This article provides a complete, practical walkthrough of the Functionitem Executecommand Update Webhook 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:**  
   Automate Price Monitoring with n8n: A Workflow for Tracking and Notifying Better Deals
   
   **Meta Description:**  
   Learn how to automate real-time price monitoring and get instant email notifications when product prices drop, using n8n. This powerful low-code workflow helps you stay updated on the best online deals for e-commerce products.
   
   **Keywords:**  
   n8n workflow, price monitoring automation, e-commerce scraper, price alert n8n, HTML price extraction, product tracking, price drop notifications, n8n HTTP request, email alerts, low-code automation
   
   **Third-party APIs and Services Used:**
   
   - Email (SMTP) Service via n8n's Email Send node (using custom SMTP credentials, specifically: hostovecky@weyou.sk)
   - HTTP Requests via native n8n HttpRequest node (scrapes HTML content—does not rely on a specific external API)
   - HTML content parsing via n8n HTML Extract node
   
   ---
   
   ### Full Article: Automate Price Monitoring with n8n: Stay Alert on the Best Deals
   
   In the world of online shopping, catching a product when the price drops can sometimes be a matter of luck—or timing. But what if you didn’t have to monitor product pages manually? What if a robot did it for you 24/7 and sent you an email as soon as a better deal appeared?
   
   With the powerful open-source automation tool n8n, this is not only possible but elegantly efficient. In this article, we explore a complete, production-ready n8n workflow that automates the task of monitoring product prices on various e-commerce websites and notifies you via email as soon as it detects a price drop.
   
   Let’s break down what this workflow does and how it works.
   
   ---
   
   ### What the Workflow Does
   
   This n8n workflow automates the process of:
   
   1. Periodically checking the prices of multiple user-defined products on e-commerce websites.
   2. Extracting price values using precise CSS selectors.
   3. Comparing newly retrieved prices with previously stored values.
   4. Notifying you via email when a better (lower) price becomes available.
   5. Logging and storing the most recent prices for historical comparison.
   
   It supports multiple items, detects missing or erroneous data, and can be run every 15 minutes, ensuring timely updates.
   
   ---
   
   ### Step-by-Step Breakdown of the Workflow
   
   #### 1. Triggering the Workflow
   
   The workflow starts with a Cron node that triggers execution every 15 minutes. This ensures the system consistently scans the online stores for price updates.
   
   #### 2. Resetting Iteration and Loading Product Watch List
   
   The next few nodes initialize an iteration counter and load a predefined list of items to watch. Each item includes properties like:
   
   - Slug (unique identifier)
   - Link (URL to the product)
   - Selector (CSS selector for the price element)
   - Currency (e.g., EUR)
   
   All product metadata is declared in the changeME node through a function and stored in global static data.
   
   #### 3. Fetching Web Page HTML & Extracting Prices
   
   Each loop takes one item:
   
   - It uses the HTTP Request node to fetch the HTML content of the product page.
   - The HTML Extract node then applies the item-specific CSS selector to extract the current price.
   
   This decoupling of the data source and value selector means you can monitor almost any product page, provided its price is inside a consistently structured DOM element.
   
   #### 4. Price Validation and Error Handling
   
   If the extracted price is invalid (like zero, NaN, or fails the pattern), an alert is sent via email notifying the user of a bad selector or link configuration. This allows for real-time debugging and corrective action.
   
   #### 5. Price Conversion and Comparison
   
   Next, the price string is standardized (e.g., replacing commas with dots) and parsed as a float number. This normalized price is then compared with the existing stored price.
   
   If the JSON price storage (`kopacky.json`) doesn’t exist, it is generated and saved for future comparisons.
   
   If the price is valid, the system proceeds to compare the newly extracted price against the last recorded price for that item:
   
   - If the new price is lower than the saved price, an alert is triggered using an Email node.
   - The stored price is updated to reflect the new lower value.
   - If no change is detected, the system simply loops back and proceeds to the next item.
   
   The "iteration" mechanism using global workflow data ensures that each product is processed one after the other, even in an automated loop.
   
   #### 6. Email Notification on Price Drop
   
   If a better price is found, the Email Send node fires off a detailed notification to a preconfigured inbox. The email includes:
   
   - The product slug/name
   - The new and old prices
   - The product URL
   
   This real-time update ensures users can act swiftly and make a purchase before the deal disappears.
   
   #### 7. JSON File Management
   
   All prices are stored in a JSON file (`/data/kopacky.json`). Nodes like Write Binary File, Move Binary Data, and Read Binary File work together to read, convert, and update the data accordingly. This local storage enables persistent price tracking across multiple executions of the workflow.
   
   ---
   
   ### Use Cases
   
   - Power shoppers tracking e-commerce discounts
   - Resellers searching for arbitrage opportunities
   - Businesses monitoring competitor pricing
   - Budget-conscious consumers waiting for price reductions
   
   ---
   
   ### Why Use n8n?
   
   This workflow exemplifies the power of n8n’s flexibility and low-code approach:
   
   - No need to depend on third-party price APIs
   - Customization with JavaScript functions
   - Full control over the structure and flow of data
   - Alerts and storage handled entirely within the n8n ecosystem
   
   Unlike standalone apps or browser plug-ins, this solution can scale, adapt, and evolve based on your specific needs.
   
   ---
   
   ### Future Improvements
   
   - Adding a Telegram or Slack notification integration
   - Historical price tracking via database or Google Sheets
   - User portal/dashboard for managing tracked products
   - Advanced price analytics and trend forecasting
   
   ---
   
   ### Conclusion
   
   If you're looking for a cost-effective, automated way to track prices and save money (or make money), building an n8n workflow like this is a powerful solution. Whether you're monitoring for personal buys or industry analysis, this workflow gives you full control and transparent automation.
   
   With features like HTML extraction, JSON storage, email notifications, and error handling—all done using standard n8n nodes—this workflow represents an excellent starting point for any scraping and monitoring task you may need.
   
   Get started with n8n, plug in your product links, and let the workflow do the deal hunting for you.
   
   —  
   Built with ❤️ using n8n.

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.