Zapier vs Make vs n8n for Social Media

The real question in Zapier vs Make vs n8n for social media is not which one has the most connectors. It is how each one counts the work, because fanning one post out to five networks is where the three billing models diverge most for identical output.

First, do you need one of these at all?

None of the three is a social media scheduler, and none of them pretends to be. Zapier’s own pricing page describes no-code automation across 9,000-plus apps. Make defines a scenario as an automated workflow that “defines how different apps communicate and work together”. n8n sells unlimited workflows and every integration, priced on how often a workflow runs. Social connectors are a small corner of general plumbing in all three cases.

Before you price anything, run this test on the job in front of you.

• Does the job start somewhere a scheduler cannot see? A CRM record, a form submission, a webhook from your own app, a row appearing in a warehouse.
• Does it need a decision per item, where the content itself chooses the destination?
• Does something have to be written back afterwards, into a sheet, a CRM or a database?

Three noes mean you are about to pay per action for queueing and publishing, which a scheduler does for a flat fee. That is the answer most people arrive here needing, and it is where I would start before reading which workflows to build first.

SchedPilot is the case in point: nine networks from one queue, being Instagram, X, LinkedIn, TikTok, Threads, Facebook, YouTube, Pinterest and Bluesky. One post, nine destinations, and nothing metered per network or per action. Silver does cap posts at 450 a month and its AI features are sold in credits, so it is not unmetered, just not metered the way these three are. Its honest drawback is that the list stops at nine, with no Google Business Profile, no Mastodon and no Snapchat, so a local business or a community team hits the edge of it. It also has no free plan: a seven-day trial on every tier, and it asks for a card up front. If your destinations sit inside those nine and nothing outside social starts the job, a scheduler removes the need for this entire page, and the free scheduling options are a cheaper experiment than any workflow tier.

The billing models, costed

Each vendor defines its own unit, and the definitions are not interchangeable. These are their words, from their own pricing pages, October 2026.

Zapier bills a task per successful action. Its pricing FAQ: “When Zapier performs an action successfully, it counts as a task. Each successful action in a Zap counts as a separate task.” Triggers are free, stated plainly as “Triggers don’t count toward your task limit”, and so are the built-in steps: Filter, Formatter, Paths, Delay, Looping, Sub-Zap, Digest, Storage, Tables and Forms.

Make bills a credit per module action. Its pricing FAQ says that as of 27 August, credits are the billing unit, and “Every time a module in a scenario performs an action, it consumes credits”. The list of what counts includes reading data from an app or webhook, which means the trigger is billed. Routers and the error handlers (Rollback, Break, Resume, Commit, Ignore) are the documented exceptions and cost nothing.

n8n bills an execution per workflow run. Its pricing FAQ: “An execution is a single run of your entire workflow. It doesn’t matter how many steps are in the workflow or how much data it processes. It’s still a single execution.” The plan cards sell executions “with unlimited steps”.

Both of the per-step vendors qualify their own unit, and those qualifiers matter more than the headline. Zapier says “Some apps or actions may use more than one task when completed successfully”, and its usage note adds that model tier, code runtime and connector type each change how many tasks an action costs. Make says most actions consume one credit, while some advanced features using its AI provider may use more. So neither unit is a reliable one-to-one count of steps, and anyone promising you an exact monthly figure for an AI-heavy workflow on either platform is guessing.

Now the job itself. Take one new blog post that has to reach five networks with text adapted per network, then write a row back to a tracking sheet. Seven things happen: one trigger, five publishes, one write-back. Count it under each model.

Billing question	Zapier	Make	n8n Cloud
Unit name	Task	Credit	Execution
What consumes one	Each successful action	Each module action	One whole workflow run
Is the trigger billed?	No	Yes, reading from an app or webhook counts	The run is the unit
Logic and formatting steps	Free (Filter, Formatter, Paths, Delay, Looping, Digest, Storage)	Routers and error handlers free, transforms billed	Included in the run
Entry allowance as published	100 tasks a month on Free	1,000 credits a month on Free	2,500 executions a month on Starter
The five-network fan-out, per post	6 tasks	7 credits	1 execution

Six tasks on Zapier, because the trigger is free and the five publishes plus the write-back are not. Seven credits on Make, because the same seven steps all count and the trigger is one of them. One execution on n8n, because the whole run is the unit. Add the per-network text adaptation as five explicit formatting steps and the gap widens: Zapier stays at six, since Formatter does not count, Make goes to twelve, and n8n stays at one.

At twenty posts a month, the simple version meters 120 tasks, 140 credits and 20 executions. The version with the five formatting steps meters 120 tasks, 240 credits and 20 executions. Zapier’s free tier looks like the interesting one, because it publishes a 100-task allowance that would carry sixteen posts a month at six tasks each. Free will not run this workflow, though, because it is two-step only and this is a trigger plus six actions, so the allowance only starts to matter on Professional. Make’s 1,000 free credits absorb 142 posts of the seven-credit shape, or 83 of the twelve-credit one. n8n’s Starter allowance of 2,500 executions treats twenty posts as rounding error, 0.8 per cent of the month.

That is the whole decision for fan-out, and it inverts the usual advice. Per-step pricing punishes width: every network you add is another billed action forever. Per-run pricing is indifferent to width, which is exactly the shape social fan-out has. The same logic applies to anything that multiplies, including turning one post into many.

What each is actually good at

Zapier is the fastest route to a working automation, and that is a real virtue when you are not sure the workflow is worth owning. Its catalogue is the biggest number any of the three publishes: more than 9,000 apps by its own count, against Make’s stated more than 1,000, while n8n publishes no count and sells “every integration” instead. The constraint is structural rather than skill. Free is two-step only, and multi-step Zaps start at Professional, which its pricing page prints as “starting from” $19.99 a month in the USD view, meaning a floor at the smallest task tier rather than a price. Polling is tiered too, published as fifteen minutes on Free against one minute on Team.

Make is the one to pick when the job branches. Routers cost no credits at all, which tells you plainly that the vendor expects you to branch; iterating a row of data is on the billable list, so loops are expected too. If a post has to go down different paths depending on whether it carries an image, a video or neither, that is one scenario in Make against a paths structure or several separate Zaps. The price is a visual canvas that gets hard to read as a scenario grows, and a learning curve that front-loads the work.

n8n is for people who will write code inside the workflow, and for anyone who needs the data to stay somewhere specific. Its feature list names code steps in workflows in JavaScript or Python, it self-hosts, and its paid tiers sell concurrency explicitly: five concurrent executions on Starter, up to fifty on Pro. The learning curve is the real cost. n8n expects you to think about the data moving between steps rather than only the connections, and the first workflow where you have to loop over a list is where people either get it or go back to Make. Give it a weekend, not an afternoon.

Social workflows worth building in them

Everything worth building here is something a scheduler cannot do, because it reaches outside social. Four patterns pay for themselves.

• Cross-system triggers. A deal closing in the CRM posts a win note. A support ticket tagged a certain way never does. The trigger lives in a system your scheduler has no connector for.
• Enrichment before publishing. Pull the product price, the stock level or the event date at publish time rather than at draft time, so the post is right when it goes out.
• Routing by content. Vertical video goes to three networks, a long text post goes to two others, and nothing goes to Instagram as a single image unless it is a JPEG, the only format Instagram’s publishing documentation gives for a single-image post.
• Writing back. Logging what went out, where and when, into the sheet you already report from. This is also the cheap half of automated social media reports.

Custom approval notifications belong on the same list, and what you are building is an approval step with a named owner, not a draft parked in a channel nobody reads. The per-run model needs care here rather than celebration. A workflow waiting on a human is a run that has started and not finished, and n8n caps how many executions run at once, five on Starter. Whether a waiting run occupies one of those slots is not something its pricing page states, so test that before you build an approval gate on it.

What is not worth building is the queue itself. Rebuilding evergreen content recycling as a workflow means reimplementing a content store, a rotation order and a minimum interval, on a platform that bills you every time it checks. Buy that. For the plain version of the fan-out job without the enrichment, how to automate posting across platforms covers the scheduler route.

Building the canonical one

The workflow in the diagram above is the one you will actually build. Five parts, in this order.

One trigger, not five. A single source event, usually a new row, a new RSS item or a webhook from your own site. Resist the temptation to build one workflow per network: five workflows means five triggers, five places to fix a bug, and on Make five billed reads of the same source.

A duplicate guard immediately after it. Give every source item a stable identifier, an idempotency key in the usual language, and check it against a store before publishing. A sheet column, a Make data store or an n8n data table all work. This is the step that separates a workflow you can trust from one you watch nervously, because every retry, every re-save of a source row and every replay after an outage will otherwise publish again.

Per-network adaptation before each publish, not one body for all five. Different length limits, different link handling, different media rules. Instagram’s API additionally expires an unpublished media container after twenty-four hours, so a workflow that creates the container and then stalls on approval has a deadline whether you modelled one or not.

An error branch per publish, with one retry and then a human. Retry once, then alert someone with the network name and the post identifier in the message. Silent partial failure is how these workflows rot: four networks got the post, one did not, and nobody finds out for a week.

A write-back at the end, recording what published where. It costs a task on Zapier and a credit on Make, and nothing extra on n8n because it runs inside the same execution. It is the only record you will have when someone asks why Thursday’s post never reached one network.

Self-hosting n8n

n8n’s pricing page lists a standard self-hosted Community edition, available on GitHub at no cost, and neither that page nor its docs names a licence for it, so take the terms from the repository rather than from anybody’s summary. What self-hosting buys is real: the credentials for every social account, and every piece of content on its way to them, stay on infrastructure you chose. Read the residency question carefully before you use it as the reason, though, because n8n answers it on both sides. Its own page says hosted plans store data within the EU on servers in Frankfurt, Germany, and that self-hosted data sits wherever you decide to host it. If your contract requires the EU, Cloud already satisfies it. If it requires a specific country, your own tenancy or an audit trail you control, self-hosting is the only one of these options that gets you there.

What it costs is your time. You own the container, the database, the backups, the TLS certificate, the upgrade that changes a node’s behaviour, and the 3am webhook that silently stopped arriving. None of that is hard. All of it is yours. The honest test is whether somebody is on call, because a self-hosted instance that falls over on a Friday publishes nothing until Monday, and the workflow will not tell you.

Do not attempt it if you are the only technical person, if you have never run a database in production, or if your reason is cost alone. On that last point: n8n’s Cloud trial is published at 1,000 executions, with a five-execution concurrency limit and a 180-second timeout, which is enough to find out whether the per-run model suits you before you decide to host anything. The fourteen-day framing attaches to the Business plan trial, not the Cloud one.

Zapier vs Make vs n8n for social media, decided

If nothing outside your social tools starts the job, buy a scheduler and close this tab. If something does, pick on the shape of the work rather than the feature list: Zapier when you want it running this afternoon and the workflow is narrow, Make when the job branches, n8n when it fans out wide or the data has to stay put. Width is the deciding variable, and per-run pricing is the only one of the three models that does not charge you for it.

Then build one workflow, with the duplicate guard, and watch it for a month before you build the second. The discipline matters more than the platform, which is the argument for learning to automate social media the deliberate way rather than by subscription.