This article provides a complete, practical walkthrough of the Manual Uproc Automation 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:  
   Personalized Onboarding Emails Based on IP Geolocation Using n8n and uProc
   
   Meta Description:  
   Learn how to build a location-aware onboarding automation using n8n, uProc, and AWS SES. This workflow detects a user's country by IP and sends emails in their native language.
   
   Keywords:  
   n8n automation, IP geolocation, uProc workflow, AWS SES, personalized emails, automation by location, IP country lookup, n8n email automation, welcome email localization, no-code automation
   
   Third-Party APIs Used:  
   - uProc API (for geolocation lookup based on IP address)  
   - AWS SES (for sending transactional emails)
   
   Article:
   
   Using n8n to Send Personalized Welcome Emails Based on IP Address Location
   
   In today’s customer-centric digital landscape, personalization is a key factor to improve engagement and retention. Whether it's tailoring content to user preferences or localizing communication, small customizations can lead to massive gains. One common use case is personalizing onboarding emails based on the user’s geographic location. In this tutorial, we’ll explore how to build a simple but highly effective automation in n8n that personalizes welcome emails depending on a user’s country, specifically identifying Spanish users and sending them tailored messages in their native language.
   
   We’ll leverage uProc to detect the user’s location from their IP address, and use Amazon SES (Simple Email Service) to send emails in multiple languages based on this data. Here's an overview of how the workflow functions.
   
   Workflow Summary
   
   This n8n workflow, aptly named location_by_ip, involves six core nodes:
   
   1. Manual Trigger  
   2. IP and Email Generator  
   3. IP Geolocation via uProc  
   4. IF Condition to Determine Country  
   5. Send Spanish Email (if in Spain)  
   6. Send English Email (default fallback)  
   
   Let’s take a closer look at what each node contributes to the overall automation.
   
   1. On clicking 'execute' (Manual Trigger)  
   As the name suggests, this node is used to manually trigger the workflow, usually for debugging or when testing the flow manually during development. When executed, it initiates the flow by sending a dummy data set downstream.
   
   2. Create IP and Email Item (FunctionItem Node)  
   This node hardcodes a sample IP address (83.46.131.46) and an email address (miquel@uproc.io). While this is a static example, in a real-world scenario, this data could come from a form submission or a signup event via a webhook integration.
   
   The function here is:
   
   ```javascript
   item.ip = "83.46.131.46";
   item.email = "miquel@uproc.io";
   return item;
   ```
   
   This produces a data item that includes both values, which will be used in the next steps.
   
   3. Get Location By IP (uProc Node)  
   Next, the workflow uses the uProc node to run the tool getLocationByIp from the geographic group. It receives the IP address generated in the previous node and returns geolocation details, including the country code.
   
   Here, an API credential named “miquel-uproc” is used to authenticate with uProc’s geolocation service. The output includes standardized fields such as country_code, which becomes central to the customization logic.
   
   4. User in Spain? (IF Node)  
   This conditional node checks whether the country code returned from uProc equals "ES" (Spain). The evaluation uses dynamic expressions in n8n to compare values from the previous nodes.
   
   If the user is located in Spain (country_code === "ES"), the workflow takes the "true" path. Otherwise, it defaults to the "false" path. Each path is connected to a different email node.
   
   5. Send Spanish Email (AWS SES Node)  
   This branch handles users located in Spain. It uses AWS SES to send a friendly welcome email written in Spanish. The email content is:
   
   Subject: Bienvenido a bordo  
   Body: Hola, ¡Gracias por registrarte!
   
   The recipient’s address is dynamically pulled from the Create IP and Email Item node using n8n’s expression syntax.
   
   6. Send English Email (AWS SES Node)  
   This fallback branch covers users from all countries other than Spain. It sends a more general welcome message in English via the same AWS SES service. The email content for this variant is:
   
   Subject: Welcome aboard  
   Body: Hi, Thank you for your signup!
   
   Again, the recipient email is dynamically sourced from the original data input.
   
   Putting It All Together
   
   This simple but powerful automation enables developers or marketing teams to personalize communications without writing a single line of backend code. With n8n serving as the automation platform, uProc providing clean and fast geographic data, and AWS SES powering transactional emails, this stack is both scalable and cost-effective.
   
   Benefits of This Workflow:
   
   - Personalized onboarding experience increases engagement
   - Easy configuration in no-code interface suitable for non-developers
   - Scalable solution that can support multiple countries and languages
   - Minimal dependencies thanks to third-party integrations
   
   Extending the Workflow
   
   This logic can easily be enhanced to include more countries and languages. The IF node could be expanded with multiple conditions, or replaced with a Switch node to handle a range of localized scenarios. Additionally, instead of using a static IP and email address, webhooks could feed in real customer data in real-time from your application or CRM.
   
   Conclusion
   
   Customizing welcome emails based on a user’s location is an easy and effective way to boost engagement. Tools like n8n, uProc, and AWS SES make it possible to implement such automation with minimal effort and at scale. Whether you're running a SaaS product, an e-commerce platform, or just want to offer a more personalized experience, this approach is a strong starting point.
   
   Get started with n8n and personalize your user experience — one IP address at a time.

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.