This article provides a complete, practical walkthrough of the Form Html Create Triggered 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:
   Automating Deal Recommendations with n8n: How to Send Personalized MediaMarkt Offers via Email
   
   Meta Description:
   Discover how to automate the extraction, categorization, and email delivery of personalized MediaMarkt deals using n8n, Bright Data, and OpenAI. Boost your e-commerce engagement through this smart and customizable workflow.
   
   Keywords:
   n8n workflow, MediaMarkt deals, automation, Bright Data, OpenAI GPT-4, email automation, e-commerce scraping, personalized recommendations, daily deals, AI-powered marketing
   
   Third-party APIs Used in the Workflow:
   
   1. Bright Data (formerly Luminati) – for web scraping the MediaMarkt offers page
   2. OpenAI GPT-4 – for processing and categorizing offers using natural language processing
   3. SMTP Email Service (via n8n SMTP credentials) – for sending personalized emails to users
   
   Article:
   
   Automating Deal Recommendations with n8n: How to Send Personalized MediaMarkt Offers via Email
   
   In the realm of e-commerce automation, delivering personalized deals straight to consumers’ inboxes isn't just a competitive advantage—it’s rapidly becoming an expectation. Using n8n, an open-source workflow automation tool, it's possible to build a fully automated pipeline that scrapes deals from MediaMarkt's official campaigns page, filters them according to user preferences, and emails a curated list of relevant offers. This article breaks down how the workflow works and highlights the powerful integrations that make it seamless.
   
   The Workflow in Action
   
   Let’s take a look under the hood of this n8n workflow and how it operates from form submission to final email delivery.
   
   Step 1: User Input via Form
   
   The journey begins when a user fills out a form titled “Top Deals,” hosted through the n8n Form Trigger node. This form collects two important inputs:
   
   - Preferred product categories (such as Cell Phones, TV & Home Theater)
   - User email address
   
   The form ensures personalization from the outset and guards against bot entries with built-in spam protection.
   
   Step 2: Fetch Deals from MediaMarkt
   
   Right after the form is submitted, the workflow triggers the Bright Data node to access MediaMarkt Spain’s campaign page:
   https://www.mediamarkt.es/es/campaign/campanas-y-ofertas
   
   This Bright Data "Web Unlocker" scrapes the content needed to power the recommendations. Thanks to Bright Data’s reliable content delivery, even dynamic or JavaScript-heavy pages are scraped efficiently and returned in structured JSON format.
   
   Step 3: Extract and Process Website Content
   
   With data retrieved, the HTML Extract node pulls key content elements—the page’s title and body—for further processing. The next step is where things start to get AI-smart.
   
   Step 4: Categorize Deals with OpenAI GPT-4
   
   The extracted text content is passed into a Langchain + OpenAI GPT-4 node. Here's what it does:
   
   - Analyzes the raw scraped content
   - Translates it into English (if needed)
   - Identifies product name, description, price, and links
   - Classifies each offer into user-selected categories
   
   The result? A neat JSON structure with only the items relevant to the individual user.
   
   Step 5: Split and Format Results for Email Delivery
   
   The filtered and structured list goes through n8n’s Split Out node so that each item can be individually prepared. It’s then passed into a pre-configured Document Generator node, which uses a Handlebars template to format the deals into a clean, HTML email body.
   
   The email content includes clickable product links, categories, and prices—ready for marketing or conversion purposes.
   
   Step 6: Email Sent to the User
   
   Next, the SMTP Email node takes center stage. The user receives a professionally crafted email titled “Your last deals!” that includes all personalized offer content. The fromAddress is listed as deals@n8nhackers.com, establishing brand trust and visibility.
   
   Step 7: Confirmation Page
   
   Finally, a Form Completion node displays a result screen stating how many deals were sent to the user. This feedback loop enhances user satisfaction and provides instant gratification.
   
   Why This Workflow is So Powerful
   
   - End-to-End Automation – Once triggered, the entire pipeline works seamlessly without any manual intervention.
   - Personalization – Deals are filtered based on the user's selected interests.
   - AI-Powered Categorization – OpenAI GPT-4 transforms unstructured website content into categorized, translated, and formatted information.
   - Scalable – The workflow can be easily duplicated for other retailers or newsletters.
   - User Engagement Boost – By delivering tailored deals, businesses can increase click-through rate (CTR) and conversions.
   
   Use Cases Beyond MediaMarkt
   
   While this workflow is customized for MediaMarkt offers, its architecture is flexible enough for:
   
   - Affiliate marketing emails
   - Regional e-commerce promotional alerts
   - Internal company sales updates
   - Flash deal notifications for specific product lines
   
   Conclusion
   
   With the power of n8n combined with Bright Data’s web scraping and OpenAI’s natural language understanding, businesses can automate a previously complex and manual process—delivering personalized, timely, and engaging deals to each user’s inbox.
   
   This isn’t just automation. This is intelligent marketing automation, built with open tools and commercial-grade APIs that anyone can use and adapt.
   
   If you’re looking for a no-code/low-code way to drive more meaningful engagement in your e-commerce operation, this n8n workflow is the blueprint you need.
   
   Get started with your own version, and let the deals speak for themselves!
   
   — Written by AI, engineered by the n8nhackers team.

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.