Analyze Reddit competitor sentiment with Bright Data and GPT-5.4
Ready for 3.0What this workflow does
This AI workflow has 14 nodes and runs on a schedule (every week at 08:00). Along the way it connects Google Sheets, OpenAI Chat Model and Gmail.
How it runs
Trigger: On a schedule (every week at 08:00).
- Read Competitor Brands Sheet (Google Sheets): uses Google Sheets
- Scrape Reddit Posts (HTTP Request): calls an HTTP API (POST)
- Validate BD Response (Code): runs custom JavaScript code
- Analyze Competitor Sentiment (AI Agent): runs an AI agent, with model: GPT-5.4 Model
- Parse AI Output (Code): runs custom JavaScript code
- Calculate Vulnerability Index (Code): runs custom JavaScript code
- If: checks a condition and branches into true / false
- Route by Score Level (Switch): routes items into 2 branches
- Append Low Confidence (Google Sheets): append
- Email Opportunity Alert (Gmail): uses Gmail
…plus 2 more steps. See the full node list below.
Services it uses
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 (9)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Google Sheets
n8n-nodes-base.googleSheets - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - If
n8n-nodes-base.if - Gmail
n8n-nodes-base.gmail - Switch
n8n-nodes-base.switch
From the author
Analyze Reddit sentiment around competitor brands using Bright Data URL-based scraping and GPT-5.4. This workflow Reads competitor post URLs from Google Sheets, scrapes Reddit posts via URL using Bright Data's Reddit Posts API, and uses GPT-5.4 to map…