Block 1 - Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
This workflow automates the process of monitoring Amazon product prices and sending alerts when a product’s price drops below a defined threshold. It integrates ScrapeGraphAI , Google Sheets , and ...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.manualtrigger, n8n-nodes-scrapegraphai.scrapegraphai, n8n-nodes-base.merge, n8n-nodes-base.if, n8n-nodes-base.googlesheets, n8n-nodes-base.telegram, n8n-nodes-base.splitinbatches
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Davide.
Original n8n.io sourceThis workflow automates the process of monitoring Amazon product prices and sending alerts when a product’s price drops below a defined threshold.
It integrates ScrapeGraphAI, Google Sheets, and Telegram to provide a complete end-to-end price tracking system.
💡 Intelligent Scraping
📊 Centralized Tracking
⚡ Real-Time Alerts
🔁 Fully Automated
🧩 Modular & Extensible
🕒 Time-Efficient
This automated workflow tracks Amazon product prices and sends an alert via Telegram when a product hits a new lowest price. Here's the process:
Trigger & Data Fetch: The workflow is initiated either on a scheduled basis (every 10 minutes) or manually. It first connects to a designated Google Sheet, which acts as a database, to fetch a list of products to monitor. Each product's details (Name, URL, and current "MIN PRICE") are read.
Price Scraping & Comparison: The workflow loops through each product from the sheet. For each product, it uses ScrapeGraphAI to navigate to the Amazon product page, render JavaScript-heavy content, and extract the current price. This newly scraped price is then compared to the "MIN PRICE" value stored in the Google Sheet for that product.
Conditional Alert & Update:
To implement this workflow yourself, follow these steps:
Prepare the Google Sheet:
PRODUCT (name), URL (the full Amazon product link), and MIN PRICE. When adding a new product, set the MIN PRICE to a very high value (e.g., 9999) to ensure the first real price triggers an alert.Configure n8n Credentials:
chatId for the node.Contact me for consulting and support or add me on Linkedin.
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 | Track Amazon product prices with ScrapeGraphAI, Google Sheets & Telegram alerts |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | Market Research, AI Summarization |
| Author | Davide |
| Published | 24 Oct 2025 |
Use the JSON export at /data/workflows/10115/10115.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 automates the process of monitoring Amazon product prices and sending alerts when a product’s price drops below a defined threshold. It integrates ScrapeGraphAI , Google Sheets , and ...
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.