πŸ“Š Scrape & summarize Product Hunt feedback with BrowserAct & Gemini AI

⚑ 161 views Β· πŸ“Š Market Research & Insights

πŸ’‘ Pro Tip β€” HTTP Request scraping tends to break when sites update their markup. If you’re scraping a major platform, check if ScraperNode covers it β€” it has maintained scrapers for LinkedIn, Instagram, TikTok, YouTube, and 20+ other platforms that return structured data.

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Description

Product Hunt Launch Monitor

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


Requirements


Need Help?


Workflow Guidance and Showcase

πŸ”— Nodes Used

Google Sheets, Slack, AI Agent, Structured Output Parser, Google Gemini Chat Model

πŸ“₯ Import

Download workflow.json and import into n8n: Workflow menu β†’ Import from File

πŸ“– Importing guide Β· πŸ”‘ Credential setup