n8n vs zapier vs power automate: Honest Differences

Every n8n vs zapier vs power automate comparison I’ve read lists features side by side as if the three were the same product in different colors. They aren’t. The biggest difference is how each one bills you, and that decides what you end up building more than any feature does. Zapier bills each step. n8n bills each run. Power Automate bills each person. I run on n8n. My social pipeline, my email capture, and my state mirrors all go through it. I also once had n8n writing to GitHub every 30 minutes, which cost real money somewhere else in the stack, so I know how a billing model shapes your behavior before you notice it happening.

Here is how the three actually differ. At the end I build the same 3-step workflow in each one so you can see it for yourself.

n8n vs zapier vs power automate: what each one is built for

The short answer is that each tool was built for a different buyer, and it shows in every design choice.

Zapier is built for the person who has never heard the word “webhook” and shouldn’t need to. You pick a trigger app, pick an action app, and map a few fields. Its main strength is its huge catalog of app integrations. If some niche CRM exists, Zapier probably has a connector for it. The price of that convenience is that you can’t see much of what happens underneath, and every step you add costs more.

n8n is built for someone who is fine looking at JSON. It’s a node-based canvas where you can see the data passing between every step, write JavaScript or Python inside a Code node, and branch, loop, and merge however you want. It is “fair-code”, which means the source is public and you can self-host it. I covered the self-hosting tradeoff in n8n cloud vs self-hosted.

Power Automate is built for companies that already run on Microsoft 365. It’s part of the Power Platform, next to Power Apps and Dataverse. It reads SharePoint, Teams, Outlook, and Excel easily because it belongs to the same company. It also includes desktop RPA (robotic process automation, meaning software that clicks through old Windows apps the way a person would). Neither Zapier nor n8n does that.

If you only want the two-way version of this fight, I wrote that up in n8n vs Zapier. Adding Microsoft to the comparison changes the answer for a lot of offices.

How the pricing models actually differ

This section matters more than the rest of the article. Plan prices change every few months, so I’m not going to quote dollar figures that will be wrong by Christmas. The billing model stays the same, and the model is what surprises people later.

1. Zapier: per task. Every action step that runs successfully counts as one task. The trigger is free, and each step after it is not. A 5-step Zap that runs 1,000 times a month uses about 4,000 tasks. Plans are sold in task tiers, so adding a step raises your bill.
2. n8n: per execution. One run of a workflow is one execution, whether it has 3 nodes or 30. On n8n Cloud, your plan gives you a set number of executions. On the self-hosted Community Edition, runs cost nothing and you pay for the server. The full breakdown is in n8n pricing explained.
3. Power Automate: per license. You pay per user per month (or per process for unattended bots), and inside that license flows run without a per-step fee. There are request limits, but they’re high enough that most small teams never hit them. The catch is the split between standard and premium connectors. The generic HTTP action, the HTTP request trigger, and many third-party apps are premium, so the free tier that comes with Microsoft 365 won’t cover them.

Per-task pricing charges you for every extra step. Per-execution pricing charges you for how often the workflow runs. Per-license pricing charges you for how many people use it. Work out which of those you’ll have the most of, and that shows you which model costs least.

Here’s how that plays out. An AI workflow with 8 steps (fetch, clean, call Claude, parse, branch, write, notify, log) is expensive on Zapier because every step is a task. On n8n it’s cheap, because it’s one execution. On Power Automate it’s cheap too, as long as the one person who owns it has a premium license. When a department of 40 people each needs to build their own flows, Power Automate’s per-seat pricing gets expensive and n8n’s execution-based pricing looks better.

Can you self-host n8n, Zapier, or Power Automate?

Only one of the three really offers it. Zapier is cloud-only. You can’t run it on your own hardware, and your data passes through their servers. Power Automate cloud flows run in Microsoft’s cloud, inside your tenant (your organization’s private slice of Microsoft 365). Enterprise IT teams like that, because it’s already covered by the compliance agreements they signed. Power Automate Desktop runs on your own Windows machines, but it’s an RPA tool, not a self-hosted copy of the cloud product.

n8n is the only one you can run entirely yourself: a Docker container, a Postgres database, and a reverse proxy. You own the data, you set the execution limits, and you also own the problems. When the container runs out of memory at 2 a.m., nobody from n8n is going to come fix it. I’ve found that tradeoff worth it, because the pipelines I care most about touch API keys and customer emails, and I’d rather those not pass through a third party.

Self-hosting only saves money if someone on the team can keep a server running. If nobody can, n8n Cloud gives you the same editor and the same per-execution pricing, and the ops work is gone. What’s left is just a bill.

AI and agent features compared

All three tools now market themselves as AI platforms, so it’s worth looking at what each one actually lets you build. First, a distinction: a workflow follows a fixed path, while an agent decides its own next step. If that difference isn’t clear yet, read AI agent vs AI workflow first.

n8n has the deepest agent tooling of the three. There’s an AI Agent node that takes a chat model (Claude, via the Anthropic node), a memory node, and a set of tool nodes the agent is allowed to call. It supports MCP (Model Context Protocol, a standard way to hand an AI model a set of tools) as both a client and a server trigger. Because every node shows its inputs and outputs, you can see exactly what the model received and what it sent back. For debugging agents, that visibility matters more than anything else on this list.

Zapier has AI steps you can drop into a Zap, Zapier Agents (describe a job in plain English and it acts across your connected apps), and an MCP server that lets outside AI clients use Zapier’s integrations as tools. It’s the fastest way to go from nothing to “an AI did something in my CRM.” What you give up is visibility: when an agent does something odd, you have much less to go on when you try to figure out why.

Power Automate bets on Copilot. You describe a flow and Copilot drafts it. AI Builder adds prebuilt models for things like reading invoices and extracting fields from documents, plus custom prompts. Copilot Studio is where Microsoft’s actual agent building happens. All of this is strongest when the data is already in SharePoint and Dataverse. Calling Claude directly means using the premium HTTP connector or a custom connector.

Connector depth vs connector count

Zapier wins on the number of apps it connects to, and it isn’t close. Count isn’t everything, though. What matters is depth: does the connector do the thing you actually need, or only the three most popular actions?

This is where n8n’s HTTP Request node earns its keep. If a connector doesn’t exist, or exists but is missing an endpoint, you call the API directly with the same credentials system and keep going. Zapier has a similar Webhooks step, but a raw API call still costs a task. Power Automate’s HTTP action is premium, and custom connectors take real effort to set up.

In practice it looks like this: Zapier is strongest on breadth across a lot of SaaS apps, Power Automate on depth in the Microsoft stack, and n8n on reaching any API at all if you don’t mind reading its docs. I went through the Zapier side of that tradeoff in my Zapier review.

The same 3-step workflow, built three times

Here’s the test. A form submission hits a URL. Claude sorts the message into sales, support, or spam. The result goes into a spreadsheet. That’s three steps, and it’s the kind of thing every small business wants on day one. (If “hits a URL” sounds like jargon, what is a webhook explains it.)

In Zapier

Trigger: Webhooks by Zapier, “Catch Hook.” Action 1: an AI step (or the Anthropic integration) with a prompt that returns one word. Action 2: Google Sheets, “Create Spreadsheet Row.” It takes about ten minutes to build, even for a first-timer. Cost per run: 2 tasks. The Webhooks trigger is a premium app on some plans, so check that before you design around it. If you add a Slack notification later, it goes to 3 tasks per run.

In n8n

A Webhook node, an HTTP Request node (or the Anthropic node) calling Claude, and a Google Sheets node. Cost per run: 1 execution, or zero marginal cost when self-hosted. It takes longer the first time because you’re mapping JSON instead of filling in form fields. Here’s the Claude call as I’d configure it in the HTTP Request node:

{
  "method": "POST",
  "url": "https://api.anthropic.com/v1/messages",
  "headers": {
    "x-api-key": "={{ $credentials.anthropicApi.apiKey }}",
    "anthropic-version": "2023-06-01",
    "content-type": "application/json"
  },
  "body": {
    "model": "claude-haiku-4-5-20251001",
    "max_tokens": 10,
    "messages": [
      {
        "role": "user",
        "content": "Classify this message as exactly one word: sales, support, or spam.\n\n{{ $json.body.message }}"
      }
    ]
  }
}

The next node reads {{ $json.content[0].text }} and writes it to the sheet. I use Haiku for this on purpose: a one-word label doesn’t need a flagship model, and a small model is a big part of why this workflow is cheap to run.

In Power Automate

Trigger: “When an HTTP request is received,” which is premium. Action 1: either an AI Builder prompt, or the HTTP action calling Claude (also premium). Action 2: “Add a row into a table” in Excel Online, or a SharePoint list item. That last one is a standard connector and works smoothly. Cost per run: nothing extra once you have the premium license. Without the license, this workflow can’t be built, which surprises a lot of people who assumed Microsoft 365 already covered it. If the trigger were a Microsoft Form instead of an outside URL, the whole thing would run on standard connectors, and that’s where Power Automate shines.

What the three builds show

Zapier was fastest to build and costs the most as the workflow grows. n8n took the most care up front and costs the least per run. Power Automate costs nothing per run, but only once you’ve paid for the license, and it’s easiest when the inputs come from Microsoft. In the n8n vs zapier vs power automate question, none of them wins every case. It depends on how many steps you have, how often they run, and how many people need access.

If you want to see how an operation that actually runs on n8n is wired, the fleet files are the real prompt and config files my agents run on, behind a simple email gate.

And if you’d rather describe the mess and have it wired up for you, whichever of the three fits, we build that kind of thing.