This article provides a complete, practical walkthrough of the Manual Http Automation Webhook 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 User Management with n8n and Reqres API: A Step-by-Step Workflow
   
   Meta Description:  
   Discover how to automate user data fetching, creation, and updating using n8n with the Reqres.in API. This article outlines a practical workflow for managing users through API requests seamlessly.
   
   Keywords:  
   n8n, automation, Reqres API, HTTP request, workflow automation, API integration, user management, create user, update user, low-code automation
   
   Third-party APIs Used:  
   - Reqres API (https://reqres.in)
   
   Article:
   
   In today's business landscape, automation plays a pivotal role in enhancing productivity and streamlining operations. Tools like n8n offer versatile workflows that empower users to integrate various services without writing extensive code. In this article, we’ll break down a simple yet powerful n8n workflow that automates user management tasks—fetching, creating, and updating a user—using the Reqres API, a free-to-use service for testing and prototyping RESTful APIs.
   
   This workflow consists of three primary HTTP operations chained together: GET, POST, and PATCH—all interfacing with the Reqres API. Let’s dive into each step for a clearer understanding of how this automation works.
   
   Step 1: Manual Trigger – Kickstarting the Workflow  
   
   The workflow is initiated with the n8n Manual Trigger node labeled “On clicking ‘execute.’” This node allows you to manually run the workflow during development or testing, without waiting for an event to occur. Once you hit the "Execute Workflow" button inside n8n, the automation kicks off, triggering the first HTTP request in the sequence.
   
   Step 2: Fetch Existing Users – HTTP GET Request
   
   The next node is an HTTP Request configured to perform a GET request to:
   
       https://reqres.in/api/users
   
   This call retrieves a list of users from the Reqres API. While this step primarily serves as a data fetch, it can also be used to verify current entries or display existing information before adding or modifying users. This GET request simulates how an application might load data before any user interaction.
   
   Step 3: Create a New User – HTTP POST Request
   
   Chained to the output of the GET request is another HTTP node configured to use the POST method. It sends a request to the same base API endpoint:
   
       https://reqres.in/api/users
   
   The body of this request includes two parameters:
   
   - name: Neo  
   - job: Programmer
   
   This simulates the creation of a new user profile named “Neo” working as a “Programmer.” The Reqres API responds with a JSON object that includes the new user’s id and a timestamp of creation. Though no data is stored permanently on Reqres.in, this mimics a real-world use case of registering users via API.
   
   Step 4: Update an Existing User – HTTP PATCH Request
   
   The final node connected via the "main" output from the POST request is another HTTP Request node, this time set to use the PATCH method. This request is sent to:
   
       https://reqres.in/api/users/2
   
   In the body parameters, the user's job is updated to "The Chosen One." This represents an edit or partial update to user information—in RESTful API terms, a PATCH is ideal for when you only want to update specific fields without overwriting the entire user object.
   
   This demonstrates a typical workflow a SaaS application might use: first retrieve current data, create new entries if needed, and then allow for updates to existing ones as roles or responsibilities change.
   
   Workflow Chain Summary
   
   Here’s how the entire flow works:
   
   1. Manually trigger the workflow.
   2. Make a GET request to fetch existing users.
   3. Make a POST request to create a new user ("Neo" as a "Programmer").
   4. Make a PATCH request to update an existing user (user ID 2) to change their job to "The Chosen One."
   
   Each step passes its output to the next, forming a seamless chain that reflects a real-world, API-driven automation process.
   
   Why Use Reqres API?
   
   The Reqres API is a great sandbox for prototyping your API logic. It lets developers:
   
   - Simulate user creation, updating, and retrieval
   - Practice formatting requests for real-world APIs
   - Test logic without affecting production databases
   
   Although it doesn’t store changes beyond each session or request, it’s a developer-friendly tool perfect for demos and automations like the one created here in n8n.
   
   Benefits of This Automation
   
   - Reduces manual API calls and eliminates command-line steps
   - Improves accuracy by linking logical stages together
   - Provides a visual representation of the logic flow
   - Offers quick debugging and local testing via the Manual Trigger
   
   Extending This Workflow
   
   This simple chain can be extended further to include error handling (using IF nodes), conditional logic, or dynamic data fetching from a database. You could also connect this to external apps like Google Sheets, Slack, or email providers for notifications or reporting. With n8n’s 350+ integrations, the possibilities are virtually limitless.
   
   Conclusion
   
   This n8n workflow demonstrates how easy and efficient it can be to automate API interactions, particularly around user management. By using the Reqres API, we simulate real-world CRUD operations—giving users a safe environment to prototype and build. Whether you're a solo developer testing workflows or a business team looking to streamline repetitive API calls, n8n offers a flexible and powerful solution with its low-code interface.
   
   If you're curious about building your own automation, the Reqres API is a perfect testing ground, and n8n gives you the visual tools needed to bring that automation to life.
   
   Get started today, and turn repetitive tasks into seamless automations.

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.