This article provides a complete, practical walkthrough of the Schedule Http Monitor Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automated Amazon Price Tracking Using n8n and ScrapeOps
   
   Meta Description:  
   Learn how to build an automated Amazon price tracker with n8n, Google Sheets, ScrapeOps, and scheduled email alerts. Track pricing trends, trigger alerts based on thresholds, and maintain historical data effortlessly.
   
   Keywords:
   - Amazon price tracker
   - n8n workflow
   - ScrapeOps API
   - Google Sheets automation
   - price monitoring
   - automated price alerts
   - Amazon product monitoring
   - email notifications
   - structured data scraping
   - eCommerce tracking
   
   Third-Party APIs/Services Used:
   
   1. ScrapeOps Amazon Product API  
      - Purpose: Fetch structured product data (name, price, average rating, etc.) from Amazon.  
      - Documentation: https://scrapeops.io/docs/data-api/amazon-product-api/
   
   2. Google Sheets API via n8n (uses OAuth2 credentials)  
      - Purpose: Read and write product data to spreadsheets, maintain price history, and update monitoring data.
   
   3. SMTP Email API (connected through n8n emailSend node)  
      - Purpose: Send automated price change alerts with cleanly formatted email templates.
   
   — Article Begins Below —
   
   Amazon Price Tracking Made Simple with n8n and ScrapeOps
   
   In today’s fast-paced eCommerce landscape, prices fluctuate frequently, often influenced by competitor activity, demand, or stock levels. Keeping tabs on Amazon product pricing can be daunting if done manually. That’s where automation comes in.
   
   This article outlines how to create a fully automated pricing tracker using n8n, ScrapeOps’ Amazon Product API, Google Sheets, and email alerts. Whether you're an eCommerce business, a reseller, or a savvy shopper, this workflow empowers you to monitor products, receive timely alerts, and maintain a historical record of price changes—with zero manual effort.
   
   Overview: What the Workflow Does
   
   The “Amazon Product Price Tracker” is an n8n workflow that automates scheduled price checks for selected Amazon ASINs. It:
   
   - Retrieves up-to-date product data via ScrapeOps.
   - Calculates price and percentage changes.
   - Compares new prices to alert thresholds (high/low).
   - Updates historical and real-time product tracking logs in Google Sheets.
   - Sends stylish HTML email alerts when thresholds are breached.
   
   Let’s take a closer look at how it works under the hood.
   
   1. Define Your Product Watchlist
   
   The backbone of this automation is a centralized Google Sheet titled "Products to Monitor". Here, you enter the Amazon Standard Identification Numbers (ASINs) of the products you want to track. Each entry includes custom threshold values to determine price jump alerts. The spreadsheet acts as both a configuration database and a real-time status board, updated automatically by the workflow.
   
   2. Scheduling the Automation
   
   Every few hours (as specified in the Schedule Trigger node), the workflow activates. It kicks off by reading your spreadsheet to retrieve the list of product ASINs you’re tracking.
   
   3. Fetch Product Data via ScrapeOps
   
   For each ASIN, the ScrapeOps Amazon Product API is queried. This API provides structured and clean product data, including:
   
   - Product Name
   - Current price (parsed into number)
   - Average customer rating
   
   This eliminates the need to wrestle with complicated Amazon HTML or unpredictable web scraping.
   
   4. Track Price Changes
   
   The workflow then:
   
   - Retrieves the last known price.
   - Calculates price difference and percentage change.
   - Compares this against your low/high threshold settings.
   - Labels the change using an “alert status” (e.g., High, Low, or No Change).
   
   This logic ensures only significant price movements lead to alerts, avoiding unnecessary noise.
   
   5. Record Historical Pricing
   
   To create a detailed pricing timeline, every update is appended to a “Price History” sheet, storing:
   
   - ASIN
   - Current price
   - Timestamp
   
   Over time, this historical data becomes valuable for trend analysis or forecasting.
   
   6. Alert and Notify
   
   If a price crosses a defined threshold, the workflow sends a professional HTML email with key details:
   
   - Product name and ASIN
   - Previous vs. current pricing
   - Dollar and percentage difference
   - Quick button to view the product on Amazon
   
   This notification system ensures you’re always aware of significant shifts, whether it's a vendor increasing supply-chain costs or a flash discount opportunity.
   
   7. Update Google Sheets Continuously
   
   Finally, the main monitoring sheet is updated with:
   
   - The new price
   - Price change and percentage change
   - Product name and URL
   - Average rating
   - Timestamp of last update
   - Alert status ("High", "Low", or blank)
   
   Each row reflects the most recent status of that product in real time, providing at-a-glance insights.
   
   Visual & User-Friendly Email Alerts
   
   No one likes messy emails. This workflow features a polished HTML alert template with styled text, tables displaying pricing deltas, and actionable buttons that link directly to the product. It represents a helpful, non-intrusive notification system you can customize or expand.
   
   Customization Tips
   
   - Add a Telegram or Slack integration to receive instant mobile alerts.
   - Expand status thresholds to include stock level tracking.
   - Integrate a database for persistent, scalable storage if you track thousands of products.
   - Replace manual inputs with a webform interface or CRM feed for teams.
   
   Security & API Setup
   
   To get started, you’ll need:
   
   - A ScrapeOps account and API key (https://scrapeops.io/app/register/main)
   - Your own copy of the provided Google Sheets template
   - Email credentials to connect your SMTP server (e.g., Gmail, Outlook, AWS SES)
   
   Final Thoughts
   
   With over 240 nodes available in n8n, this workflow shows the power of combining low-code automation tools with real-time data APIs. Whether you’re monitoring five key products or a hundred niche item listings, this Amazon price tracker saves time, adds efficiency, and boosts data-driven decision-making. Perfect for eCommerce analysts, dropshippers, and savvy consumers alike.
   
   Set it up once—and stay updated forever.
   
   — End of Article —

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.