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Extract & analyze Amazon reviews with Apify, Gemini AI & save to Google Sheets

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Extract & analyze Amazon reviews with Apify, Gemini AI & save to Google Sheets preview
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Important notice

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

1. Workflow Overview

Template Description Template Title Analyze Amazon product reviews with Gemini and save to Google Sheets Description This workflow automates the process of analyzing customer feedback on Amaz...

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-base.set, n8n-nodes-base.splitinbatches, n8n-nodes-base.slack, n8n-nodes-base.code, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.googlegemini, @apify/n8n-nodes-apify.apify

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by 小林幸一.

Original n8n.io source

1.1 Workflow description

Title
Extract & analyze Amazon reviews with Apify, Gemini AI & save to Google Sheets
Workflow name
Extract & analyze Amazon reviews with Apify, Gemini AI & save to Google Sheets

Template Description

📝 Template Title

Analyze Amazon product reviews with Gemini and save to Google Sheets

📄 Description

This workflow automates the process of analyzing customer feedback on Amazon products. Instead of manually reading through hundreds of reviews, this template scrapes reviews (specifically targeting negative feedback), uses Google Gemini (AI) to analyze the root causes of dissatisfaction, and generates specific improvement suggestions. The results are automatically logged into a Google Sheet for easy tracking, and a Slack notification is sent to keep your team updated.

This tool is essential for understanding "Voice of Customer" data efficiently without manual data entry.

🧍 Who is this for

  • Product Managers looking for product improvement ideas.
  • E-commerce Sellers (Amazon FBA, D2C) monitoring brand reputation.
  • Market Researchers analyzing competitor weaknesses.
  • Customer Support Teams identifying recurring issues.

⚙️ How it works

  1. Data Collection: The workflow triggers the Apify actor (junglee/amazon-reviews-scraper) to fetch reviews from a specified Amazon product URL. It is currently configured to filter for 1 and 2-star reviews to focus on complaints.
  2. AI Analysis: It loops through each review and sends the content to Google Gemini. The AI determines a sentiment score (1-5), categorizes the issue (Quality, Design, Shipping, etc.), summarizes the complaint, and proposes a concrete improvement plan.
  3. Formatting: A Code node parses the AI's response to ensure it is in a clean JSON format.
  4. Storage: The structured data is appended as a new row in a Google Sheet.
  5. Notification: A Slack message is sent to your specified channel to confirm the batch analysis is complete.

🛠️ Requirements

  • n8n (Self-hosted or Cloud)
  • Apify Account: You need to rent the junglee/amazon-reviews-scraper actor.
  • Google Cloud Account: For accessing the Gemini (PaLM) API and Google Sheets API.
  • Slack Account: For receiving notifications.

🚀 How to set up

  1. Apify Config: Enter your Apify API token in the credentials. In the "Run an Actor" node, update the startUrls to the Amazon product page you want to analyze.
  2. Google Sheets: Create a new Google Sheet with the following header columns: sentiment_score, category, summary, improvement. Copy the Spreadsheet ID into the Google Sheets node.
  3. AI Prompt: The "Message a model" node contains the prompt. It is currently set to output results in Japanese. If you need English output, simply translate the prompt text inside this node.
  4. Slack: Select the channel where you want to receive notifications in the Slack node.

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 - Manual Trigger

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

Block 2 - Workflow Configuration

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

Block 3 - Loop Over Reviews

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

Block 4 - Slack - Send Completion Notification

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

Block 5 - Code (Parse JSON)1

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

Block 6 - Create spreadsheet

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

Block 7 - Message a model

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

Block 8 - Run an Actor and get dataset

Type / Role
@apify/n8n-nodes-apify.apify - apify
Config choices
Version 1

Block 9 - Sticky Note

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

Block 10 - Sticky Note1

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

Block 11 - Sticky Note2

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

Block 12 - Sticky Note3

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

Block 13 - Sticky Note4

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

Block 14 - Sticky Note5

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

Block 15 - Sticky Note6

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

3. Summary Table

Workflow Extract & analyze Amazon reviews with Apify, Gemini AI & save to Google Sheets
Complexity advanced
Nodes 15
Categories Market Research, AI Summarization
Author 小林幸一
Published 20 Nov 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/11027/11027.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 Extract & analyze Amazon reviews with Apify, Gemini AI & save to Google Sheets do?

Template Description Template Title Analyze Amazon product reviews with Gemini and save to Google Sheets Description This workflow automates the process of analyzing customer feedback on Amaz...

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.