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Scrape and analyze Amazon product info with Decodo + OpenAI

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Scrape and analyze Amazon product info with Decodo + OpenAI preview
Open on n8n.io

Important notice

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

1. Workflow Overview

The Scrape and Analyze Amazon Product Info with Decodo + OpenAI workflow automates the process of extracting product information from an Amazon product page and transforming it into meaningful insi...

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, @decodo/n8n-nodes-decodo.decodo, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.informationextractor, @n8n/n8n-nodes-langchain.chainllm

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Scrape and analyze Amazon product info with Decodo + OpenAI
Workflow name
Scrape and analyze Amazon product info with Decodo + OpenAI

The Scrape and Analyze Amazon Product Info with Decodo + OpenAI workflow automates the process of extracting product information from an Amazon product page and transforming it into meaningful insights.

The workflow then uses OpenAI to generate descriptive summaries, competitive positioning insights, and structured analytical output based on the extracted information.

Disclaimer

Please note - This workflow is only available on n8n self-hosted as it’s making use of the community node for the Decodo Web Scraping

Who this is for?

This workflow is ideal for:

  • E-commerce product researchers
  • Marketplace sellers (Amazon, Flipkart, Shopify, etc.)
  • Competitive intelligence teams
  • Product comparison bloggers and reviewers
  • Pricing and product analytics engineers
  • Automation builders needing AI-powered product insights

What problem is this workflow solving?

Manually extracting Amazon product details, ads, pricing, reviews, and competitive signals is:

  • Time-consuming
  • Requires switching across tools
  • Difficult to analyze at scale
  • Not structured for reporting
  • Hard to compare products objectively

This workflow automates:

  • Web scraping of Amazon product pages
  • Extraction of product features and ad listings
  • AI-generated product summaries
  • Competitive positioning analysis
  • Generation of structured product insight output
  • Export to Google Sheets for tracking and reporting

What this workflow does

This workflow performs an end-to-end product intelligence pipeline, including:

Data Collection

  • Scrapes an Amazon product page using Decodo
  • Retrieves product details and advertisement placements

Data Extraction

  • Extracts:

    • Product specs
    • Key feature descriptions
    • Ads data
    • Supplemental metadata

AI-Driven Analysis

  • Generates:

    • Descriptive product summary
    • Competitive positioning insights
    • Structured product insight schema

Data Consolidation

  • Merges descriptive, analytical, and structured outputs

Export & Persistence

  • Aggregates results

  • Writes final dataset to Google Sheets for:

    • tracking
    • comparison
    • reporting
    • product research archives

Setup

Prerequisites

If you are new to Decode, please signup on this link visit.decodo.com

  • n8n instance
  • Decodo API credentials
  • OpenAI API credentials

Make sure to install the Decodo Community Node.

Required Credentials

Decodo API
  1. Go to Credentials
  2. Add Decodo API
  3. Enter API key
  4. Save as: Decodo Credentials account
OpenAI API
  1. Go to Credentials
  2. Select OpenAI
  3. Enter API key
  4. Save as: OpenAi account
Google Sheets
  1. Add Google Sheets OAuth
  2. Authorize via Google
  3. Save as desired account

Inputs to configure

Modify in Set the Input Fields node:

product_url = https://www.amazon.in/Sony-DualSense-Controller-Grey-PlayStation/dp/B0BQXZ11B8

How to customize this workflow to your needs

You can easily adapt this workflow for various use cases.

Change the product being analyzed

Modify:

product_url

Change AI model

In OpenAI nodes:

  • Replace gpt-4.1-mini
  • Use Gemini, Claude, Mistral, Groq (if supported)

Customize the insight schema

Edit Product Insights node to include:

  • sustainability markers
  • sentiment extraction
  • pricing bands
  • safety compliance
  • brand comparisons

Expand data extraction

You may extract:

  • product reviews
  • FAQs
  • Q&A
  • seller information
  • delivery and logistics signals

Change output destination

Replace Google Sheets with:

  • PostgreSQL
  • MySQL
  • Notion
  • Slack
  • Airtable
  • Webhook delivery
  • CSV export

Turn it into a batch processor

Loop over:

  • multiple ASINs
  • category listings
  • search results pages

Summary

This workflow provides a complete automated product intelligence engine, combining Decodo’s scraping capabilities with OpenAI’s analytical reasoning to transform Amazon product pages into structured insights, competitive analysis, and summarized evaluations automatically stored for reporting and comparison.

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 - Set the Input Fields

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

Block 3 - Decodo Web scrape for Amazon Products

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

Block 4 - Extract Product Details

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

Block 5 - Extract Ads

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

Block 6 - OpenAI Chat Model

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

Block 7 - Structured Output Parser

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

Block 8 - OpenAI Chat Model for Amazon Product Mining

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

Block 9 - Product Insights

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

Block 10 - Product Descriptive Summarizer

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

Block 11 - Sticky Note

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

Block 12 - Sticky Note1

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

Block 13 - Sticky Note2

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 - Competitive Analysis

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

Block 16 - OpenAI Chat Model for Competitive Analysis

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

Block 17 - Sticky Note3

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

Block 18 - Sticky Note4

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

Block 19 - Append or update row in sheet

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

Block 20 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 21 - Aggregate

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

Block 22 - Sticky Note6

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

Block 23 - Sticky Note7

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

Block 24 - Sticky Note8

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

3. Summary Table

Workflow Scrape and analyze Amazon product info with Decodo + OpenAI
Complexity advanced
Nodes 24
Categories Market Research, AI Summarization
Author Ranjan Dailata
Published 22 Nov 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/11131/11131.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 Scrape and analyze Amazon product info with Decodo + OpenAI do?

The Scrape and Analyze Amazon Product Info with Decodo + OpenAI workflow automates the process of extracting product information from an Amazon product page and transforming it into meaningful insi...

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.