This article provides a complete, practical walkthrough of the Manual N8Ntrainingcustomerdatastore Automate 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:  
   Mastering Conditional Logic in n8n: How to Filter and Route Your Data Like a Pro
   
   Meta Description:  
   Learn how to use If and Switch nodes in n8n to implement conditional logic for filtering and routing customer data. This practical workflow demonstrates powerful automation techniques using real-world conditions.
   
   Keywords:  
   n8n, n8n workflow, conditional logic, If node, Switch node, n8n automation, customer data filtering, data routing, low-code automation, workflow builder
   
   Third-Party APIs Used:  
   None — This workflow uses n8n's built-in nodes including a fictional Customer Datastore node (n8nTrainingCustomerDatastore), designed for training purposes.
   
   Article:
   
   Mastering Conditional Logic in n8n: How to Filter and Route Your Data Like a Pro
   
   If you're building automated workflows using n8n, understanding how to incorporate conditional logic is essential. Whether you're routing leads based on location or filtering customer records based on custom rules, the If and Switch nodes provide a powerful and intuitive way to steer data through your workflow.
   
   In this article, we’ll break down a practical example that demonstrates how you can filter customer data and route it based on specific criteria using n8n's visual workflow editor.
   
   Overview of the Workflow
   
   This n8n workflow starts with a Manual Trigger node, making it ideal for development and testing. The flow then proceeds to a custom node—Customer Datastore—which retrieves all customer records. From there, we branch out into different logical conditions using If and Switch nodes based on data attributes such as country and name.
   
   Here’s a breakdown of the core components:
   
   1. Trigger and Data Retrieval
   
   - Node: On clicking ‘execute’
     This Manual Trigger node allows you to manually kick off the workflow during development.
   
   - Node: Customer Datastore
     Pulls in customer data using the fictional n8nTrainingCustomerDatastore node. This is a sample data source, perfect for training scenarios.
   
   Once the data is loaded, it flows to several nodes simultaneously to evaluate different conditions.
   
   2. Single Condition Filtering (If Node)
   
   - Node: Country equals US
     This If node checks a single condition: whether the country field in the customer data is exactly "US".
     
     This type of condition is useful when you want to take a specific action — like adding to a US marketing group — only for users from a specific region.
   
   3. Combined Conditions with OR Logic
   
   - Node: Country is empty or Name contains 'Max'
     This If node is more complex. It checks two conditions and uses an OR (ANY) logic:
     
     - Is the country field empty?
     - Does the name field contain the substring "Max"?
   
     If either condition is true, the workflow will route that data accordingly. This is ideal for flagging incomplete records or targeting users with specific identifiers.
   
   4. Multi-Path Routing (Switch Node)
   
   - Node: Country based branching
     The Switch node is where multi-path routing comes into play. It categorizes the customer data into four distinct routes based on the country field:
     
     - Route 0: Country is "US"
     - Route 1: Country is "CO" (Colombia)
     - Route 2: Country is "UK"
     - Route 3: Fallback for all other countries
   
     This is a perfect way to implement region-specific processing logic within a single workflow.
   
   Making Sense of the Logic with Sticky Notes
   
   The workflow includes multiple Sticky Note nodes that act as in-workflow documentation. These provide helpful tips on:
   
   - Using If nodes for both single and multiple conditions.
   - Setting the combine operation (ALL for AND logic, ANY for OR logic).
   - How Switch nodes can handle more than two potential outcomes — much like a traditional programming "switch-case" block.
   
   These notes make the workflow not just functional but educational. You (or your teammates) can better understand the logical structure at a glance.
   
   Why Use Conditional Logic in n8n Workflows?
   
   Using If and Switch nodes unlocks smarter automation. Here are some practical uses:
   
   - Data Hygiene: Flag incomplete or malformed data entries.
   - Marketing Personalization: Route leads into country-specific campaigns.
   - Operational Efficiency: Split tasks between regional teams based on location.
   - Custom Alerts: Send alerts when specific data patterns are identified (e.g., priority customers).
   
   Final Thoughts
   
   Conditional logic in n8n doesn’t have to be complicated. With simple If nodes and the versatile Switch node, you can build powerful automations that are both scalable and easy to maintain. This training-focused workflow is a fantastic example of how these tools come together to create intelligent decision-making paths in your processes.
   
   Whether you're just getting started with n8n or aiming to sharpen your automation architecture, mastering the basics of conditional logic is a must. Don’t forget to experiment with real data and continue refining the conditions based on your use case.
   
   So, go ahead — click "Execute Workflow," watch the branching in action, and unleash the full potential of your data!
   
   Happy automating!
   
   —  
   Written by your AI Workflow Assistant

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.