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:  
   Automating Phone Number Verification in n8n Using UProc API
   
   Meta Description:  
   Learn how to build an automated phone number verification workflow in n8n using the UProc API. This guide walks you through validating phone numbers, detecting invalid entries, and improving data quality—all without writing complex code.
   
   Keywords:  
   n8n, phone number validation, UProc API, phone verification workflow, data cleaning, automation, n8n tutorial, phone number parser, no-code automation, API integration
   
   Third-Party APIs Used:
   
   - UProc API (getPhoneParsed tool) for phone number parsing and validation
   
   Article:
   
   In today’s data-driven workflows, ensuring data quality is more important than ever—especially when it comes to phone numbers. Mistyped or invalid numbers can lead to failed communications, lost marketing opportunities, and poor user experiences. Fortunately, automating phone number validation is easier than you think with tools like n8n and the UProc API.
   
   In this article, we’ll explore a short but powerful n8n workflow that validates a phone number using the UProc API. Whether you're working with CRM inputs, contact forms, or lead generation tools, this no-code/low-code solution can seamlessly slot into your existing processes.
   
   Understanding the Workflow
   
   Let’s break down each step of the n8n workflow used to verify phone numbers dynamically:
   
   1. Manual Trigger ("On clicking 'execute'")
   The workflow starts with a Manual Trigger node—this is primarily for development and testing purposes. When the "Execute Workflow" button is clicked in n8n, it initiates the series of actions. While this manual trigger is user-controlled, it can later be swapped with other triggers like a Webhook or Schedule for production use.
   
   2. Creating the Phone Number Item ("Create Phone Item")
   The next node is a Function Item node that injects a sample phone number into the workflow. In our example, it adds the Spanish phone number "+34605281220" to the item:
   
   ```javascript
   item.phone = "+34605281220";
   return item;
   ```
   
   This node is customizable and can be easily modified to handle dynamic inputs such as phone numbers pulled from a database, form submission, or external systems via APIs.
   
   3. Parsing and Validating the Phone Number ("Parse and Validate Phone")
   Here’s where the real magic happens. This node uses the UProc API, a powerful external service that provides data processing functions like parsing, checking, and standardizing phone numbers.
   
   Using the getPhoneParsed tool provided by UProc, the phone number is verified for formatting, region, and validity. The node references the phone value assigned in the previous step and uses the credentials stored under the name "miquel-uproc".
   
   If the phone number is correctly formatted and recognized, UProc returns a parsed version along with a boolean flag indicating whether the number is considered valid.
   
   4. Conditional Check for Validity ("Phone is Valid?")
   Finally, an IF node inspects the response from UProc to determine whether the phone number is valid. It compares the value of message.valid returned by the API to the string "true". If the condition is met, the workflow can be extended to proceed with further steps, such as storing the number in a CRM, sending a confirmation SMS, or notifying users of an invalid entry.
   
   For instance:
   
   - If true: Continue with follow-up actions (e.g., store in database, trigger SMS)
   - If false: Send error notification or flag entry for manual review
   
   Why Use UProc for Phone Validation?
   
   UProc is a versatile data-validation tool that goes beyond phone numbers. When it comes to verifying caller data, its getPhoneParsed tool offers several advantages:
   
   - Regional formatting compatibility
   - Carrier detection
   - Number type detection (mobile, landline, etc.)
   - Spam and validation checks
   
   This makes it ideal for use cases like international marketing, fraud prevention, and ensuring clean data in customer databases.
   
   Potential Extensions
   
   While the current workflow is straightforward, here are some ways it could be expanded:
   
   - Add dynamic phone input via Webhooks
   - Save valid numbers to Google Sheets or Airtable
   - Send validation result to users via email or SMS
   - Batch process a list of phone numbers using a loop
   - Log invalid phone numbers for further inspection
   
   Final Thoughts
   
   This n8n workflow offers a clean, modular approach to phone number validation using UProc. By integrating external APIs and leveraging n8n’s user-friendly no-code/low-code environment, businesses can streamline their onboarding, customer verification, or marketing processes.
   
   With just four nodes, this setup brings together data enrichment and automation in a highly scalable format. Whether you're a developer, operations manager, or data analyst, you can implement this workflow to maintain data integrity across platforms and improve your contactability metrics.
   
   Start small with a manually triggered test, and gradually connect it to your production systems for real-time validation and automation. Try it out—and keep your data clean from the very first contact point.

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.