Guide
Zapier or Make to n8n: how the migration actually works
Outgrowing per-task pricing or hitting a complexity ceiling is the usual trigger. Here is what a real migration involves: what maps directly, what needs rebuilding, how long it takes, and when staying put is the smarter call.
In short
Moving from Zapier or Make to n8n is not a button you press, it is a rebuild. There is no automatic converter: each zap or scenario gets recreated as an n8n workflow, one at a time. The upside is real (lower cost at volume, a much higher complexity ceiling, and the option to run it on infrastructure you own), but it only pays off once you are past a handful of simple zaps. Migrations typically run one to three weeks depending on workflow count, done in batches by complexity so nothing breaks mid-way.
The trigger
Why teams outgrow Zapier and Make
Zapier and Make are built for getting started fast, not for staying cheap or flexible forever. The two most common triggers we see are a pricing wall (task or operation counts creeping past what the plan allows, with the next tier a large jump) and a complexity wall (a workflow that needs a loop, a real branch, or custom logic the visual builder cannot express cleanly).
Neither problem is really about the migration being technically hard. It is about recognizing you have hit one of these walls before paying for six more months of a plan you have outgrown, or building three fragile workarounds around a limitation n8n simply does not have.
Three signals
How to tell it is time
Not every Zapier or Make account needs to move. These are the signals worth acting on.
The bill keeps climbing
Task or operation counts creep up every month and the next pricing tier is a big jump. At real volume, n8n on your own infrastructure costs infrastructure only; cloud n8n bills per execution rather than per step, which usually wins once you cross a few thousand runs a month.
You are fighting the builder
A workflow needs a loop, a real if/else branch, or a calculation the visual canvas cannot express, so you end up chaining filters and duplicate zaps to fake it. That is the complexity ceiling showing up.
Data residency or control matters
Regulated data, customer credentials, or a policy against sending workflow data through a third party's cloud. Only n8n can run on infrastructure you own; Zapier and Make are cloud-only.
How a migration runs
The migration, step by step
Same path for every client, sized to how many zaps or scenarios you are moving.
- 1
Audit what exists
Every active zap or scenario gets listed with its trigger, steps, and how often it actually runs. Dead or barely-used automations get dropped here rather than migrated for free.
- 2
Map the logic, not the screen
Each one gets translated to what it is actually doing (trigger, conditions, data transform, destinations) rather than copied step for step, since n8n often expresses the same logic in fewer nodes.
- 3
Rebuild in n8n
Workflows are rebuilt from the mapped logic, credentials reconnected, and any complexity the old builder could not handle (loops, branches, custom code) is added properly instead of worked around.
- 4
Test against real data
Each rebuilt workflow runs against real, recent records rather than a synthetic case, and its output is checked against what the old zap actually produced before anything goes live.
- 5
Cut over in batches
Workflows switch over by group of complexity or criticality, with the old platform left running in parallel until each batch is proven, so nothing goes dark mid-migration.
Translating the concepts
What maps directly, and what does not
The mental model changes more than the underlying logic.
Zap / scenario, workflow
A Zapier zap or Make scenario becomes an n8n workflow. The concept is the same: a trigger followed by a chain of actions. The canvas and the vocabulary are what change.
Task / operation, execution
Zapier counts tasks, Make counts operations, both per step. n8n cloud counts executions, and one execution can run many steps, which is usually cheaper at volume. n8n on your own infrastructure does not meter this at all.
Connected app, node with credentials
The apps connected in Zapier or Make reconnect as nodes with their own stored credentials in n8n. Most mainstream integrations (Gmail, Slack, Sheets, HubSpot, Stripe) exist as native nodes; anything niche falls back to an HTTP request node.
Filters and paths, branches and code
Where Zapier used filters and paths, and Make used routers, n8n gives you a real IF/Switch node and, when needed, a Code node for logic no visual block covers. This is usually where a migration gets simpler, not harder.
Side by side
Zapier or Make vs n8n, after the move
Same automation, different platform underneath.
| Dimension | Zapier / Make | n8n |
|---|---|---|
| Pricing at volume | Per-task or per-operation billing; costs climb in steps as the next tier kicks in. | Your own infrastructure: infrastructure cost only. Cloud: per-execution, usually cheaper once volume is real. |
| Complex logic | Loops and multi-branch logic get faked with chained filters and duplicate zaps. | Native loop, branch and code nodes handle it directly, in one workflow. |
| Hosting | Cloud only, on their infrastructure. | Your own infrastructure or cloud, your choice. |
| Data control | Workflow data passes through a third-party cloud by default. | A private deployment keeps data and credentials on your own infrastructure. |
| AI and agent workflows | Basic AI nodes; limited depth for RAG or multi-step agents. | Native AI agent nodes, LangChain integration, custom code for embeddings and vector stores. |
Pricing at volume
- Zapier / Make
- Per-task or per-operation billing; costs climb in steps as the next tier kicks in.
- n8n
- Your own infrastructure: infrastructure cost only. Cloud: per-execution, usually cheaper once volume is real.
Complex logic
- Zapier / Make
- Loops and multi-branch logic get faked with chained filters and duplicate zaps.
- n8n
- Native loop, branch and code nodes handle it directly, in one workflow.
Hosting
- Zapier / Make
- Cloud only, on their infrastructure.
- n8n
- Your own infrastructure or cloud, your choice.
Data control
- Zapier / Make
- Workflow data passes through a third-party cloud by default.
- n8n
- A private deployment keeps data and credentials on your own infrastructure.
AI and agent workflows
- Zapier / Make
- Basic AI nodes; limited depth for RAG or multi-step agents.
- n8n
- Native AI agent nodes, LangChain integration, custom code for embeddings and vector stores.
Being honest about it
Timeline, cost, and when to skip it
A migration of five to ten simple zaps usually runs about a week. Twenty to forty, including a few with real branching, is closer to two to three weeks. The work scales with workflow count and complexity, not with how long you have used Zapier or Make.
Skip it if you are under five simple zaps and comfortably inside the free or first paid tier. The rebuild effort will not pay for itself yet. Migrate when the bill, the complexity ceiling, or a data-control requirement is already a real, present cost, not a hypothetical future one.
Questions we hear about migrating to n8n
Straight answers before you touch a single zap.
Is there an automatic converter from Zapier or Make to n8n?
No. There is no reliable one-click import. Each zap or scenario is rebuilt as an n8n workflow from its logic, which is also the chance to simplify anything that was awkward in the old builder.
How long does a typical migration take?
One to three weeks for most SME accounts, depending on how many zaps or scenarios you are moving and how much real branching logic they contain.
Can we run both platforms in parallel during the switch?
Yes, and we recommend it. Workflows cut over in batches while the old platform keeps running as a safety net, so nothing is dark while the new version is proven against real data.
Do we need our own developer for this?
No, we handle the audit, rebuild and testing. You are needed to confirm which zaps are still active, approve credential reconnections, and sign off on cutover for each batch.
What is most likely to break during migration?
Anything that relied on a Zapier or Make-specific quirk (a particular filter behavior, a formatter step) rather than the underlying app's actual data. That is exactly what the mapping and testing steps are designed to catch before cutover.
What happens to our historical run data?
It stays in Zapier or Make; there is no practical way to import history into n8n, and you do not usually need it live. If you need records for audit or reporting, we can export what the old platform allows before the account is downgraded or closed.
Still paying for a plan you have outgrown?
Tell us how many zaps or scenarios you are running and where they are getting expensive or awkward. We will tell you honestly what a migration would take, and whether it is worth doing yet.