows?category=Content#library)

# Analyze LinkedIn content performance with OpenAI

Started by someone opening a chat with it, and works across NocoDB. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 20 steps, 2 branches, 1 loop or waits: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fanalyze-linkedin-content-performance-with-openai)

**20 steps** Medium: a working afternoon

**2** Branches: places the flow splits

**1** Loop or waits

**1** Service it connects to

## The flow

Starts it 2 Model 4 Logic 6 Service 8

The steps in the order they run, from what starts it.

- 1 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 2 **When clicking ‘Execute workflow’** Manual trigger *Starts it*
- 3 **Agent memory** Memory Buffer Window *Model*
- 4 **Chat memory** Memory Buffer Window *Model*
- 5 **Get LinkedIn Profile** Bright Data Tool *Service*
- 6 **Get Top LinkedIn Posts** Noco Db Tool *Service*
- 7 **AI Agent** Agent *Model*
- 8 **Config** Set *Logic*
- 9 **When chat message received** Chat trigger *Starts it*
- 10 **Get posts** Noco Db *Service*
- 11 **Edit Fields** Set *Logic*
- 12 **Aggregate** Aggregate *Logic*
- 13 **Scrape LinkedIn Posts** Bright Data *Service*
- 14 **Returned Posts?** If *Logic*
- 15 **Fetch Post Id** Http Request *Service*
- 16 **Get Snapshot Status** Bright Data *Service*
- 17 **Update Post** Http Request *Service*
- 18 **Is Ready?** If *Logic*
- 19 **Download Snapshot** Bright Data *Service*
- 20 **Wait** Wait *Logic*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 20, with 2 branches, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** NocoDB
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own NocoDB account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 20 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 20 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fanalyze-linkedin-content-performance-with-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[NocoDB](https://millionrounds.com/workflows?service=NocoDB#library)

## Workflows like it

Also content, with the same services where possible, closest in size first.

- [**Auto-Generate & Approve Social Media Posts from RSS Feeds** 22 steps · calls a model · LinkedIn, NocoDB](https://millionrounds.com/workflow/auto-generate-and-approve-social-media-posts-from-rss-feeds)
- [**Scrape and summarize posts of a news site without RSS feed** 18 steps · calls a model · NocoDB](https://millionrounds.com/workflow/scrape-and-summarize-posts-of-a-news-site-without-rss-feed)
- [**Create viral storytelling videos with OpenAI and Gemini** 24 steps · calls a model · NocoDB](https://millionrounds.com/workflow/create-viral-storytelling-videos-with-openai-and-gemini)
- [**Comprehensive SEO keyword research with OpenAI and DataForSEO** 26 steps · calls a model · NocoDB, Slack](https://millionrounds.com/workflow/comprehensive-seo-keyword-research-with-openai-and-dataforse)
- [**Aggregate news articles from NewsAPI, Mediastack & CurrentsAPI** 29 steps · NocoDB](https://millionrounds.com/workflow/aggregate-news-articles-from-newsapi-mediastack-and-currents)
- [**Curate and score RSS articles with NocoDB and Gemini** 8 steps · calls a model · NocoDB](https://millionrounds.com/workflow/curate-and-score-rss-articles-with-nocodb-and-gemini)