



LinkedIn API manages profiles, posts, messaging, and company pages programmatically, supporting automation, analytics, recruiting workflows, and professional engagement.
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The initial sync occurs when you first connect a system and retrieves historical data to establish a baseline. This includes records from a configurable time period (typically 30-90 days) and can take several minutes to hours depending on data volume. Initial syncs are complete snapshots of the requested data. Incremental syncs occur on subsequent runs and retrieve only records created or modified since the last successful sync. Makini tracks sync timestamps and uses them to query for changes efficiently. Incremental syncs are much faster, usually completing in seconds to minutes. This approach minimizes API load on source systems while keeping your data current.
Makini provides a `/sync-status` API endpoint that returns the current synchronization state for a connection. The response includes the last successful sync timestamp, sync status (in progress, completed, failed), any error messages, and the next scheduled sync time. You can query this endpoint to monitor sync health and detect issues. For workflow-based syncs using Makini Flows, each workflow execution is logged with detailed status information including start time, completion time, success/failure status, and any errors encountered. The Makini dashboard also provides visual sync status monitoring across all connections.
Connection-specific errors often relate to system configuration, permissions, or connectivity issues. Common scenarios include: the system is offline or unreachable, credentials have expired, API rate limits on the source system, or permission changes in the source system. Use the connection status endpoint to check connection health before making API calls. Implement circuit breaker patterns—if a connection repeatedly fails, temporarily stop making requests to avoid cascading failures. Log connection-specific errors separately to identify problematic connections. When errors occur, check if the issue affects all operations or specific entity types, which helps narrow down permission or configuration issues. For on-premises systems, verify network connectivity and firewall rules. Contact support if connection errors persist, providing the connection ID and affected operations.
Yes, Makini supports write operations including creating, updating, and in some cases deleting records in connected systems. Common write operations include creating purchase orders, updating work order status, modifying inventory levels, and creating vendor records. Write support varies by system and entity type—core entities like purchase orders have comprehensive write support across major systems, while more specialized entities may have limited write support in some systems. Write operations use the same unified API, so the code to create a purchase order in SAP is identical to creating one in NetSuite. Validate write requirements during implementation to ensure your target systems support needed operations.
