This article provides a complete, practical walkthrough of the Splitout Code 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

   Sure! Here's a complete article with title, meta description, keyword tags, and a list of third-party APIs—based on the provided n8n automation workflow.
   
   ---
   
   📌 Title:  
   Build Your Own Amazon Keyword Research Tool with n8n (No Code, Free Solution)
   
   📃 Meta Description:  
   Learn how to automate Amazon keyword research using n8n, Airtable, and Amazon's autocomplete API—no coding required! Perfect for Amazon FBA sellers looking to streamline their SEO efforts.
   
   🔑 Keywords:  
   n8n, Amazon keyword tool, Amazon FBA, no-code automation, keyword research, Airtable, Amazon autocomplete API, ecommerce automation, n8n workflow, Amazon keywords automation
   
   🧠 Article:
   
   # How to Build a Free Amazon Keyword Research Tool Using n8n (No Code Needed)
   
   Amazon FBA sellers and ecommerce entrepreneurs know how valuable keyword research is when optimizing product listings for search visibility. Yet, reliable Amazon keyword tools often come with a hefty monthly subscription. Fortunately, there’s a free, no-code solution you can set up in under an hour, thanks to n8n—a powerful automation tool.
   
   In this article, we’ll dive into an n8n workflow that builds your very own Amazon keyword research tool by integrating directly with Amazon's autocomplete API and storing results in Airtable. The best part? You don't need to know how to code.
   
   ## What the Workflow Does
   
   This n8n workflow automates the process of:
   
   1. Receiving a keyword from a webhook.
   2. Looking up related data in Airtable.
   3. Sending a request to Amazon’s autocomplete API using that keyword.
   4. Extracting keyword suggestions from the API response.
   5. Cleaning and aggregating the resulting keywords.
   6. Formatting the data into a string.
   7. Saving the output back into Airtable for later use.
   
   Let’s explore its components.
   
   ### Step-by-Step Breakdown
   
   🔹 **1. Receive the Input Keyword (Webhook Node)**  
   The workflow starts with the "Receive Keyword" node, which is configured to accept a keyword input via a custom webhook URL. This allows external services (like a form or Airtable automation) to trigger the workflow by submitting a single keyword.
   
   🔹 **2. Retrieve Keyword Metadata (Airtable Node: Get Airtable Data)**  
   Once it has the input, the second node queries an Airtable database to fetch the corresponding record using the submitted keyword data. This helps in identifying which record will later be updated.
   
   🔹 **3. Query Amazon’s Autocomplete API**  
   The core of this workflow is the “Get Amazon keywords” node. It makes an HTTP GET request to Amazon’s public suggestion endpoint. This endpoint returns keyword suggestions (like Google’s auto-suggest feature) based on real-time user search trends.
   
   📌 Example API call:  
   https://completion.amazon.com/api/2017/suggestions
   
   The `prefix` query parameter feeds in the user's keyword.
   
   🔹 **4. Format and Extract the Suggestions**  
   The next couple of nodes—“Format output” and “Clean Keywords”—extract and clean the suggestions from the API response. These suggestions are usually nested JSON elements, so the formatting step flattens them into an array.
   
   🔹 **5. Aggregate Keywords**  
   To ensure all keyword suggestions are organized for efficient storage, the workflow uses “Aggregate keywords” to compile them into a single list.
   
   🔹 **6. Turn Keywords Into a String**  
   Running raw arrays into Airtable isn’t ideal, so the “Combine Into String” node uses JavaScript to convert the array into a comma-separated string.
   
   🔹 **7. Save Back Into Airtable**  
   Lastly, the “Save keywords” node updates the original Airtable record with the newly generated keyword suggestions string—making it easy to view results at a glance.
   
   ## Why Use This Workflow?
   
   This free, no-code solution is perfect for:
   
   - Amazon FBA sellers wanting data-backed keyword insights.
   - Virtual assistants managing product listings.
   - SEO professionals working with ecommerce clients.
   - Makers who love automation and open platforms.
   
   ## Bonus Features
   
   Here's what you can add to expand this tool:
   
   - Integrate it with Zapier to push data from Google Sheets.
   - Add email notifications when new keywords are saved.
   - Connect to OpenAI (ChatGPT) to analyze the keywords and provide optimization tips.
   - Time-based triggers for daily or weekly keyword refreshes.
   
   ## How to Get Started
   
   - Clone the workflow in your own n8n instance (self-hosted or cloud).
   - Use the [provided Airtable template](https://airtable.com/invite/l?inviteId=invgv9FzNB258bm5Z&inviteToken=6f820e142d3324318254c1768fa57809b3ef0bcb7212ea27730fd2d140c69ad5&utm_medium=email&utm_source=product_team&utm_content=transactional-alerts).
   - Connect your Airtable and webhook credentials.
   - Submit your keyword via the webhook or directly within Airtable.
   
   Visit the full write-up and video tutorial here:  
   👉 https://rumjahn.com/how-to-build-your-own-amazon-keywords-tool-with-n8n-for-free-and-no-coding/
   
   ## Third-Party APIs Used
   
   Here’s a quick list of third-party services used in this workflow:
   
   1. **Amazon Autocomplete API**  
      - URL: `https://completion.amazon.com/api/2017/suggestions`
      - Purpose: To retrieve real-time keyword suggestions.
   
   2. **Airtable API**  
      - Operations: Reading and writing keyword data.
      - You will need an Airtable Personal Access Token and base/table IDs.
   
   ## Final Thoughts
   
   Automation shouldn’t be limited to programmers. Tools like n8n empower everyone to build powerful workflows without touching a single line of backend code. By leveraging public APIs and services like Airtable, you can save time, boost productivity, and even gain a competitive edge on Amazon.
   
   Don’t let keyword research slow you down—automate it.
   
   Happy automating! 🚀
   
   ---
   
   ✅ Need Help Setting It Up?
   
   Feel free to reach out to the n8n community or follow the detailed guide at Rumjahn’s blog.
   
   👉 [Read the full tutorial here](https://rumjahn.com/how-to-build-your-own-amazon-keywords-tool-with-n8n-for-free-and-no-coding/)
   
   ---
   
   Let me know if you'd like this article adapted into a blog post format or optimized for tutorials/documentation!

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.