— 01
Connect a payment system: Stripe, YooKassa, Tinkoff, PayPal
Service
and API
Integrations.
I'll connect payments, CRM, telephony, messengers, maps, analytics, and any external APIs. I'll set up data exchange so your services work as a unified system — no manual copying, no scattered data.
Reliable connection
Retry
Timeouts
Error Handling
Speed
1 – 5
Approach
Adapters and abstractions
01 — Who it's for
Who needs API integrations and external service connections?
— 02
Sync data with CRM: amoCRM, Bitrix24, HubSpot, Salesforce
— 03
Set up notifications via Telegram, WhatsApp, Email, or SMS
— 04
Connect telephony: Zadarma, UIS, Megafon, call recording to system
— 05
Build data exchange with 1C, accounting systems, or logistics
— 06
Build or improve a public API for clients and partners
02 — What's included
Full integration design and implementation cycle
adapters · reliability · observability
I build integrations that don't break your system when the partner fails
Most integration problems aren't with the API itself — they're from missing error handling, retry logic, and proper logging. I own the full cycle: from reading the docs to monitoring in production.
REST / GraphQL
Webhooks
Laravel / PHP
Queue / Jobs
OAuth 2.0
OpenAPI / Swagger
01
API analysis and integration design
Documentation is not the truth
Official API documentation often lags behind actual service behavior: outdated examples, undocumented error codes, unexpected rate limits. Starting implementation without reconnaissance means discovering problems mid-process rather than before it.
Hidden complexities that surface at the end
Rate limits, cursor-based pagination instead of offset, async operations with polling, differences between sandbox and production, undocumented required headers — these are typical surprises that emerge during integration if the API isn't studied upfront.
How I handle this
Before writing any code, I study the API: read the docs, test endpoints in a real sandbox, verify error behavior. I design the interaction schema: what data flows in which direction, where calls are synchronous versus asynchronous, where webhook handlers are needed. This surfaces complexity before development starts.
02
Payment systems
Payments — zero tolerance for errors
A lost payment, a double charge, an incorrect refund — these aren't just technical bugs, they're financial and reputational damage. Payment integration requires extra care: request idempotency, correct handling of all statuses, reliable webhook processing.
A webhook that loses events
The payment system sends a successful payment notification, but your server was restarting at that moment — the event is lost. The order isn't processed, the money is charged. Without queues and idempotent processing, this is a real scenario.
How I handle this
I implement the full cycle: payment initiation, callback/webhook handling, status confirmation, refunds. Webhook events go into a queue and are processed idempotently — duplicate delivery doesn't create duplicates. All transactions are logged with full context for auditing and dispute resolution.
03
CRM and sales systems
Data in two places is data in neither
The manager enters data in CRM, the developer in their own system. After a month they diverge: different contacts, different deal statuses, different history. Two-way sync without clear conflict resolution logic leads to chaos, not order.
Data mapping — the hidden complexity
The 'Deal Status' field in your system has 5 values, in CRM it has 12. A contact in your database is one record, in CRM it's three objects (contact, company, deal). Without explicit mapping and conversion rules, sync will break on every edge case.
How I handle this
I design data mapping explicitly: which field goes where, how values are converted, whose record wins on conflict. I implement sync via webhooks and periodic jobs with deduplication. All sync conflicts and errors are logged and alerted — they don't silently disappear.
04
Messengers and notifications
A notification that didn't arrive is worse than no notification
The client is waiting for an order confirmation. The system 'sent' an SMS, but the provider returned an error — and nobody noticed. Without logging sends and handling delivery errors, notifications live in 'hoping it got there' mode.
A Telegram bot that crashes under load
Long polling in a synchronous request, processing updates without a queue, blocking operations in handlers — the standard setup for a bot that works fine with ten users and breaks with a hundred.
How I handle this
I implement sending via queues: the notification is queued instantly and processed in the background with retry on error. For Telegram — webhooks instead of long polling, processing via queues. Every send is logged: status, provider, response. Alerts on a series of failed sends.
05
Telephony and call center
A call without history is lost context
The manager picks up and doesn't know who's calling, whether this client has called before, or what they ordered. CRM exists, telephony exists, but they're not connected. Every call starts from zero — 'tell me about yourself'.
Call recordings without client linking are useless
An archive of recordings with no search by client, date, or manager is just storage. A call center's value multiplies when recordings are linked to a client card, deal, or support ticket and accessible in one click.
How I handle this
I connect telephony via the provider API (Zadarma, UIS, Mango, and others): inbound calls create or open a client card, outbound calls are initiated from the interface. Call recordings are linked to the system object and accessible via link. I configure webhook event handlers: start, end, missed call.
06
1C and accounting systems
1C is its own world with its own rules
COM objects, web services, OData, HTTP services, direct database connections — 1C has several integration methods, and the right choice depends on the version, configuration, and what exactly needs to be synced. 'Just connect to 1C' without understanding this context doesn't work.
Two-way sync with transactional data
An order is created on the website and must appear in 1C. Payment is recorded in 1C and must update the status on the website. Inventory changes in 1C and must sync to the catalog. Each direction is a separate scenario with its own rules, sequencing, and conflict handling.
How I handle this
I choose the integration method for the specific 1C configuration: HTTP services for modern versions, OData or COM for specific cases. I implement exchange via queues with logging of every operation. For large-volume sync — incremental exchange by change date, not a full export.
07
Maps, geolocation, and logistics
Maps aren't just 'show a pin'
Address geocoding, route building, delivery cost calculation, real-time courier tracking, delivery zones — each scenario requires the right API choice and handling of constraints: request quotas, geocoding accuracy, fallback when unavailable.
API costs that surprise
Google Maps charges for every geocoding and directions call. With a non-optimal implementation (request on every keystroke, no caching) the maps bill can be unexpectedly large in the first month.
How I handle this
I choose the provider for the task: Google Maps, Yandex Maps, DaData for geocoding, various delivery service APIs. I cache geocoding results — the same address isn't queried twice. For logistics — integration with CDEK, Boxberry, Russian Post, or the client's own delivery services via their API.
08
Public API for partners and clients
API without versioning is a time bomb
When partners and clients are already using your API, any change to the response structure breaks their integrations. Without versioning and a deprecation policy, every update turns into negotiations with a dozen teams about coordinating the deploy.
Public API security
Rate limiting, authentication, resource-level authorization, brute force protection, suspicious request logging — these aren't optional improvements for a public API. They're baseline requirements, without which the API becomes an attack vector on your system.
How I handle this
I design the API according to REST principles with explicit versioning (/v1/, /v2/). I implement authentication via API keys or OAuth 2.0 depending on requirements. I configure rate limiting at the token and IP level. I document via OpenAPI (Swagger) — interactive documentation is generated automatically.
03 — How we work
Four stages — from studying the API to stable production
Study the API and task
I read the docs, test the sandbox, identify limitations and quirks. I determine what data needs to flow in which direction and where complexity may arise.
Design the schema
I describe the integration architecture: adapters, data mapping, error handling, retry logic, and webhook handlers. Confirmed before implementation starts.
Implement and test
I develop the integration with tests on mocked responses. I verify all scenarios: success, partner errors, timeouts, retries. I test in sandbox before connecting to the live API.
Launch and observe
I deploy to production, configure logging of all calls and alerts on errors. I watch real traffic for the first few days — to catch what didn't reproduce in tests.
04 — Result
What you get after API integration setup
Not a fragile connector, but a
reliable integration in production
Services exchange data without manual copying. A partner outage doesn't break your system — it's handled gracefully. You see what's happening and know about errors before your users do.
Resilient to partner failures
Retry logic, timeouts, and circuit breaker — the system degrades gracefully, not catastrophically.
Full observability
Every call is logged. Alerts on errors — you're the first to know, not your clients.
Code that's easy to change
Adapters isolate external APIs — switching providers or versions doesn't affect the whole system.
How to get started
Describe the task — I'll assess it and propose an approach
Just tell me which service needs to be connected and what should happen as a result. I'll study the API docs, assess the complexity, and propose an integration architecture before development begins. Cost is fixed before we start.
I usually respond within an hour
first call is free
working together
online
<1 day
response time
1:1
direct, no middlemen
0 ₽
for the first call
Quick replies
within the day
Single developer
full context, always
05 — FAQ
Common questions about API integrations
How long does a typical integration take?
A simple integration — connecting one API with one-way data flow — usually takes 1–3 days. Complex two-way syncs, 1C integrations, or building a public API — from 1 to 3 weeks. I'll give a precise estimate after studying the docs and understanding the task.
What if the partner has no documentation or an awkward API?
Can multiple services be connected at the same time?
What happens if the partner API changes after launch?
06 — Other services
Related engagement formats
from the services catalog
see all →
see all →