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AI-powered Product Hunt data collection & translation with GPT-4 and Google Sheets

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AI-powered Product Hunt data collection & translation with GPT-4 and Google Sheets preview
Open on n8n.io

Important notice

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

1. Workflow Overview

This n8n template automates the collection and enrichment of Product Hunt posts using AI and Google Sheets. It fetches new tools daily, translates content, categorizes them intelligently, and saves...

Best for

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

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.googlesheets, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.scheduletrigger, n8n-nodes-base.code, n8n-nodes-base.set, n8n-nodes-base.googlesheetstool

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Amine ARAGRAG.

Original n8n.io source

1.1 Workflow description

Title
AI-powered Product Hunt data collection & translation with GPT-4 and Google Sheets
Workflow name
AI-powered Product Hunt data collection & translation with GPT-4 and Google Sheets

This n8n template automates the collection and enrichment of Product Hunt posts using AI and Google Sheets.

It fetches new tools daily, translates content, categorizes them intelligently, and saves everything into a structured spreadsheet—ideal for building directories, research dashboards, newsletters, or competitive intelligence assets.

Good to know

  • Sticky notes inside the workflow explain each functional block and required configurations.
  • Uses cursor-based pagination to safely fetch Product Hunt data.
  • AI agent handles translation, documentation generation, tech extraction, and function area classification.
  • Category translations are synced with a Google Sheets dictionary to avoid duplicates.
  • All enriched entries are stored in a clean “Tools” sheet for easy filtering or reporting.

How it works

  • A schedule trigger starts the workflow daily.
  • Product Hunt posts are retrieved via GraphQL and processed in batches.
  • A code node restructures each product into a consistent schema.
  • The workflow checks if a product already exists in Google Sheets.
  • For new items, the AI agent generates metadata, translations, and documentation.
  • Categories are matched or added to a Google Sheets dictionary.
  • The final enriched product entry is appended or updated in the spreadsheet.
  • Pagination continues until no next page remains.

How to use

  • Connect Product Hunt OAuth2, Google Sheets, and OpenAI credentials.
  • Adjust the schedule trigger to your preferred frequency.
  • Optionally expand enrichment fields (tags, scoring, custom classifications).
  • Replace the trigger with a webhook or manual trigger if needed.

Requirements

  • Product Hunt OAuth2 credentials
  • Google Sheets account
  • OpenAI (or compatible) API access

Customising this workflow

  • Add Slack or Discord notifications for new tools.
  • Push enriched data to Airtable, Notion, or a database.
  • Extend AI enrichment with summaries or SEO fields.
  • Use the Google Sheet as a backend for dashboards or frontend applications.

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 - Section: Initialization

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

Block 2 - Section: Data Fetching

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

Block 3 - Section: Duplicate Check

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

Block 4 - Section: AI Enrichment

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

Block 5 - Section: Persistence & Control

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

Block 6 - Save Enriched Tool to Sheet

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.5

Block 7 - Is Tool New?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 8 - Lookup Existing Tool by Title

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.6

Block 9 - Safety Limit Check (>50 iterations)

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 10 - OpenAI GPT-4.1 Mini

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 11 - Daily Trigger at 9 AM

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 12 - Clean & Parse AI JSON Output

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 13 - Extract Pagination Info

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 14 - Restructure API Response to JSON

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 15 - Update Category Dictionary (Write)

Type / Role
n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices
Version 4.5

Block 16 - Lookup Category Dictionary (Read)

Type / Role
n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices
Version 4.5

Block 17 - Fetch Products from Product Hunt API

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 18 - AI Agent: Translate & Enrich Product Data

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.7

Block 19 - Rate Limit: Wait 15 Seconds

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 20 - Initialize Starting Cursor

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 21 - Has Next Page?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 22 - Continue Loop

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

Block 23 - Workflow Overview

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

3. Summary Table

Workflow AI-powered Product Hunt data collection & translation with GPT-4 and Google Sheets
Complexity advanced
Nodes 23
Categories Market Research, AI Summarization
Author Amine ARAGRAG
Published 13 Nov 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/10791/10791.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does AI-powered Product Hunt data collection & translation with GPT-4 and Google Sheets do?

This n8n template automates the collection and enrichment of Product Hunt posts using AI and Google Sheets. It fetches new tools daily, translates content, categorizes them intelligently, and saves...

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.