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n8n vs Zapier vs Custom Code: Choosing the Right Automation Stack

February 202510 min read
n8n vs Zapier vs Custom Code: Choosing the Right Automation Stack

One of the first questions we get from clients is: "Should we use Zapier, n8n, or build something custom?" The honest answer is: it depends. But there are clear patterns that determine which approach delivers the best outcome for a given use case.

Zapier: The Fast Start

Zapier is ideal for simple, linear workflows between popular SaaS tools. If you need to sync contacts from a form to a CRM, or post Slack notifications when a deal closes in HubSpot, Zapier is hard to beat for speed. Its 6,000+ app integrations mean you rarely need to write code.

  • Best for: Simple linear workflows, 2-3 app integrations
  • Pricing: Starts at €20/month, scales steeply with task volume
  • Limitations: No complex logic, poor error handling, expensive at scale

n8n: The Power User Platform

n8n sits between Zapier and custom code. It's open-source, self-hostable, and supports complex branching logic, custom code nodes, and sophisticated error handling. For teams with some technical capability, n8n can handle workflows that would be impossible in Zapier—at a fraction of the cost.

  • Best for: Complex multi-step workflows, custom business logic
  • Pricing: Free self-hosted, ~€20/month cloud for small teams
  • Limitations: Requires technical setup, steeper learning curve

Custom Code: Maximum Power

When workflows require real-time processing, custom AI models, complex data transformations, or enterprise-grade reliability, custom code is the only option. Yes, it requires more upfront investment—but the result is a system that does exactly what your business needs, scales infinitely, and has no per-task pricing surprises.

Our Recommendation

For most businesses: start with n8n for internal workflows, Zapier for simple SaaS integrations, and invest in custom development for anything customer-facing or mission-critical. The biggest mistake is building everything on Zapier and then hitting a wall—both technically and economically—when scale arrives.

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