Block 1 - When clicking ‘Test workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
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...
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
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ranjan Dailata.
Original n8n.io sourceThis 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.
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
This workflow is designed for e-commerce analysts, product researchers, price-tracking teams, and affiliate marketers who want to:
This workflow solves the following:
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
LLM-Powered Data Structuring
Loop & Deep Analysis
Aggregation & Storage
End Result:
A ready-to-use dataset showing each price-dropped product, its summary, sentiment polarity, and key highlights updated in real time.
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 the workflow into your n8n self-hosted instance.
Connect:
In the “Set input fields” node:
price_drop_url to your target URL (e.g., https://camelcamelcamel.com/top_drops?t=weekly).Click “Execute Workflow” or schedule it to run daily to automatically fetch and analyze new price-drop listings.
Pricedrop Info).price_drop_url with another CamelCamelCamel or Amazon Deals URL.category, brand, rating, or availability.This workflow creates a fully automated price intelligence system that:
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.
| 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 |
Use the JSON export at /data/workflows/10962/10962.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
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...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.