API Integrations
Reliable connections between the services you depend on — with the edge cases handled.
A modern business runs on a stack of services: store, payment, CRM, shipping, accounting. They don't talk to each other, so humans become the integration layer — copying orders, re-typing data, chasing statuses.
Naive integrations break quietly: a rate limit here, a changed field there — and orders stop flowing until someone notices. The hard part of integration isn't the happy path; it's everything that goes wrong on a Tuesday.
- Businesses stitching their stack together manually — the copy-paste between tools that someone does every single day.
- Teams who had an integration break on them and want it rebuilt with retries, monitoring, and clear logs.
Integration layers that connect your services properly: authentication handled, rate limits respected, failures retried with backoff, and every run logged so when something misbehaves you can see exactly what and when.
When a service has no API, I build resilient data extraction instead — scraping engineered for the messy real-world web, with the same discipline around errors and monitoring. When it breaks, you know before your customers do.
- 01
Audit the stack — which services, which data flows between them, what breaks today.
- 02
Design the integration points — which API does what, the failure modes of each, the fallback when one is down.
- 03
Build with failure in mind — retries, backoff, idempotency, and logs a human can actually read.
- 04
Monitor after launch — because every API changes eventually, and the integration should tell you when.
- Third-party APIs change without asking — fields move, auth rotates, endpoints deprecate. Every integration ships with monitoring so those changes surface as alerts, not silent data loss.
- Rate limits are a design constraint, not an afterthought — heavy flows get queuing and backoff so one busy hour doesn't kill the whole pipeline.
- When scraping is the only path, it's inherently fragile — it needs ongoing care, and I'll always tell you that upfront before building it.
What if a tool we use has no API?
Then I use browser automation and web scraping as the integration path — Playwright or Puppeteer driving the interface the way a human would. It works, it's legal for your own data, and it's inherently more fragile than an API, so I build it with monitoring and I tell you the maintenance cost upfront.
How do you handle failures and retries?
Retries with exponential backoff, idempotent operations so a retry can't create duplicates, and structured logs per run — so a failure is a line in a log you can read, not a mystery in production.
Which stacks do you integrate with?
Anything with an API — my core stack is Node.js/Express and Python for the glue, with PHP when the surrounding system is WordPress or similar. The tool list on this site reflects what I've actually shipped with.
Have a process worth automating?
Tell me what's eating your time — I'll tell you honestly whether it's a fit and how I'd approach it.