# Extract insights & analyse YouTube comments with OpenAI: n8n workflow

> Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/extract-insights-and-analyse-youtube-comments-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Research and reporting](https://millionrounds.com/workflows?category=Research+and+reporting#library)

# Extract insights & analyse YouTube comments with OpenAI

Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 22 steps, 1 branch: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fextract-insights-and-analyse-youtube-comments-with-openai)

**22 steps** Large: read it before trusting it with anything live

**1** Branch: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 2 Model 11 Logic 3 Service 6

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

- 1 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 2 **get_channel_details** Tool Workflow *Model*
- 3 **get_video_description** Tool Workflow *Model*
- 4 **get_list_of_videos** Tool Workflow *Model*
- 5 **get_list_of_comments** Tool Workflow *Model*
- 6 **search** Tool Workflow *Model*
- 7 **analyze_thumbnail** Tool Workflow *Model*
- 8 **video_transcription** Tool Workflow *Model*
- 9 **Postgres Chat Memory** Memory Postgres Chat *Model*
- 10 **When chat message received** Chat trigger *Starts it*
- 11 **Execute Workflow Trigger** Execute Workflow trigger *Starts it*
- 12 **AI Agent** Agent *Model*
- 13 **Switch** Switch *Logic*
- 14 **Get Channel Details** Http Request *Service*
- 15 **Get Video Description** Http Request *Service*
- 16 **Get Comments** Http Request *Service*
- 17 **Run Query** Http Request *Service*
- 18 **Get Videos by Channel** Http Request *Service*
- 19 **OpenAI** Open Ai *Model*
- 20 **Get Video Transcription** Http Request *Service*
- 21 **Response** Set *Logic*
- 22 **Edit Fields** Set *Logic*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 22, with 1 branch
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **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, 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?

Take your time. At 22 steps it is large: read it before trusting it with anything live.

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 22 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%2Fextract-insights-and-analyse-youtube-comments-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.

## Workflows like it

Also research and reporting, with the same services where possible, closest in size first.

- [**AI-Powered Vendor Policy & RSS Feed Analysis** 22 steps · calls a model · Gmail, RSS](https://millionrounds.com/workflow/ai-powered-vendor-policy-and-rss-feed-analysis)
- [**AI-powered viral trend analysis for TikTok and Instagram** 22 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/ai-powered-viral-trend-analysis-for-tiktok-and-instagram)
- [**Analyze competitor Facebook ads with Apify and OpenAI** 22 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/analyze-competitor-facebook-ads-with-apify-and-openai)
- [**Analyze workforce data and generate planning reports** 22 steps · calls a model](https://millionrounds.com/workflow/analyze-workforce-data-and-generate-planning-reports)
- [**Audit AI decisions and route risks with OpenAI and Slack** 22 steps · calls a model · Email, Slack](https://millionrounds.com/workflow/audit-ai-decisions-and-route-risks-with-openai-and-slack)
- [**Automate UX research planning with Gemini and Google Docs** 22 steps · calls a model · Gmail, Google Docs](https://millionrounds.com/workflow/automate-ux-research-planning-with-gemini-and-google-docs)