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.
Amazon Product Scraper with Scrape.do & AI Enrichment This workflow is a fully automated Amazon product data extraction engine. It reads product URLs from a Google Sheet, uses Scrape.do to rel...
n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googlesheets, n8n-nodes-base.splitinbatches, n8n-nodes-base.httprequest, n8n-nodes-base.html, @n8n/n8n-nodes-langchain.chainllm
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Onur.
Original n8n.io source> This workflow is a fully automated Amazon product data extraction engine. It reads product URLs from a Google Sheet, uses Scrape.do to reliably fetch each product page’s HTML without getting blocked, and then applies an AI-powered extraction process to capture key product details such as name, price, rating, review count, and description. All structured results are neatly stored back into a Google Sheet for easy access and analysis.
This template is designed for consistency and scalability—ideal for marketers, analysts, and e-commerce professionals who need clean product data at scale.
Split In Batches to process as many products as you need.TRACK_SHEET_GID).SCRAPEDO_TOKEN.RESULTS_SHEET_GID).Manual Trigger / Schedule TriggerGoogle Sheets (read & append)Split In BatchesHTTP Request (Scrape.do)Code (clean & pre-extract HTML)LangChain LLM (OpenRouter GPT-4)Structured Output ParserTRACK_SHEET_GID: tab containing product URLs.RESULTS_SHEET_GID: tab for results.SCRAPEDO_TOKEN – your Scrape.do API key.WEB_SHEET_ID – Google Sheet ID.TRACK_SHEET_GID – sheet/tab name for input URLs.RESULTS_SHEET_GID – sheet/tab name for results.This Amazon Product Scraper delivers fast, reliable, and AI-enriched product data, ensuring your e-commerce analytics, pricing strategies, or market research stay accurate and fully automated.
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 | Extract Amazon product data with Scrape.do, GPT-4 & Google Sheets |
|---|---|
| Complexity | intermediate |
| Nodes | 11 |
| Categories | Market Research, AI Summarization |
| Author | Onur |
| Published | 17 Sept 2025 |
Use the JSON export at /data/workflows/8678/8678.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.
Amazon Product Scraper with Scrape.do & AI Enrichment This workflow is a fully automated Amazon product data extraction engine. It reads product URLs from a Google Sheet, uses Scrape.do to rel...
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.