.png)
Paylocity Integration Guide
Integrate Paylocity’s HR, payroll, workforce, and employee data with enterprise systems through OAuth 2.0-secured REST APIs, selective webhooks, and scheduled workflows.
Paylocity integration options at a glance
Paylocity’s primary integration mechanism is its OAuth 2.0-secured REST API, which supports access to HR, payroll, workforce, and related data according to the customer’s subscribed products and permissions. Paylocity also provides webhook-style notifications for selected events or resources, although coverage must be confirmed for each API product. Where event coverage is unavailable, Martini can run scheduled workflows that poll paginated endpoints and maintain durable synchronization checkpoints. Some payroll and workforce operations may support batch processing, but semantics are product-specific. Martini can securely manage credentials, consume Paylocity APIs, receive supported notifications, transform data, and expose normalized APIs to downstream applications.
Common Paylocity integration patterns
Common Paylocity data objects used in integrations
Authentication and security considerations
OAuth 2.0 and environment separation
Paylocity uses OAuth 2.0-based authentication with application credentials and bearer access tokens. Martini can keep client credentials, environment-specific values, and company context in secure configuration rather than workflow logic.
Least-privilege access
Permissions and enabled API products depend on the Paylocity application, customer authorization, and subscribed services. Grant only the resources required by the integration and keep sandbox and production credentials separate.
Protect sensitive HR and payroll data
- Use HTTPS for all API communication.
- Restrict workflow, configuration, and log access.
- Redact tokens, payroll values, tax data, bank details, and personal information from logs.
- Define retention and deletion policies for employee and payroll data.
Operational considerations for Paylocity integrations
Throttling and pagination
Confirm request limits for the relevant Paylocity product. Process paginated responses with controlled concurrency and retry transient 429 and 5xx responses using bounded exponential backoff.
Checkpoints and idempotency
Store durable synchronization checkpoints and use stable Paylocity identifiers as external keys. Treat webhook deliveries as potentially duplicated and make target create-or-update operations safe to repeat.
Product and schema variation
Fields and resources vary by subscribed products, customer configuration, and permissions. Handle optional fields and enumerations defensively, version mappings, and test effective dates, approval states, payroll periods, corrections, and reopened periods.
Webhook reliability
Validate available webhook authentication or signatures, acknowledge notifications promptly, persist event or source identifiers, and retrieve the current resource when the notification is incomplete. Provide replay and dead-letter handling for failed processing.
Testing and monitoring
Test token acquisition, permissions, pagination, rate limits, lifecycle states, duplicate events, schema variations, sensitive-data logging, and reconciliation against Paylocity reports before production deployment. Monitor workflow outcomes and rejected records.
Why use Martini instead of scripts or point-to-point integrations?
Coordinate more than API calls
Scripts can call Paylocity endpoints, but enterprise integrations also need pagination, checkpoints, transformations, lifecycle rules, retries, security controls, and target-system coordination. Martini provides a workflow model for these concerns.
Keep integrations maintainable
Martini separates API consumption, mapping, validation, business rules, and target writes into reusable integration assets. This makes changes to Paylocity product coverage or downstream schemas easier to test and deploy.
Support multiple integration modes
A single Martini implementation can combine Paylocity REST calls, selected webhook notifications, scheduled polling, controlled batching, and APIs exposed to downstream consumers without creating separate point-to-point scripts for every target.
Improve operational control
Secure configuration, structured error handling, checkpointing, monitoring, and idempotent processing provide a stronger operational foundation for sensitive employee, payroll, and time data than isolated scripts.