API Integrations
API integration is the engineering discipline of keeping two or more systems in sync reliably - your product, a payment provider, a CRM, an ERP - so data flows correctly even when networks drop, webhooks arrive twice, or an upstream provider changes its response shape without warning. Broken integrations rarely fail loudly; they fail quietly, and you find out from a customer or a finance reconciliation weeks later.
About API Integrations
We design connection layers with retries, idempotency, and observability built in from the start, treating integration code as a real module in your system - not a scattered collection of API calls copy-pasted wherever a feature needed data from somewhere else. Our engineers have wired everything from Stripe and Shopify webhooks to custom ERPs, legacy SOAP endpoints, and internal systems that were never designed to talk to anything else.
This work often starts as a rescue: an existing integration that fails silently, drops webhooks under load, or has drifted out of sync with no one noticing until numbers stopped matching. We diagnose those failures and refactor the fragile parts into something your team can trust and extend.
What's included
Everything we deliver on this engagement
Integration architecture
We design the connection layer using REST, GraphQL, webhooks, or message queues depending on what the systems involved actually support and how much volume needs to flow through it. The architecture is documented so future integrations follow the same pattern instead of each one reinventing its own approach.
OAuth, API keys, and token refresh implemented correctly
Authentication flows are one of the most common sources of silent integration failure - tokens expiring mid-sync, refresh logic that only half-works. We implement these flows with proper error handling and automatic refresh so a connection does not quietly stop working after a few weeks.
Idempotent webhook handlers
Webhooks get delivered more than once more often than most teams expect - network retries, provider bugs, at-least-once delivery guarantees. We build handlers that recognize duplicate events and process them safely, so a retried webhook does not double-charge a customer or duplicate a record.
Background job processing
Sync work that can be slow, rate-limited, or occasionally fail runs through Laravel queues or Node workers rather than blocking a user-facing request. This keeps your application responsive and gives us a natural place to implement retries and backoff.
Rate-limit handling and circuit breakers
Third-party APIs throttle or fail under load, and integrations need to degrade gracefully rather than hammering a dead endpoint or silently dropping requests. We implement backoff strategies and circuit breakers so temporary upstream issues do not cascade into a bigger outage.
Logging, alerting, and replay tooling
When a sync event fails, someone needs to know quickly and be able to replay it once the underlying issue is fixed. We build dashboards showing sync lag and error rates, plus tooling to reprocess failed events without writing a one-off script under pressure.
Our process
How we deliver api integrations
- 01
Map data flows (week 1)
We diagram which systems own which data, what should happen when upstream APIs change or go down, and where conflicts need resolution rules.
- 02
Build the integration layer (weeks 1–4)
A dedicated service or module - not scattered API calls - so the logic is testable, reusable, and easy for your team to extend later.
- 03
Test edge cases (weeks 3–5)
Duplicate webhooks, partial failures, timezone mismatches, and schema changes are tested deliberately before anything touches production data.
- 04
Monitor in production (ongoing)
Dashboards and alerts on sync lag, error rates, and API quota usage so issues surface as a notification, not a support ticket.
Tech stack
Tools we use for api integrations
Laravel & PHP
Queues, jobs, and a mature ecosystem for webhook handling make Laravel a strong default for integration layers on PHP stacks.
Node.js
Event-driven and well-suited to realtime webhook processing and services that bridge multiple APIs with different protocols.
Python
Used for integrations that involve heavier data transformation, legacy protocol handling, or scripting around less common APIs.
MySQL / PostgreSQL
A durable store for sync state, mapping tables, and audit history of what was synced, when, and whether it succeeded.
Redis
Backs job queues, rate-limit counters, and idempotency keys so duplicate deliveries and retries are handled cheaply and fast.
Docker
Reproducible environments for integration services, including sandbox setups that mirror production without touching real third-party accounts.
Supabase
A managed Postgres and realtime option when the integration layer needs to notify a frontend the moment synced data changes.
Who this is for
Use cases that commonly need api integrations
E-commerce teams syncing inventory and orders across platforms
Stock levels and orders need to stay consistent between Shopify, a warehouse system, and internal tools. We build sync layers with conflict resolution rules so overselling and stale inventory counts stop happening.
SaaS products connecting to Stripe, CRMs, or accounting software
Billing events, customer records, and invoices need to flow correctly between your product and the financial and sales tools your team relies on. We wire these connections with idempotent handling so a webhook retry never creates a duplicate charge or contact.
Companies with existing integrations that fail silently
A sync job that used to work now drops events under load, or nobody notices when it stops running until a report looks wrong. We diagnose the failure mode, add logging and alerting, and refactor the fragile parts into something observable.
Businesses integrating with legacy ERPs or SOAP endpoints
Modern REST or GraphQL is not always available - some systems only expose SOAP, flat-file exports, or database dumps. We wrap these in a modern integration layer with scheduled jobs and monitoring so the rest of your stack does not need to know how outdated the source system is.
Common mistakes
What teams get wrong about api integrations
"If the integration worked in testing, it will work in production"
Sandbox environments rarely reproduce duplicate webhook delivery, real rate limits, or the exact timing issues that show up under production load. We test these edge cases deliberately because they are exactly the scenarios that break integrations quietly weeks after launch.
"Webhooks only ever fire once"
Most providers guarantee at-least-once delivery, which means duplicates are a normal, expected occurrence - not an edge case. Handlers that assume single delivery eventually double-process an event, often with financial consequences.
"We can just add API calls wherever we need the data"
Scattering third-party calls across the codebase makes integrations impossible to test, monitor, or change safely. A dedicated integration module or service keeps the logic in one place so it can be observed and maintained like the rest of your system.
"An integration that's been running fine needs no monitoring"
Integrations that have run silently for months are often the riskiest, because nobody would notice if they started failing. Adding logging and alerting to existing integrations is frequently the first thing we do before touching the logic itself.
Pricing & timeline
What to expect on budget and schedule
Single two-system integrations often start at $4k–$10k, covering authentication, the core sync logic, and basic monitoring. Multi-system sync hubs with admin tooling, conflict resolution, and replay capabilities run $15k–$35k depending on how many systems and edge cases are involved.
Straightforward OAuth and webhook flows can ship in 1–3 weeks. Complex bidirectional sync with conflict resolution and legacy system support typically needs 4–8 weeks, tested thoroughly against duplicate and failure scenarios before going live.
Rescue engagements for existing broken integrations are usually scoped after a short diagnostic review, since the fix effort depends heavily on how the current code is structured and how much can be reused versus rebuilt.
FAQ
Common questions about api integrations
How much do API integration projects cost?
- Single two-system integrations often start at $4k–$10k. Multi-system sync hubs with admin tooling run $15k–$35k.
How long do API integrations take to build?
- Straightforward OAuth and webhook flows can ship in 1–3 weeks. Complex bidirectional sync with conflict resolution typically needs 4–8 weeks.
Can you integrate with legacy systems that don't have modern APIs?
- Often yes - via database exports, file drops, or screen-scraping as a last resort, wrapped in reliable scheduled jobs with monitoring so the rest of your stack does not need to touch the legacy system directly.
Do you fix broken integrations in existing applications?
- Yes. We diagnose silent failures, add logging and alerting, and refactor fragile integration code into maintainable, testable modules rather than patching symptoms one at a time.
How do you prevent duplicate webhook deliveries from causing problems?
- We implement idempotency keys and deduplication logic so a webhook that fires twice - which is normal provider behavior, not a bug - gets processed safely without creating duplicate charges or records.
What happens when a third-party API changes its response format?
- We build schema validation and alerting so a breaking upstream change surfaces as a monitored failure immediately, rather than silently corrupting data until someone notices downstream.
Related
Related services and work
Portfolio & reading
Ready to scope api integrations?
Tell us about your product, timeline, and constraints. We reply within one business day with next steps - no generic pitch deck.