Tool Guide: Zapier vs Make vs Custom APIs for Automation

The most common question we get after an AI audit: "Which tool should we use?" The honest answer is always the same — it depends. But there's a framework that makes the decision straightforward, and this guide will walk you through it.

The Three Approaches at a Glance

Zapier: The Quickest Win

Zapier is the most widely used automation platform in the world, connecting 6,000+ apps with a simple "if this, then that" logic. It's genuinely excellent for:

• Pushing data between apps when a trigger event occurs (e.g., new Typeform submission → create row in Google Sheets → send Slack notification)
• Automating simple, linear sequences with no branching logic
• Teams with no technical resources who need something working today

Where Zapier falls down: volume and complexity. The pricing model charges per "task" (each action step in an automation), which means high-volume workflows become expensive quickly. And multi-path logic — where different conditions trigger different outcomes — is clunky to build and hard to maintain.

Make: The Power User's Choice

Make (formerly Integromat) is significantly more capable than Zapier at a fraction of the price for complex workflows. Its visual scenario builder lets you design sophisticated automation with:

• Multi-path branching (route actions based on conditions)
• Error handling (what happens when something goes wrong)
• Data transformation (reformatting, calculating, combining fields)
• Loops and iterations (process every row in a spreadsheet, for example)
• Scheduled triggers without per-task costs

The trade-off: there's a steeper learning curve. Building in Make requires some comfort with data structures and logic — it's not drag-and-drop in the same way Zapier is. For businesses without in-house technical resource, this is where having a consultant build and document the automation pays for itself.

Custom APIs: When Nothing Else Fits

Sometimes the tools you need don't have a Zapier or Make connector, or the logic is too complex, or the data volumes are too high for per-task pricing to make sense. That's where custom API development comes in.

Custom API integrations are code-built connections between systems. They're:

• Infinitely flexible — any logic, any data structure, any volume
• Cheaper to run at scale (no per-task fees)
• Owned by you — no dependency on a third-party platform's pricing or availability

The obvious downside: cost and complexity to build. A typical custom integration takes 2–6 weeks to develop and test, and costs €3,000–€15,000 depending on scope. It also requires ongoing maintenance as the connected systems change.

Custom APIs make sense when: your monthly task volume would cost €500+ on Zapier/Make, when you have bespoke data requirements, or when you're building automation as a core product feature rather than a business process tool.

A Decision Framework

1. Can Zapier do it? If it's a simple trigger-action with fewer than 5 steps and low volume, start there. You'll be live in a day.
2. Does it need branching or high volume? Move to Make. More build time upfront, far more headroom for growth.
3. Is the app not supported, or the logic unique? Evaluate a custom build. The economics usually work out if you're running the automation at significant scale.

In practice, most businesses use a mix — Zapier or Make for straightforward internal workflows, and custom API work for their most business-critical integrations.