Scrape & summarize Product Hunt feedback with BrowserAct & Gemini AI

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Product Hunt Launch Monitor Scraping & Summarization of Product Hunt Feedbacks This n8n template provide...

Best for

Market Research automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-browseract-workflows.browseract, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.slack

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Madame AI Team | Kai.

Original n8n.io source

1.1 Workflow description

Title: Scrape & summarize Product Hunt feedback with BrowserAct & Gemini AI
Workflow name: Scrape & summarize Product Hunt feedback with BrowserAct & Gemini AI

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?

Workflow Guidance and Showcase

Steal Your Competitor's Weaknesses (Product Hunt + BrowserAct + n8n)

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 2 - Run a workflow task

Type / Role: n8n-nodes-browseract-workflows.browserAct - browserAct
Config choices: Version 1

Block 3 - Get details of a workflow task

Type / Role: n8n-nodes-browseract-workflows.browserAct - browserAct
Config choices: Version 1

Block 4 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 5 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 6 - Append row in sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 7 - Sticky Note - Intro

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note - How to Use

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note - Need Help

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note - Data Collection

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Sticky Note - AI Analyst

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Sticky Note - Reporting

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Gemini

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 14 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Send a message

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.3

Block 18 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 19 - Get row(s) in sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 20 - Sticky Note - Reporting1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 21 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 22 - Sticky Note - Input & Loop

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 23 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Scrape & summarize Product Hunt feedback with BrowserAct & Gemini AI
Complexity	advanced
Nodes	23
Categories	Market Research, AI Summarization
Author	Madame AI Team \| Kai
Published	19 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9894/9894.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Scrape & summarize Product Hunt feedback with BrowserAct & Gemini AI do?

Product Hunt Launch Monitor Scraping & Summarization of Product Hunt Feedbacks This n8n template provide...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.

Madame AI Team | Kai

50 workflows

Nodes

n8n-nodes-base.manualtrigger n8n-nodes-browseract-workflows.browseract @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.googlesheets n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.slack

Complexity

advanced

Published 19 Oct 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/9894/9894.json

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Scrape & summarize Product Hunt feedback with BrowserAct & Gemini AI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

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.

Self-Hosted Only

How it works

Requirements

Need Help?

How to Find Your BrowseAct API Key & Workflow ID

How to Connect n8n to Browseract

How to Use & Customize BrowserAct Templates

How to Use the BrowserAct N8N Community Node

Workflow Guidance and Showcase

Steal Your Competitor's Weaknesses (Product Hunt + BrowserAct + n8n)

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Block 2 - Run a workflow task

Block 3 - Get details of a workflow task

Block 4 - AI Agent

Block 5 - Structured Output Parser

Block 6 - Append row in sheet

Block 7 - Sticky Note - Intro

Block 8 - Sticky Note - How to Use

Block 9 - Sticky Note - Need Help

Block 10 - Sticky Note - Data Collection

Block 11 - Sticky Note - AI Analyst

Block 12 - Sticky Note - Reporting

Block 13 - Gemini

Block 14 - Sticky Note

Block 15 - Sticky Note1

Block 16 - Sticky Note2

Block 17 - Send a message

Block 18 - Loop Over Items

Block 19 - Get row(s) in sheet

Block 20 - Sticky Note - Reporting1

Block 21 - Sticky Note3

Block 22 - Sticky Note - Input & Loop

Block 23 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions