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Amazon price drop analysis with Decodo, GPT-4.1-mini & Google Sheets integration

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Amazon price drop analysis with Decodo, GPT-4.1-mini & Google Sheets integration 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 workflow automatically scrapes Amazon price drop data via Decodo, extracts structured product details with OpenAI, generates summaries and sentiment insights for each item, and saves everythin...

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.splitout, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.merge, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.outputparserstructured

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
Amazon price drop analysis with Decodo, GPT-4.1-mini & Google Sheets integration
Workflow name
Amazon price drop analysis with Decodo, GPT-4.1-mini & Google Sheets integration

This workflow automatically scrapes Amazon price-drop data via Decodo, extracts structured product details with OpenAI, generates summaries and sentiment insights for each item, and saves everything to Google Sheets — creating a fully automated price-intelligence pipeline.

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 designed for e-commerce analysts, product researchers, price-tracking teams, and affiliate marketers who want to:

  • Monitor daily Amazon product price drops automatically.
  • Extract key information such as product name, price, discount, and links.
  • Generate AI-driven summaries and sentiment insights on the latest deals.
  • Store all structured data directly in Google Sheets for trend analysis and reporting.

What problem this workflow solves

This workflow solves the following:

  • Eliminates the need for manual data scraping or tracking.
  • Turns unstructured web data into structured datasets.
  • Adds AI-generated summaries and sentiment analysis for smarter decision-making.
  • Enables automated, daily price intelligence tracking across multiple product categories.

What this workflow does

This automation combines Decodo’s web scraping, OpenAI GPT-4.1-mini, and Google Sheets to deliver an end-to-end price intelligence system.

Trigger & Setup

Web Scraping via Decodo

  • Decodo scrapes the Amazon price-drop listings and extracts product details (title, price, savings, product link).

LLM-Powered Data Structuring

  • The extracted content is sent to OpenAI GPT-4.1-mini to format and clean the output into structured JSON fields.

Loop & Deep Analysis

  • Each product URL is revisited by Decodo for content enrichment.
  • The AI performs two analyses per product:
    • Summarization: Generates a comprehensive summary of the product.
    • Sentiment Analysis: Detects tone (positive/neutral/negative), sentiment score, and key topics.

Aggregation & Storage

  • All enriched results are merged and aggregated.
  • Structured data is automatically appended to a connected Google Sheet.

End Result:

A ready-to-use dataset showing each price-dropped product, its summary, sentiment polarity, and key highlights updated in real time.

Setup

Pre-requisite

Please make sure to install the n8n custom node for Decodo.

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

Import and Connect Credentials

Import the workflow into your n8n self-hosted instance.

Connect:

  • OpenAI API (GPT-4.1-mini) → for summarization and sentiment analysis
  • Decodo API → for real-time price-drop scraping
  • Google Sheets OAuth2 → to save structured results

Configure Input Fields

In the “Set input fields” node:

  • Update the price_drop_url to your target URL (e.g., https://camelcamelcamel.com/top_drops?t=weekly).

Run the Workflow

Click “Execute Workflow” or schedule it to run daily to automatically fetch and analyze new price-drop listings.

Check Output

  • The aggregated data is saved to a Google Sheet (Pricedrop Info).
  • Each record contains:
    • Product name
    • Current price and savings
    • Product link
    • AI-generated summary
    • Sentiment classification and score

How to customize this workflow

Change Source

  • Replace the price_drop_url with another CamelCamelCamel or Amazon Deals URL.
  • Add multiple URLs and loop through them for category-based price tracking.

Modify Extraction Schema

  • In the Structured Output Parser, modify the JSON schema to include fields like:
    • category, brand, rating, or availability.

Tune AI Prompts

  • Edit the Summarize Content and Sentiment Analysis nodes to:
    • Add tone analysis (e.g., promotional vs. factual).
    • Include competitive product comparison.

Integrate More Destinations

  • Replace Google Sheets with:
    • Airtable → for no-code dashboards.
    • PostgreSQL/MySQL → for large-scale storage.
    • Notion or Slack → for instant price-drop alerts.

Automate Scheduling

  • Add a Cron Trigger node to run this workflow daily or hourly.

Summary

This workflow creates a fully automated price intelligence system that:

  • Scrapes Amazon product price drops via Decodo.
  • Extracts structured data with OpenAI GPT-4.1-mini.
  • Generates AI-powered summaries and sentiment insights.
  • Updates a connected Google Sheet with each run.

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 ‘Test workflow’

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

Block 2 - Set input fields

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

Block 3 - Split Out

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

Block 4 - Loop Over Items

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

Block 5 - Sentiment Analysis

Type / Role
@n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices
Version 1.1

Block 6 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.1

Block 7 - Update Google Sheets

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

Block 8 - Structured Output Parser

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

Block 9 - Structure Data Extract Using LLM

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

Block 10 - Aggregate

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

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 - Decodo

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

Block 14 - OpenAI Chat Model

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

Block 15 - Decodo Loop Web Scraper

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

Block 16 - OpenAI Chat Model for Sentiment Analysis

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

Block 17 - Summarize Content

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

Block 18 - OpenAI Chat Model for Summarize Content

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

Block 19 - Sticky Note2

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

Block 20 - Sticky Note5

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 Note4

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

Block 23 - Sticky Note6

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

Block 24 - Sticky Note7

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

3. Summary Table

Workflow Amazon price drop analysis with Decodo, GPT-4.1-mini & Google Sheets integration
Complexity advanced
Nodes 24
Categories Market Research, AI Summarization
Author Ranjan Dailata
Published 18 Nov 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/10962/10962.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 Amazon price drop analysis with Decodo, GPT-4.1-mini & Google Sheets integration do?

This workflow automatically scrapes Amazon price drop data via Decodo, extracts structured product details with OpenAI, generates summaries and sentiment insights for each item, and saves everythin...

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.