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Product Hunt Launch Monitor - Scraping & Summarization of Product Hunt Feedbacks
This n8n template provides automated competitive intelligence by scraping and summarizing Product Hunt launch feedback with a specialized AI analyst.
This workflow is essential for product managers, marketing teams, and founders who need to quickly gather and distill actionable insights from competitor launches to inform their own product strategy and positioning.
Self-Hosted Only
This Workflow uses a community contribution and is designed and tested for self-hosted n8n instances only.
How it works
- The workflow can be triggered manually but is designed to be easily switched to a Schedule Trigger for continuous competitive monitoring.
- A Google Sheet node fetches a list of product names you wish to monitor, which the workflow processes in a loop.
- A BrowserAct node then initiates a web scraping task to collect all the public comments from the specified Product Hunt launch page.
- An AI Agent, powered by Google Gemini, acts as a competitive intelligence analyst, processing the raw comments.
- The AI distills the feedback into a structured format, providing a concise Summary, pinpointing key Positive and Negative feedback, and generating Recommendations for a similar product to be successful.
- The structured analysis is saved to a Google Sheet for easy review and tracking.
- Finally, a Slack notification confirms that the Product Hunt results have been processed and updated.
Requirements
- BrowserAct API account for web scraping
- BrowserAct "Product Hunt Launch Monitor" Template
- BrowserAct n8n Community Node -> (n8n Nodes BrowserAct)
- Gemini account for the AI Agent
- Google Sheets credentials for input and saving the analysis
- Slack credentials for sending notifications
Need Help?
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How to Find Your BrowseAct API Key & Workflow ID
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How to Connect n8n to Browseract
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How to Use & Customize BrowserAct Templates
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How to Use the BrowserAct N8N Community Node