Scrape ProductHunt using Google Gemini
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 7 nodes and runs when an HTTP GET request hits its webhook URL. Along the way it connects Google Gemini Chat Model.
How it runs
Trigger: When an HTTP GET request hits its webhook URL.
- Fetch Product HTML (HTTP Request): calls an HTTP API
- Extract Inline Scripts (Code): runs custom JavaScript code
- Process Script with LLM (Basic LLM Chain): sends a prompt to an LLM, with model: Analyze Script with Google Gemini; output parser: Format Product Data to JSON
- Send JSON Response to Client (Respond to Webhook): sends the response back to the webhook caller
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 (7)
- Webhook
n8n-nodes-base.webhook - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Respond to Webhook
n8n-nodes-base.respondToWebhook
From the author
Workflow Description: Product Data Extractor This workflow automates the extraction of product data from Product Hunt by combining webhook interactions, HTML processing, AI-based data analysis, and structured output formatting. It is designed to handle…