# Reddit Sentiment Analysis for Apple WWDC25 with Gemini: n8n workflow

> Started by an event in a connected app, and works across Google Sheets. It hands the judgement calls to Gemini.

Source: https://millionrounds.com/workflow/reddit-sentiment-analysis-for-apple-wwdc25-with-gemini (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)

# Reddit Sentiment Analysis for Apple WWDC25 with Gemini

Started by an event in a connected app, and works across Google Sheets. It hands the judgement calls to Gemini. 19 steps, 1 branch, 2 loops or waits: a working afternoon to understand properly.

Medium Calls a model: Gemini

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Freddit-sentiment-analysis-for-apple-wwdc25-with-gemini)

**19 steps** Medium: a working afternoon

**1** Branch: places the flow splits

**2** Loops or waits

**1** Service it connects to

## The flow

Starts it 1 Model 4 Logic 10 Service 4

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

- 1 **When clicking ‘Execute workflow’** Manual trigger *Starts it*
- 2 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 3 **Google Gemini Chat Model1** Lm Chat Google Gemini *Model*
- 4 **scrap reddit** Http Request *Service*
- 5 **Text Classifier** Text Classifier *Model*
- 6 **Sentiment Analysis per comment** Sentiment Analysis *Model*
- 7 **Get status** Http Request *Service*
- 8 **Edit Fields** Set *Logic*
- 9 **No category** Set *Logic*
- 10 **Merge** Merge *Logic*
- 11 **Switch** Switch *Logic*
- 12 **Split Out** Split Out *Logic*
- 13 **Loop Over Items** Split In Batches *Logic*
- 14 **format sentiment** Set *Logic*
- 15 **Get data** Http Request *Service*
- 16 **Wait** Wait *Logic*
- 17 **edit for Sentiment analysis** Set *Logic*
- 18 **Filter** Filter *Logic*
- 19 **Append Sentiments** Google Sheets *Service*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 19, with 1 branch, 2 loops or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Google Sheets
- **Model:** Gemini

## Questions

What does it need to run?

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

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls Gemini. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 19 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 19 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%2Freddit-sentiment-analysis-for-apple-wwdc25-with-gemini)
- **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.

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

## Workflows like it

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

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- [**Track positive Instagram comment sentiment with OpenAI** 19 steps · Gmail, Google Sheets](https://millionrounds.com/workflow/track-positive-instagram-comment-sentiment-with-openai)