This article provides a complete, practical walkthrough of the Manual Redis 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:  
   Fetching Redis Data with Ease Using n8n: A Simple Workflow Example  
   
   Meta Description:  
   Learn how to retrieve values from a Redis database using n8n with a simple manual trigger and Redis node. This tutorial offers a clear step-by-step explanation of a basic automation workflow.  
   
   Keywords:  
   n8n, Redis, automation, workflow automation, integrate Redis, n8n Redis example, open-source automation, no-code, low-code automation, Redis n8n docker  
   
   List of Third-Party APIs Used:  
   - Redis (accessed via n8n Redis node)  
   
   Article:
   
   —
   
   Automation Made Simple: Fetching Redis Data Using n8n
   
   As workflow automation becomes increasingly essential for both developers and non-tech users, open-source tools like n8n offer a flexible and powerful platform to simplify common tasks. One of the strengths of n8n lies in its ability to integrate seamlessly with a wide array of services—including databases like Redis.  
   
   In this article, we’ll walk through a simple n8n workflow that connects to a Redis database and retrieves the value of a stored key. This example highlights just how easy it is to set up and run automations in a visual environment by leveraging n8n’s drag-and-drop interface.
   
   Scenario Overview
   
   This example workflow consists of two primary nodes:
   
   1. A Manual Trigger Node
   2. A Redis Node
   
   The purpose of this workflow is very straightforward: when manually triggered, the workflow queries the Redis datastore for a key named hello and returns its corresponding value.
   
   Step-by-Step Breakdown
   
   Let’s explore each component of the workflow in more detail:
   
   1. Manual Trigger Node – “On clicking 'execute'”
   
   This node serves as the starting point of the workflow. It doesn’t receive any external input or event — instead, it allows users to execute the workflow directly from within the n8n editor. This is perfect for testing workflows or manually running automation that doesn’t need to be scheduled or triggered by an external source.
   
   Node configuration:
   - Type: manualTrigger
   - Name: "On clicking 'execute'"
   - No additional parameters are required.
   
   This node essentially waits for the user to click ‘Execute Workflow’ from the n8n UI.
   
   2. Redis Node – “Redis”
   
   Once triggered, the workflow connects to a Redis database to fetch a stored value from a specific key. In this demo, that key is hello.
   
   Key details of this Redis node:
   - Type: redis
   - Operation: Get
   - Key: hello
   - Connection: Uses Redis credentials labeled redis-docker_creds
   
   When the Redis node executes, it attempts to retrieve the value associated with the hello key from the Redis instance specified in the credentials. If the key exists, the value will be returned as output from this node, which can then be used by subsequent nodes (if added) or simply logged for debugging or display purposes.
   
   Setting Up Redis Credentials in n8n
   
   Before this workflow can run successfully, you’ll need to ensure that Redis credentials are correctly configured in n8n. These credentials typically include:
   - Host (e.g., localhost or a remote server)
   - Port number (default is 6379 for Redis)
   - Optional: password and TLS options if security settings apply
   
   In this workflow, the named credential is redis-docker_creds, suggesting that the Redis instance may be running in a Docker container, often a common setup for local development or containerized environments.
   
   How This Workflow Could Be Used
   
   While this example is simple, the same structure can serve as the foundation for more complex automations. Some ideas include:
   
   - Checking the value of a Redis key before deciding whether to trigger a different workflow.
   - Pulling cached data stored in Redis to enrich other API calls.
   - Creating dashboard tools or alerts based on flag values stored in Redis.
   - Integrating with other tools like Slack, email, or third-party services to notify stakeholders of certain Redis key states.
   
   Expanding the Workflow
   
   From this basic two-node structure, you could add more logic. For example, you could:
   - Add conditional logic based on the Redis key’s value.
   - Connect a “Slack” or “Email” node to send alerts.
   - Log the information to Google Sheets or a database for record-keeping.
   
   Why Use n8n for Redis?
   
   n8n is particularly suited for use cases like this because:
   - It reduces the need to write boilerplate code.
   - It allows users to visually design and debug workflows.
   - It integrates with over 200 services and can easily be extended with custom code.
   
   If you're already working with Redis and want to extend its utility in a larger automation ecosystem, n8n offers an excellent bridge between your data and your actions.
   
   Conclusion
   
   With just two nodes, this n8n workflow provides a simple yet practical way to retrieve data from Redis. Whether you're just exploring automation possibilities or looking to add Redis integrations into your business processes, this example is a clear demonstration of how powerful and approachable n8n can be. By using the manual trigger and Redis node, you've got a foundational workflow that can evolve into much more complex solutions.
   
   Try running this workflow in your n8n environment, and in seconds you'll see how easy it is to get started with Redis-driven automation.
   
   —  
   End of Article

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.