Reddit Sentiment Analysis for Apple WWDC25 with Gemini AI and Google Sheets
Ready for 3.0What this workflow does
This AI workflow has 19 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Gemini Chat Model and Google Sheets. It also calls api.brightdata.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- scrap reddit (HTTP Request): calls api.brightdata.com (POST)
- Get status (HTTP Request): calls an HTTP API
- Switch: routes items into 2 branches
- Get data (HTTP Request): calls an HTTP API
- Wait: waits 15 seconds
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Text Classifier: classifies text into categories with AI, with model: Google Gemini Chat Model
- Edit Fields (Edit Fields (Set)): sets 9 fields: post_id, url, user_posted…
- No category (Edit Fields (Set)): sets 1 field: response
- Split Out: splits a list into separate items
…plus 6 more steps. See the full node list below.
Services it uses
HTTP calls to: api.brightdata.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (13)
- Manual Trigger
n8n-nodes-base.manualTrigger - HTTP Request
n8n-nodes-base.httpRequest - Switch
n8n-nodes-base.switch - Wait
n8n-nodes-base.wait - Text Classifier
@n8n/n8n-nodes-langchain.textClassifier - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Edit Fields (Set)
n8n-nodes-base.set - Split Out
n8n-nodes-base.splitOut - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Merge
n8n-nodes-base.merge - Google Sheets
n8n-nodes-base.googleSheets - Sentiment Analysis
@n8n/n8n-nodes-langchain.sentimentAnalysis - Filter
n8n-nodes-base.filter
From the author
This workflow automates sentiment analysis of Reddit posts related to Apple's WWDC25 event. It extracts data, categorizes posts, analyzes sentiment of comments, and updates a Google Sheet with the results. Preliquisites 1. Bright Data Account: You need a…