01
Browser Automation
Headless and headful orchestration that survives DOM shifts, CAPTCHAs and rate ceilings. Playwright, Puppeteer and our own resilience layer.
06 — Services
API Integrations
When the API exists, we integrate. When it doesn't, we build the layer that pretends one does. Either way, the contract is the same: it just works.
API integrations are the daily bread of modern infrastructure and where most projects get stuck. Bad auth, mishandled rate limits, wrong idempotency assumptions, no retry strategy — each leaves debt that explodes six months later. We do integrations that do not break, because we handle what the API docs do not say.
REST, GraphQL, webhooks, gRPC
Every style has its traps. REST: pagination, inconsistent naming, underspecified error codes. GraphQL: query depth, N+1, query cost limits. Webhooks: delivery, retry, signature verification, ordering. gRPC: schema management, backwards compatibility.
We implement integration per style, not per template. Each gets a retry layer with backoff, idempotency keys, circuit breaker, structured error handling and audit-trail logs.
API layer where there isn't one
Sometimes you have to integrate with a system that has no API — a legacy ERP, a bank panel, a client's internal tool. We build an "API layer" over the UI: a Node or Python service that looks like an API, while underneath it drives a headless browser or talks directly to back-end endpoints bypassing the UI. From the integrator's perspective it is a normal REST API. From the operational perspective it is the second life of a system that never had a ready integration interface.
Data contracts and versioning
Every integration has an explicit data contract: schema, field semantics, versioning policy. We use OpenAPI / JSON Schema for REST, SDL for GraphQL, Protobuf for gRPC. Version changes are deliberate, deprecation is communicated, the client has a migration window.
What you get
- Integration implementation with contract documentation
- Retry, idempotency, circuit breaker layers
- Audit log and usage monitoring
- Optional: custom API layer over systems without APIs
- Versioning and deprecation strategy
Stack
Node.js / TypeScriptPython (FastAPI)GoOpenAPIGraphQLgRPCPostgresRedis
FAQ
Frequently asked
How many systems can you integrate?
No hard limit, the constraint is complexity and maintenance cost. Realistically: 5–15 systems per project iteration. Above that — we phase.
Is a Salesforce/HubSpot integration really fast and cheap?
Basic: yes, a few days. A real integration with client customizations, validation, deduplication and business rules: 2–6 weeks depending on scale. Most projects fail on assuming "click-and-done".
What about security? OAuth, JWT, keys?
Standard: OAuth 2.0 with PKCE, tokens in a secret manager (AWS Secrets, GCP Secret Manager, Vault), rotation per client policy, audit log on every call. For enterprise compliance we add mTLS where required.
Other services
Back to services ↗02
Web Scraping & Data Extraction
Production-grade pipelines from one source to thousands. Proxy rotation, schema validation, dedup, change detection and structured delivery.
03
AI Agents & Bots
Goal-driven agents that browse, reason and act. We design tool use, memory and guardrails so the agent does the job — not roleplay it.
Let's talk about your project
Let's make it run itself.
A short conversation about what you want to automate. Proposal within 5 business days.