Guide
·
8 min read

Automating Amazon Product Research with n8n: A Step-by-Step Setup

Learn how to automate Amazon product research using n8n. Streamline data collection on pricing, reviews, and competitors with this step-by-step workflow setup for e-commerce professionals.

C

Certified n8n Expert

Automating Amazon Product Research with n8n: A Step-by-Step Setup

Automating Amazon Product Research with n8n: A Step-by-Step Setup

Introduction

For e-commerce entrepreneurs and product managers, Amazon product research is a critical yet time-consuming process. Typically, sellers and analysts spend countless hours manually gathering data on product prices, competitor listings, and customer reviews. This manual effort slows down decision-making and delays time to market for new products.

Luckily, n8n offers a powerful no-code/low-code automation platform that can streamline and accelerate Amazon market research. By building a tailored workflow, you can automatically fetch key product data such as price, ratings, and review counts for specific ASINs or keywords. From there, the data can be aggregated, analyzed, and used to trigger alerts—giving you an actionable edge in a highly competitive marketplace.

In this guide, we walk you through a step-by-step setup of an n8n workflow that automates Amazon product research, removes operational drag, and empowers faster, smarter product decisions.

Why Automate Amazon Product Research?

Manual research on Amazon takes hours each day, and the competitive landscape shifts rapidly. Sellers need to monitor competitor price changes, track emerging niche products with high demand and low competition, and adapt quickly.

Benefits of automation with n8n:

  • Speed: Get real-time updated data without lifting a finger.
  • Accuracy: Eliminate human error in data collection.
  • Scalability: Research hundreds or thousands of products simultaneously.
  • Agility: Instantly respond to price changes or new opportunities.

This automation turns product research from a bottleneck into a strategic advantage.

Core Workflow Overview

The workflow consists of three main stages:

  1. Discover Products: Input a list of ASINs (Amazon Standard Identification Numbers) or relevant keywords.
  2. Collect Data: Use n8n's HTTP Request node or an Amazon API integration to retrieve live product details—pricing, rating, review counts.
  3. Analyze & Alert: Compile results in Google Sheets or a database and send notifications when conditions like price drops or desirable market gaps are detected.

Prerequisites

  • An n8n instance (Cloud or self-hosted)
  • Amazon Product Advertising API access or a reliable scraping approach
  • Google Sheets account or access to a cloud database
  • Basic familiarity with n8n interface

Step-by-Step Setup

Step 1: Input Your Product List

  • Use an n8n Spreadsheet File node or Google Sheets node to import your list of ASINs or keywords.
  • Configure the node to read the product identifiers in batch.

Step 2: Fetch Product Data from Amazon

  • Use the HTTP Request node or a prebuilt Amazon API node if available.

  • Configure the node to make API calls or scrape product details including:

    • Price
    • Average Rating
    • Number of Reviews

  • Optionally add a Code node to parse HTML if direct API access isn’t available.

Step 3: Aggregate Data

  • Connect the data output to a Google Sheets node or a database insertion node.
  • Enable updates or appends to maintain a dynamic product dashboard.

Step 4: Set Up Alerts and Notifications

  • Use a IF node to evaluate key criteria, e.g., price drops or high demand/low competition signals.
  • Add a Slack or Email node to send real-time alerts to your team.

Business Impact

This automation compresses hours of manual research into minutes, enabling sellers to accelerate product launches and adapt pricing dynamically. Faster insights translate into improved market responsiveness and increased revenue potential.

Accessibility and Customization

No heavy coding required—n8n’s connectors make this workflow accessible to users with moderate technical skills. A bit of JavaScript in the Code node may be needed for complex parsing, but this can be customized per business requirements.

Summary

Automating Amazon product research with n8n is a strategic investment that eliminates operational drag and scales your competitive intelligence. By following this setup, small sellers and SaaS e-commerce tools gain a production-ready workflow that delivers measurable business outcomes and sharper market insights.

Need help implementing this workflow? See our Custom n8n Integration Services to accelerate your automation journey.

FAQ

Q1: Can this workflow handle large volumes of products? Yes, n8n is designed to process thousands of records, though API rate limits should be considered.

Q2: What if the Amazon API is unavailable? You can implement scraping techniques with the HTTP Request node coupled with parsing in the Code node, though this requires adherence to Amazon's terms of service.

Q3: Can I add more data sources? Absolutely. This workflow is modular and allows adding other APIs or databases for enriched insights.

Q4: What costs are involved? Costs depend on API usage levels and your n8n tier. Google Sheets integration is free up to quotas.

Q5: Is this suitable for beginners? Yes, with basic n8n familiarity and our detailed guide, most users can implement this workflow.

References

Image Descriptions:

  • Workflow diagram illustrating the automation from product input → data fetching → aggregation → alert notifications.
  • Screenshot of n8n canvas showing HTTP Request and Google Sheets nodes configured.

Alt texts:

  • "n8n workflow for Amazon product research automation"
  • "n8n HTTP Request node setup for Amazon API data fetching"

This guide was authored by a team of certified n8n experts dedicated to delivering enterprise-grade automations that accelerate e-commerce growth.