Block 1 - When clicking ‘Execute 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.
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...
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
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ranjan Dailata.
Original n8n.io sourceThe 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.
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 ideal for:
Manually extracting Amazon product details, ads, pricing, reviews, and competitive signals is:
This workflow automates:
This workflow performs an end-to-end product intelligence pipeline, including:
Extracts:
Generates:
Aggregates results
Writes final dataset to Google Sheets for:
If you are new to Decode, please signup on this link visit.decodo.com
Make sure to install the Decodo Community Node.
Modify in Set the Input Fields node:
product_url = https://www.amazon.in/Sony-DualSense-Controller-Grey-PlayStation/dp/B0BQXZ11B8
You can easily adapt this workflow for various use cases.
Modify:
product_url
In OpenAI nodes:
gpt-4.1-miniEdit Product Insights node to include:
You may extract:
Replace Google Sheets with:
Loop over:
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.
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 | 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 |
Use the JSON export at /data/workflows/11131/11131.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.
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...
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.