Zapier vs n8n: Which Automation Tool to Pick

Zapier vs n8n is a question about who will maintain the automation, not about which tool has more integrations. Both connect thousands of apps. Both run AI steps. The difference shows up three months in, when a workflow breaks at 2am or the bill arrives.

I have built client automations in both and migrated workflows in both directions. Here is the decision framework that actually holds.

The short answer#

Pricing models, not prices#

This is the part people get wrong. The published numbers matter less than the unit.

Zapier charges per task, where a task is roughly one action in one step. A ten-step workflow that runs 1,000 times a month is 10,000 tasks. Costs scale with workflow complexity, which quietly punishes exactly the workflows worth building.

n8n charges per workflow execution on its cloud plans. One execution is one run, whether it has three steps or thirty. Complex workflows are effectively free to deepen. Self-hosting the community edition removes the per-execution bill and replaces it with a small server and your own maintenance time.

The practical consequence: Zapier gets expensive as your automations get good. n8n gets cheaper as they get complex. For a handful of simple two-step zaps, Zapier is fine and probably cheaper in total cost once you count your hours.

Where Zapier still wins#

Setup speed. Trigger, action, done. Ten minutes for a working automation without reading documentation.

Integration breadth and polish. Zapier's app directory is enormous and its connectors are maintained aggressively. That obscure CRM your client uses is more likely to be there.

No infrastructure. Nothing to host, patch or monitor. For a small team without technical staff, that is the whole argument.

Support when it breaks. You file a ticket instead of reading logs.

If your automations are "form submission goes to sheet, sheet notifies Slack," Zapier is the right answer and switching would be a waste of a week.

Where n8n wins#

Complex logic. Branches, loops, error handling, retries and a code node for the 5% no connector covers. Real business processes have exceptions; n8n models them.

AI agent workflows. Native LLM and agent nodes mean you can build a workflow that decides what to do next rather than following a fixed path. This is the fastest-growing use I see with clients. See n8n workflows for the ones that pay for themselves and how to build an AI agent for the design pattern.

Self-hosting. Sensitive data stays on your infrastructure, which turns a legal objection into a solved problem. It also means long-running jobs do not burn a metered budget.

Cost at volume. Once you are past a few thousand runs a month, the difference is not marginal.

Where Make fits#

Make is the middle path: visual like Zapier, more capable than Zapier, cheaper than Zapier at volume, and cloud-only. If n8n's self-hosting is irrelevant to you and Zapier's bill is the only problem, Make solves it with a gentler learning curve than n8n.

My rule: if the reason you are leaving Zapier is price, look at Make. If the reason is control — custom logic, data residency, AI agents — go to n8n.

The real decision: who maintains it#

Automation is not a project, it is a system that needs an owner. Ask three questions:

1. Who fixes it when an API changes? If the answer is "our marketer," choose the tool that marketer can debug without help.
2. How visible is failure? A silent broken workflow is worse than no workflow. Whatever you choose, add a notification on failure on day one.
3. What happens if that person leaves? Self-hosted n8n with no documentation is a liability. Write down what each workflow does and why.

I have seen more automation projects die from unclear ownership than from tool limitations.

A migration plan that does not waste a month#

1. List every live automation with its monthly run count and business value.
2. Kill the dead ones. In most audits, a third of workflows are running for nobody.
3. Rebuild only the top five in the new tool, in parallel with the old ones still live.
4. Run both for two weeks and compare outputs, not screenshots.
5. Switch the trigger, keep the old version disabled for a month before deleting.

Never migrate everything at once. Never migrate the broken ones — rebuild them properly or drop them.

Mistakes to avoid#

• Automating a process nobody has documented. You will encode the mess. Write the steps on paper first.
• Ignoring error paths. What happens when the API returns 429? Design it, do not discover it.
• Self-hosting with no backups. The cost saving evaporates the first time you lose a database.
• Putting AI in a workflow with no verification step. An agent that posts unchecked output to a client channel is a reputation incident waiting for a Tuesday.

Verdict#

Choose Zapier if a non-technical person owns automation and your workflows are simple: you will ship faster and the bill will stay small. Choose n8n when you are building real systems — branching logic, AI agents, sensitive data, high volume — and someone technical is accountable for them. Choose Make if price is the only reason you are leaving Zapier.

If you want the workflows designed around your actual marketing process rather than assembled from templates, that's part of what my AI training packages cover, the AI automation agency page is where I do this work for clients, and AI marketing automation shows what the finished systems look like.