This article provides a complete, practical walkthrough of the Schedule Http Create 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 Zalando Price Drop Alerts with n8n and Google Sheets
   
   Meta Description:  
   Learn how to monitor Zalando product prices and get automated email alerts when prices drop below your target, using n8n workflows integrated with Google Sheets and Gmail.
   
   Keywords:  
   n8n, Zalando price tracker, Google Sheets automation, Gmail alerts, n8n workflow, eCommerce monitoring, price drop notification, web scraping with n8n, automate Zalando product watch, Google Sheets API, Gmail API
   
   Third-Party APIs Used in This Workflow:
   
   1. Google Sheets API (via OAuth2) — for reading, updating and managing product data
   2. Gmail API (via OAuth2) — for sending email alerts
   3. HTTP Request (native n8n node) — for scraping product pages from Zalando
   
   Article:
   
   Track Zalando Product Price Drops Automatically with n8n
   
   If you’re an online shopping enthusiast always on the lookout for a good deal, monitoring prices manually every day can be both tedious and time-consuming. But what if you could automate the entire process — from tracking product prices to getting notified exactly when a product falls within your desired budget?
   
   This is exactly what this n8n workflow is designed to do.
   
   What is n8n?
   
   n8n (short for “nodemation”) is a powerful, open-source workflow automation tool that allows you to connect different services and APIs without writing a single line of code. With n8n, you can automate repetitive tasks, build data pipelines, and save countless hours week after week.
   
   Let’s dive into how this workflow automates Zalando price tracking and how you can set it up in minutes.
   
   Overview of the Workflow
   
   This price-tracker workflow performs the following tasks:
   
   1. Accepts new Zalando product links from a form, along with a price alert threshold.
   2. Scrapes the current price and product name from the corresponding product page.
   3. Updates the latest price and product details into a Google Sheet.
   4. Logs each price check into a history sheet for tracking changes over time.
   5. Compares the current price to your defined alert price.
   6. If the price is lower or equal to the threshold, it sends an email notification.
   7. Repeats the check on a scheduled interval.
   
   Let’s break it down further.
   
   1. Product Submission via Form
   
   At the top of the workflow is a Form Trigger named "Monitor Zalando Product." Users simply paste a Zalando product URL and input the price at which they’d like to be notified. This data is captured and passed to the "Add Product" Google Sheets node, appending the product link and price alert to a spreadsheet.
   
   2. Scheduled Price Monitoring
   
   A Schedule Trigger ensures that once a day (or at your desired frequency), the workflow automatically grabs the list of product links using the “List Products” node connected to the same Google Sheet.
   
   3. Scraping Current Product Info
   
   The “Scrap Product” node takes each product link and sends an HTTP request to retrieve the HTML content of the page. A subsequent “Format Product” node parses out the current price, product name, and reformats it into structured data suitable for logging and comparison.
   
   4. Logging and Data Sync
   
   Next, the current data is written in two places using Google Sheets API:
   - “Add Log in History”: Appends a new row to a history spreadsheet for analytics or future insights.
   - “Update Products Infos”: Updates the current product entry with fresh prices and names.
   
   5. Price Alert Check
   
   An “If” node called “If price below price alert” checks if the current price has dropped below or is equal to the user-defined alert price. If it has, the workflow proceeds to inform the user.
   
   6. Email Notification via Gmail
   
   If a price drop condition is met, the "Notify Price Reduction" node sends an email to the user via Gmail. The email includes:
   - A product name
   - Current price
   - Alert threshold
   - Direct link to the product
   
   This ensures that you can grab that deal before it disappears!
   
   How To Get Started
   
   Getting started is simple and only takes a few minutes:
   
   - Step 1: Create Google OAuth2 credentials in n8n to access Google Sheets.
   - Step 2: Copy the provided Google Sheets template that acts as your product database.
   - Step 3: Connect your Gmail account in n8n.
   - Step 4: Import the workflow JSON into your n8n instance.
   - Step 5: Submit your first Zalando product via the generated form URL.
   
   That’s it! You’ll start receiving alerts as soon as your tracked products drop in price.
   
   Customization Ideas
   
   While this workflow works great out-of-the-box, it's also easily customizable:
   
   - Add Telegram or Slack notifications instead of or alongside Gmail.
   - Store product history data in Airtable or a SQL database.
   - Integrate with visual dashboards to monitor trends.
   - Scrape other retail websites like Amazon or H&M with minor adjustments.
   
   Conclusion
   
   This workflow is a fantastic example of how powerful n8n workflows can be with minimal setup. Whether you’re a solo shopper hungry for deals, or a business managing product prices, this price tracking system is a practical example of everyday automation using nothing more than n8n, Google Sheets, and Gmail.
   
   Next time you're eyeing those shoes or jackets on Zalando, let automation do the watching for you.
   
   Happy saving!
   
   — crafted by 🥷 n8n.ninja

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.