Zapier wins on simplicity and the widest app catalog — best for non-technical teams. Make wins on price-to-power with a visual canvas — best for complex, branching workflows. n8n wins on flexibility, AI and data ownership — best for technical teams that want to self-host. Pick by how complex your workflow is and how technical your team is.
Zapier, Make and n8n all do the same core job — connect your apps and run a workflow automatically — but they're built for different people. Choosing wrong means either fighting a tool that's too basic or drowning in one that's too complex. This guide breaks down the real differences, then shows the fastest way to build a workflow for whichever you choose.
At a glance
| Zapier | Make | n8n | |
|---|---|---|---|
| Best for | Non-technical, fast setup | Complex visual workflows | Technical teams, self-host |
| Interface | Simple trigger → action | Visual node canvas | Node-based, code-friendly |
| Integrations | 8,000+ (widest) | Deep, fewer apps | ~1,000 + HTTP to anything |
| Pricing model | Per task (punishes steps) | Per operation (better value) | Fair-code, free if self-hosted |
| AI features | Accessible, limited | Solid middle ground | Most advanced (agents, LLMs) |
| Learning curve | Lowest | Medium | Steepest |
Zapier — the easiest on-ramp
Zapier has been the no-code benchmark since 2011. Its strength is accessibility: a simple trigger-and-action model and the largest app ecosystem (8,000+ integrations), so almost anything you use is supported. The trade-off is its task-based pricing — every action step counts, so multi-step automations get expensive fast — and less depth in complex logic. Choose Zapier if you're non-technical, want the widest app coverage, and value the simplest path from trigger to action.
Make — the most power per dollar
Make (formerly Integromat) gives you a visual canvas where you see the whole workflow as a diagram, which makes branching and multi-step logic far easier to build and debug. Its operation-based pricing generally delivers more volume for the money than Zapier, and its integrations often expose deeper functionality. Choose Make if your workflows branch and transform data, and you want a no-code tool that scales in complexity without scaling the bill as steeply.
n8n — the most flexible (and AI-native)
n8n is node-based and fair-code: the source is open and you can self-host on your own infrastructure for full control over data and cost. Its catalog is smaller (~1,000), but its HTTP node and custom-code support mean it can connect to virtually any API. It's also the most AI-capable — recent versions added native LLM/agent nodes and self-hosted model support. The cost is a steeper learning curve. Choose n8n if you're technical, have compliance or data-residency needs, or run high volumes where self-hosting pays off.
Don't ask "which tool is best?" Ask "how complex is my workflow, and how technical is my team?" The answer picks the tool for you.
So which should you choose?
- Choose Zapier if you're non-technical and want the widest, simplest integrations.
- Choose Make if your workflow branches and you want power without Zapier's per-task bill.
- Choose n8n if you're technical, want to self-host, or need advanced AI workflows.
The faster way to build for any of them
Whichever platform you pick, the slow part isn't choosing it — it's translating the workflow in your head into the tool. That's where most automation projects stall. Instead of rebuilding the task step by step, you can capture it by recording: Spion records the task once in your browser, reconstructs the steps, and exports a ready-to-run blueprint to Make, Zapier or n8n (or Claude). You decide the destination; Spion does the building. See how the export works.