How much does API integration cost in Australia?

What does API integration cost by type?

Most of the cost of an integration is decided by its shape: which direction data flows, how many systems are involved, and how much has to happen when something goes wrong. These are typical Australian market ranges for professionally built integrations, in AUD, ex GST. They cover design, build, testing and deployment, not ongoing running costs. They are ranges, not quotes.

Integration type	Typical example	Typical effort	Build cost range
One way webhook or push	New web form submission creates a contact in the CRM and posts to Slack	2 to 5 days	$2k to $8k
Scheduled one way sync with mapping	Paid orders from an online store create invoices in Xero each hour, with tax codes and tracking categories mapped	5 to 12 days	$5k to $18k
Two way sync	Customers, jobs and invoices kept in step between a job management system and accounting, edited on both sides	15 to 40 days	$16k to $60k
Multi system orchestration	Order to cash across ecommerce, inventory, accounting, CRM and a 3PL, with queues, retries, audit logs and dashboards	40 to 100+ days	$45k to $150k+
Integration with no proper API	Nightly file exchange or database access to a legacy system, or screen automation	Add 20 to 50%	Varies

How the ranges are worked out. Effort is converted at an assumed blended agency rate of $1,100 to $1,500 a day. For context, Re:Sourced’s July 2026 guide puts senior software engineer contractor rates in Sydney at $800 to $1,100 a day ex GST, and cloud and platform engineers somewhat higher. Agencies usually charge more than an individual contractor because the rate includes project management, testing, review and support. Our developer rates guide has the wider picture.

The two way sync band is wide on purpose. Syncing two records that only one side edits is not much harder than a one way push. Syncing records that both sides edit, where you need rules for which change wins, is a different project.

What makes an integration cost more?

The other system’s API, your data, and your tolerance for failure drive most of the variation. These are the questions that move a quote from the bottom of its range to the top.

Cost driver	Cheaper when	More expensive when
API quality	Well documented REST or GraphQL, a sandbox, webhooks for changes	Sparse docs, no test environment, polling required, SOAP or proprietary formats
Authentication	API keys or OAuth 2.0 client credentials for one organisation	OAuth flows for many customer accounts, token refresh, per tenant consent screens
Rate limits	Generous limits and bulk endpoints	Tight per minute or per day limits that force batching, queues and backoff
Data mapping	Fields line up; reference data is shared	Different models for customers, products, tax or units; free text to clean
Volume and speed	Hundreds of records a day, delay is fine	Tens of thousands an hour, near real time
Error handling	A person can re-run a failed job	Every failure must retry, alert and land in a queue for review
Audit and security	Internal data only	Financial or personal data needing logs, encryption and data residency
Number of tenants	One business, one connection	A product that connects to hundreds of customer accounts

Rate limits are a good example of a cost that hides in the fine print. HubSpot, for instance, applies a burst limit per 10 seconds per app and a daily limit shared across all apps in an account, varying by product tier, and returns errors once you exceed them. Xero’s developer pricing lists 5,000 API calls per day per connected organisation on its paid tiers and 1,000 on Starter. A sync that is easy at 200 records a day may need queues and incremental logic at 20,000.

Should you use an iPaaS or custom code?

Use an integration platform (iPaaS) such as Zapier, Make, n8n or Power Automate when the flow is simple, the volume is modest and a connector already exists; build custom code when volume, logic, data rules or product needs outgrow it. Many businesses end up with both.

Factor	iPaaS	Custom integration service
Upfront cost	Low: hours to days of setup	Higher: days to months of engineering
Running cost	Subscription that grows with tasks, credits or executions	Hosting, monitoring and maintenance
Speed to first result	Fast where a connector exists	Slower to start
Complex logic and transformations	Gets hard to maintain visually	Natural in code, with tests
High volume	Fees and limits can bite	Scales with your own infrastructure
Data residency and control	Data passes through the platform’s servers, unless self hosted	Runs in your own Australian cloud account
Part of a product you sell	Rarely appropriate	Usually required

Self hosting n8n is a middle path: no per execution fee, but you run, patch and back up the server. For a detailed comparison of pricing units and residency, read n8n vs Make vs Zapier. For the wider economics of automating a process, including a payback worked example, see how much business process automation costs.

What are the ongoing costs, and how did Xero’s 2026 change affect them?

Ongoing costs have three parts: running the integration, maintaining it as the APIs around it change, and fees the platform charges for API access. The third part grew in 2026.

Xero’s move to tiered developer pricing. From 2 March 2026, Xero replaced its revenue share model for app partners with five tiers based on the number of connected organisations and the volume of data pulled from its APIs. At the time of writing, Xero’s developer pricing page lists these tax exclusive prices, measured per app:

Tier	Maximum connections	Monthly fee (AUD)	Included API egress	Overage
Starter	5	No charge	Not applicable	Not applicable
Core	50	$35	10 GB	$2.40 per GB
Plus	1,000	$245	50 GB	$2.40 per GB
Advanced	10,000	$1,445	250 GB	$2.40 per GB
Enterprise	No limit	Price on application	Volume on application	Price on application

Xero says Plus and above require app certification, and Advanced and Enterprise also require a security assessment, which is one reason SaaS builders end up weighing SOC 2 vs ISO 27001. Bespoke integrations that accountants and bookkeepers build for their own practice or a single client are exempt, and Custom Connections, a paid option for machine to machine integrations with a single Xero organisation, stayed on the same commercial terms. Xero’s updated developer terms also prohibit using API data for AI or machine learning training, which matters if you planned to feed accounting data into a model.

A worked example. A SaaS product connects to 300 of its customers’ Xero organisations. That puts it in the Plus tier at $245 a month. If the product pulls 60 GB a month, it pays for 10 GB over the 50 GB allowance at $2.40, or $24, for about $269 a month, or roughly $3,230 a year, before GST. It also needs app certification. A product built to pull full histories on every sync could easily double its egress; one that syncs only changes keeps it down. Integration design now affects the API bill.

Maintenance and running costs to plan for:

• Hosting and monitoring: typically tens to low hundreds of dollars a month for a modest integration service in an Australian cloud region. If the systems being connected are still on premises, see our cloud migration cost guide.
• Maintenance: roughly 15 to 20% of build cost a year for a custom integration, covering API version changes, token and certificate renewals, new fields and fixes. Our software maintenance cost guide explains the basis.
• iPaaS subscriptions, if used, which rise with volume.
• Platform API fees, like Xero’s tiers, and higher plan tiers some SaaS products require before they enable API access.

How long does an integration project take, start to finish?

Engineering effort is only part of the timeline; access, data decisions and testing against real accounts usually take as long again. A typical two way sync between a job management system and an accounting platform runs through these stages:

1. Access and discovery (week 1 to 2). Get API credentials, sandbox or demo accounts, and the documentation for both systems. Confirm rate limits, webhook support and which plan tier enables API access. Many delays start here, waiting on a vendor or an internal admin.
2. Data mapping (week 2). Agree which system owns each field, how records are matched (email, ABN, external ID), how tax codes and products translate, and what happens to records that already exist on both sides.
3. Build (weeks 3 to 7). Authentication and token refresh, the sync logic, change detection, retries with backoff, a failure queue, logging and alerts.
4. Testing with realistic data (weeks 6 to 8). Run against a copy of real data, including the awkward cases: deleted records, merged customers, credit notes, partial payments, very large records.
5. Backfill and cutover (week 8 to 9). Load historical records if needed, within rate limits, then switch on live syncing with close monitoring for the first weeks.
6. Handover. Documentation of the mapping, the failure queue and how to re-run a job, so your team isn’t dependent on one person.

A one way push compresses most of this into days. If the integration feeds a customer portal, the portal’s usefulness depends on this sync being reliable. Bank and energy data shared under the Consumer Data Right follows its own rules; see our Consumer Data Right guide. Multi system orchestration repeats the mapping and testing for every system involved, which is why it costs more than the sum of its parts.

What should an integration quote include?

A good quote names the systems, the direction of each data flow, the volumes it was sized for, and what happens on failure. If a quote only says “integrate system A with system B”, ask about:

• Scope by object and direction: which records (contacts, invoices, payments, jobs) move which way, and which fields.
• Volume assumptions: records per day and peak load, so you know when the design would need to change.
• Error handling: retries, a visible failure queue, alerting, and who gets notified.
• Historical backfill: whether loading existing data is included.
• Environments: whether there is a test environment and how changes are deployed.
• Ownership: that the code, credentials and hosting accounts end up in your name.
• Running costs: hosting, monitoring, iPaaS and platform API fees, and who pays them.
• Support after launch: warranty period, then what maintenance costs.

If two quotes differ by a factor of three, the cheaper one usually leaves out error handling, backfill or testing. Compare them line by line.

How do you keep integration costs down?

Narrow the scope to the data that matters, and design for failure from the start, because the expensive bugs in integrations are silent ones.

1. Start one way. Many “two way” requirements turn out to be one system of record plus a read only copy elsewhere. Decide which system owns each field.
2. Check for a native integration first. Accounting, CRM and ecommerce platforms often already connect. A $40 a month app beats a $20k build when it does the job.
3. Sync changes, not everything. Webhooks or modified since filters cut API calls, egress fees and run time.
4. Agree the data mapping before the build. Tax codes, product codes, customer matching rules and units cause more rework than code does.
5. Build a failure queue and alerts. Failed records should wait somewhere visible with a reason, not vanish.
6. Keep secrets and tokens out of the code and rotate them, so a staff change or vendor incident doesn’t stop the integration.
7. Get sandbox and credentials on day one. Waiting for API access is one of the most common causes of delay in integration projects.

How AWLabs approaches integrations

We start with a Development Consult, then a paid Discovery Audit, credited in full against the build, that maps the systems, the API documentation and limits, the field mapping and the failure cases, so the price reflects the real integration rather than the happy path. The build is then priced as a fixed price Schedule of Work with three options: The Minimum, The Recommended and The Complete. Where a native connector or an iPaaS is the better answer, we say so. Custom integrations run in an Australian cloud region wherever the services you need are offered onshore, with retries, a failure queue, alerts and documentation. Senior engineers lead every build, and code and IP are assigned to you as each stage is paid for. Read more about our API development and integration service, or our workflow automation service if the job is more about process than data.