Community nodes can only be installed on self-hosted instances of n8n.
This workflow template enables intelligent data extraction from ProductHunt using Bright Data’s Model Context Protocol (MCP) and processes search results with Google Gemini.
This workflow is designed for individuals and teams who need automated, intelligent discovery and analysis of new tech products. It's especially valuable for:
Traditional product discovery on ProductHunt is constrained by limited descriptions and requires repeated manual validation through web searches. Manually extracting and enriching this data is slow, repetitive, and error-prone.
This workflow solves the problem by:
Extracting real-time ProductHunt data using Bright Data’s MCP infrastructure to mimic real-user behavior and avoid blocks.
Performing contextual searches on Google for a specific product on ProductHunt to gather use cases, reviews, and related information.
Structuring results using Google Gemini LLM to provide human-readable insights and reduce noise.
Delivering results seamlessly by saving output to disk, updating Google Sheets, and sending Webhook alerts.
Input Field Node
Define the ProductHunt category with the search term(s) you want to target. This is used to drive extraction and search operations.
Agent Operation Node
The agent performs two major tasks:
Extract from ProductHunt
Retrieves trending products from ProductHunt using Bright Data MCP
Contextual Google Search for the product the agent searches Google for deeper context, including:
Reviews
Competitor mentions
Real-world usage examples
LLM Node (Google Gemini)
Analyzes and summarizes extracted web content
Removes noise (ads, menus, etc.)
Structures content into bullet points, insights, or JSON objects
Make sure to copy the Bright Data API_TOKEN within the Environments textbox above as API_TOKEN=<your-token>
This workflow is flexible and modular, allowing you to adapt it for various research, product discovery, or trend analysis use cases. Below are the key customization points and how to modify them.
Define Your Target Products or Topics:
Change the input parameter to a specific ProductHunt category, tag, or keyword (e.g., "AI tools", "SaaS", "DevOps")
Change Output Destinations :
Save to Disk: Change the file format (.json, .csv, .md) or directory path
Google Sheet: Modify sheet name, structure (columns like Product, Summary, Link)
Webhook Notification: Point to a Slack/Discord/CRM/Webhook URL with payload mapping