Zapier vs Make vs Custom API Integration: Which Should You Use?

Connecting Xero to your CRM, or pushing Shopify orders into Sage, usually comes down to a single decision: wire it up with a no-code tool like Zapier or Make, or build something custom? This guide walks through the honest trade-offs — and yes, very often no-code is the right call.

We're an integration shop, and we still recommend Zapier or Make to roughly half the businesses who ask us. The goal here isn't to talk you into a custom build. It's to help you spend the least money for an integration that won't quietly break.

The three options in plain English

Zapier is the most popular no-code automation tool. You connect two or more apps and build "Zaps" — when something happens in App A, do something in App B. It has the largest app library (thousands of connectors) and is the easiest to learn. You can have a working automation running in an afternoon.

Make (formerly Integromat) is a more powerful no-code/low-code tool. Instead of linear "if this, then that" steps, you build visual "scenarios" on a canvas with branches, loops, filters and data transformations. It's noticeably cheaper per operation at volume and far more capable on complex logic — at the cost of a steeper learning curve.

Custom API integration means writing code (or commissioning it) that talks directly to each system's API. It runs on your own infrastructure or a managed service, behaves exactly how you specify, and has no per-task pricing. It costs more up front and needs someone to maintain it.

The honest framing: Zapier and Make sit on a spectrum from "easiest" to "most powerful". Custom sits beyond Make for control and reliability, but with real ownership cost. Most businesses should start as far left as their requirements allow.

How they compare

Factor	Zapier	Make	Custom
Ease / speed to first result	Highest — minutes to hours	Moderate — hours to days	Lowest — days to weeks
Cost at low volume	Low (free–~£20/mo)	Very low (free–~£8/mo)	High up front
Cost at high volume	Expensive (per-task)	Cheaper (per-operation)	Flat — no per-run fee
Complex logic & branching	Limited	Strong	Unlimited
Data volume / batch jobs	Weak	Moderate	Strong
Error handling & retries	Basic (auto-retry, alerts)	Good (error routes, rollback)	Whatever you build
Maintenance burden	Lowest	Low–moderate	Highest (you own it)
Lock-in	High	Moderate	Low (you own the code)
Bespoke / niche systems	Connector must exist	Connector or HTTP module	Anything with an API

Prices above are indicative UK market ranges, not quotes — vendor pricing changes regularly, so check current plans before you commit.

Ease and speed

Zapier wins outright. If your need is "when a new Stripe payment comes in, create a row in Google Sheets and send a Slack message", you can build, test and ship that in under an hour with no technical help.

Make is more involved. The canvas is more powerful, but you'll spend time understanding modules, mapping fields and reading data structures. Realistically, budget a few hours for your first useful scenario.

Custom is the slowest to first result. Even a simple integration needs design, API credentials, code, testing and deployment. That's days, not minutes — which is exactly why you shouldn't reach for it unless the requirements justify it.

Cost at scale

This is where the picture flips, and it catches people out.

No-code tools charge per task (Zapier) or per operation (Make). A "task" is roughly one action; a Make "operation" is one module run, so a single record passing through a five-step scenario costs five operations. At low volume this is trivially cheap. At high volume it adds up fast.

A rough worked example: suppose you sync 10,000 orders a month, and each order triggers a chain of five steps.

• Zapier: ~50,000 tasks/month, which pushes you into higher-tier plans costing hundreds of pounds a month.
• Make: ~50,000 operations/month, but operations are far cheaper per unit — often a fraction of Zapier's cost for the same work.
• Custom: the marginal cost of the 10,000th order is effectively zero. You pay for hosting (often £10–£50/month) plus the original build.

So the cost crossover is real. At a few hundred runs a month, Zapier is the cheapest total cost once you factor in your time. At tens of thousands of runs, custom often wins — and Make sits sensibly in between.

Reliability and error handling

This is the factor most businesses underweight, and the one that causes the most pain.

Zapier auto-retries failed steps and emails you when a Zap errors. That's adequate for low-stakes automations. But its handling of partial failures is blunt: if step three of five fails, you can end up with half-finished work and limited tools to clean it up.

Make is genuinely better here. You can attach error-handler routes to modules, choose to ignore, retry, roll back or commit, and break long jobs into manageable chunks. For anything touching money or stock, that matters.

Custom gives you whatever you're willing to build: idempotency (so re-running can't double-charge), dead-letter queues, structured logging, alerting into your existing tools, and reconciliation jobs that catch silent drift. None of this is free — but for finance-critical flows it's often the difference between trust and a monthly firefight.

A useful rule of thumb: the more an integration touches invoices, payments or inventory, the more error handling matters — and the further right you should lean.

Complex logic and data transformation

If your integration is "move this field to that field", any of the three will do.

The moment you need real logic — look up a customer, branch on their account type, deduplicate, aggregate line items, apply VAT rules, reformat dates, call a third API to enrich the record — Zapier starts to strain. You can bolt on code steps and "Paths", but it gets fiddly and hard to maintain.

Make handles a lot of this natively with routers, iterators, aggregators and built-in functions. Custom handles all of it, with no ceiling, in code your team (or ours) can read and test.

Data volume and batch work

No-code tools are built for event-driven, record-by-record flows. They're poor at "process this 200,000-row export every night". You'll hit rate limits, timeouts and operation costs.

Custom integrations are built for batch and bulk: paginated API calls, parallel processing, queues and scheduled jobs. If your reality is large nightly syncs or migrations, this is decisive.

Maintenance and lock-in

No-code's biggest hidden cost is lock-in. Your business logic lives inside Zapier's or Make's proprietary interface. If you leave, you rebuild from scratch. Pricing changes are out of your control. And "it just works" can become "nobody remembers how this Zap works" once the person who built it leaves.

Custom code is yours. You can move hosts, hand it to a new developer, version-control it and document it. The trade-off: someone has to own that maintenance. An unmaintained custom integration is more dangerous than an unmaintained Zap, because there's no vendor keeping the underlying connectors patched.

A simple decision framework

Use Zapier when:

• You're connecting popular apps that already have solid connectors.
• Volume is low to moderate (hundreds, not tens of thousands, of runs a month).
• The logic is simple and linear.
• A failed run is an inconvenience, not a financial event.
• You want non-technical staff to build and tweak automations themselves.

Use Make when:

• You need branching, loops, filtering or data reshaping, no-code style.
• Volume is moderate to high and Zapier's per-task pricing hurts.
• You want better error handling than Zapier without committing to a full build.
• You're comfortable investing a little learning time for a lot more capability.

Use custom when:

• A system has no good connector (a bespoke ERP, an older line-of-business app, a niche UK platform).
• The flow touches money, stock or compliance and needs bulletproof error handling, idempotency and audit logging.
• You're processing high volumes or large batches where per-task pricing becomes painful.
• The logic is genuinely complex and central to how the business runs.
• You want to own the asset with no lock-in.

A pragmatic hybrid

These aren't mutually exclusive. A common, sensible pattern: use Zapier or Make for the long tail of simple notifications and admin glue, and build custom only for the one or two flows that are high-volume or business-critical. Many of the best setups we see are exactly this mix — no-code for breadth, custom for the load-bearing connections.

You can also start on no-code to validate that a process is worth automating, then graduate the critical parts to custom once the volume and stakes justify it. That sequencing keeps your early spend low.

The honest verdict

No-code is the right answer more often than integration agencies like to admit. If Zapier or Make solves your problem reliably and affordably, use it — that's genuinely the smart move, and it's what we'll tell you if it's true for your situation.

Reach for custom when the maths changes: high volume making per-task pricing painful, money-critical flows needing real error handling, bespoke systems with no connector, or complex logic that turns a no-code build into an unmaintainable tangle. At that point a custom API integration usually costs less over its life and lets you sleep at night.

The mistake to avoid runs in both directions: forcing a complex, high-volume, finance-critical flow through Zapier because it's familiar — and over-engineering a custom build for something three Zaps could handle.

How APIwise can help

We're a UK-based, vendor-neutral integration team. We're not paid by Zapier, Make or anyone else, so our advice is shaped by what actually fits your systems, volume and risk — including telling you when no-code is the better, cheaper choice.

If you're weighing up Zapier vs Make vs custom and want a clear, costed recommendation rather than guesswork, start with our fixed-price Integration Health Check. We map your systems, data flows and failure points, then tell you exactly which approach fits each integration — and what it should cost. The audit fee is credited against any build Sprint that follows.

Book your Integration Health Check and we'll tell you straight which tool the job actually needs. You can also explore our API integration, AI automation and data integration services.