How I Ended Up Building a Stable Async Processor for n8n (and Turned It Into a PRO Tempate)

How I Built a Stable Asynchronous Batch Processor for n8n (And Why the Default Loops Weren’t Enough)

Async API workflows in n8n get messy fast.

Timeouts, rate limits, unstable endpoints, CRM sync delays, retries…

I kept running into the same problems over and over.

So I built a modular, safe, reusable async batch processor — and this post explains the pattern.

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1. The Core Problem

Normal loops in n8n fail when you push large datasets:

• Random HTTP timeouts
• APIs enforcing strict rate limits
• Retry logic is inconsistent
• Long chains become unmaintainable
• Webhook-based CRMs randomly drop requests

I needed something predictable and production-safe.

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2. The Architecture (High-level)

This pattern has 5 independent responsibilities:

1. SplitInBatches → Iteration controller
2. API Request Wrapper → Safe executor
3. Retry Engine → Idempotent retries
4. Dynamic Wait Node → Rate-limit aware sleeps
5. Unified Output Contract → Consistent structure

A clean pipeline:

Items → Split → Safe Execution → Retry → Dynamic Wait → Output

yaml

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3. Safe HTTP Executor (Core Logic)

json

{
"status": "success",
"duration": 128,
"response": { "id": 123 }
}
yaml

This guarantees:

• No broken items
• No partial failures
• Normalized contract for every loop
• Predictable behavior in AI agents, CRMs, and bulk API workflows

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4. Retry Engine

Retries are based on:

• Timeout detection
• HTTP error classes
• API vendor signals
• Exponential wait pattern
• Circuit-breaker protection

A simplified sample:

json

{
"retry": {
"attempt": 2,
"max": 3,
"reason": "429 rate limit"
}
}
yaml

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5. Dynamic Wait Engine

Instead of using the static Wait node:

Wait 1 second → Still rate limited → Fail.

diff

Dynamic Wait computes:

• Vendor’s retry-after value
• Backoff curve
• High-load protection

Example:

json

{
"waitMs": "={{ $json.rateWait }}"
}
yaml

---

6. Normalized Output Contract

Every item returns:

json

{
"status": "success",
"duration": 128,
"response": { "id": 123 }
}
yaml

---

7. PRO JSON Template (Preview Only)

Short preview (full version is much larger):

json

{
"name": "Async Batch Processor — Core",
"nodes": [
{
"id": "SplitInBatches",
"type": "splitInBatches",
"parameters": { "batchSize": 10 }
},
{
"id": "DynamicWait",
"type": "wait",
"parameters": {
"duration": "={{$json.rateWait}}"
}
}
]
}
yaml

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8. What the PRO Version Adds

• Full JSON template
• Modular clean blocks
• Retry-safe HTTP node
• Dynamic wait engine
• Request isolation
• Usage guide
• Best practices
• Production-ready architecture

Faster debugging.

Enterprise-grade stability.

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9. Download the Full PRO Template

👉 PRO version (import-ready):

https://workflowslab.gumroad.com/l/batch-processor-template

Includes:

• Full JSON (1500+ lines)
• Retry-safe executor
• Modular blocks
• Rate-limit engine
• Usage guide
• Best practices

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10. Need a Custom Recommendation?

If you want a custom suggestion for your use case (CRM, bots, agents, billing, integrations), send me a message — I’ll recommend the best workflow.

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Thanks for reading!

I’ll publish more production-ready n8n patterns soon.

Comments

[Emre Akman]

Eğer Lite versiyon veya örnek kullanım isteyen olursa yorum yazın, göndereyim.