This article provides a complete, practical walkthrough of the Graphql Webhook Automate 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:
   Creating a Country Info REST Endpoint with n8n and GraphQL
   
   Meta Description:
   Learn how to use n8n to build a simple RESTful webhook that fetches real-time country data using a public GraphQL API. Easily retrieve country names, emojis, and calling codes via a low-code workflow.
   
   Keywords:
   n8n, workflow automation, GraphQL API, country data, REST endpoint, no-code automation, Trevor Blades API, Webhook, low-code tools, n8n tutorial
   
   Third-party APIs Used:
   - Countries GraphQL API by Trevor Blades (https://countries.trevorblades.com/)
   
   —
   
   Article:
   
   Creating a Country Info REST Endpoint with n8n and GraphQL
   
   n8n is a powerful workflow automation tool that lets you connect APIs and services with little to no code. One of the many use cases of n8n is transforming regular GraphQL APIs into REST-like webhooks, making data access more flexible and user-friendly. In this tutorial, we'll walk through an n8n workflow that creates a custom endpoint to retrieve country data—including name, flag emoji, and phone code—from a public GraphQL API.
   
   Why Build This Workflow?
   
   Whether you're building an application that needs localization features or just want to play with international data, this workflow enables a quick and simple way to get useful metadata about countries. Instead of building your own backend or writing a large script to make API calls, you can rely on n8n's modular interface to fetch this data using a webhook and transform it into an easy-to-read response.
   
   Overview of the Workflow
   
   This n8n workflow is comprised of four main nodes:
   
   1. Webhook Node
   2. GraphQL Node
   3. Function Node
   4. Set Node
   
   Let’s break each component down.
   
   1. Webhook Node: Entry Point for Requests
   
   The workflow starts with a Webhook node. This node listens for incoming HTTP requests at a defined endpoint path—in our case, /webhook. When a request is made to this URL, the Webhook node extracts a query parameter named code, which represents the two-letter country code (such as “US” for the United States or “DE” for Germany).
   
   2. GraphQL Node: Querying the Trevor Blades Countries API
   
   Next, the workflow passes the country code to a GraphQL node that sends a query to the publicly available Countries GraphQL API maintained by Trevor Blades. The GraphQL query looks like this:
   
   query {
     country(code: "XX") {
       name
       phone
       emoji
     } 
   }
   
   But instead of hardcoding the country code, n8n dynamically inserts the value from the incoming webhook using:
   
   {{$node["Webhook"].data["query"]["code"].toUpperCase()}}
   
   This ensures that the API receives a correctly formatted country code and returns the appropriate data.
   
   3. Function Node: Parsing the GraphQL Response
   
   The GraphQL API responds with a JSON payload, but it’s nested within a “data” key. Before we can use this information in the final response, we need to process it.
   
   The Function node runs a short piece of JavaScript:
   
   items[0].json = JSON.parse(items[0].json.data).data.country;
   return items;
   
   This code flattens the nested structure, making the fields—name, phone, and emoji—easily accessible in the next step.
   
   4. Set Node: Crafting a Friendly Response
   
   Now that we have clean data, the Set node constructs a human-readable response string, like:
   
   “The country code of Germany 🇩🇪 is 49”
   
   This is done using simple expression syntax that references the previously parsed data:
   
   =The country code of {{$node["Function"].data["name"]}} {{$node["Function"].data["emoji"]}} is {{$node["Function"].data["phone"]}}
   
   Additionally, we toggle the option keepOnlySet to true so the output consists only of this final “data” message, which is returned as the API response to whoever called the webhook.
   
   Try It Out
   
   Once your workflow is active, you can test it by sending a GET request to https://your-n8n-instance/webhook?code=us. The response will look something like:
   
   {
     "data": "The country code of United States 🇺🇸 is 1"
   }
   
   Real-time data, returned via a clean REST-style implementation, all powered without writing a full backend service—thanks to n8n.
   
   Conclusion
   
   This simple yet powerful n8n workflow demonstrates how to bridge modern GraphQL APIs with traditional RESTful access. It's a perfect example of how low-code tools like n8n democratize access to data and improve development speed.
   
   By connecting a Webhook node to a GraphQL query and processing the results with built-in n8n functions, you've built a reusable microservice in just a few clicks.
   
   Extend this further by storing information in a database, sending notifications, or integrating it with a frontend application. The possibilities are endless with n8n’s flexible automation engine.
   
   Happy automating!
   
   — 
   
   Need inspiration for other workflows? Explore more pre-built templates or check out the n8n community for real-world use cases.

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.