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Canvas LMS Integration Guide
Canvas LMS integrates with enterprise systems through REST APIs, selected GraphQL and event capabilities, SIS imports, file APIs, and OAuth-secured workflows.
Canvas LMS integration options at a glance
Canvas LMS provides a broad REST API for transactional access to Accounts, Users, Courses, Enrollments, Assignments, Submissions, Files, Modules, and administrative operations. Canvas also documents GraphQL for selected use cases, Live Events and webhook-related APIs for deployment-dependent notifications, SIS Imports for asynchronous CSV-based bulk processing, and file upload and download APIs. Canvas Data supports analytical and warehouse-oriented extraction rather than direct transactional updates. Martini can authenticate with OAuth 2.0 or bearer tokens, orchestrate scheduled and event-driven workflows, paginate through REST responses, transform Canvas JSON, monitor asynchronous imports, and expose normalized APIs for downstream systems.
Common Canvas LMS integration patterns
Common Canvas LMS data objects used in integrations
Authentication and security considerations
OAuth 2.0 and bearer tokens
Canvas supports OAuth 2.0 through account-specific Developer Key configuration. Bearer access tokens are sent in the HTTP Authorization header. Personal access tokens may be available for supported controlled use cases.
Secure configuration
Store Canvas tokens, client credentials, redirect settings, base URLs, and account identifiers in Martini secrets or environment configuration rather than workflow mappings. Use separate configuration for development, test, and production Canvas instances.
Least privilege and privacy
- Use a dedicated service account with only the required permissions.
- Verify Developer Key scopes and account policies before deployment.
- Protect student education records and personally identifiable information.
- Do not log access tokens, full submission content, or unnecessary personal data.
Operational considerations for Canvas LMS integrations
Rate limits and pagination
Canvas REST collections may use HTTP Link headers for pagination, and Canvas applies API rate limiting. Workflows should follow next links, limit concurrency, back off after HTTP 429 responses, and prefer filtered or incremental reads.
Idempotency and reconciliation
Maintain source-to-Canvas identifier maps, use SIS IDs or other stable identifiers where supported, and design retries so repeated requests do not create duplicate Courses, Enrollments, Assignments, or Users. Combine event processing with scheduled reconciliation because Canvas does not provide one universal change feed.
Asynchronous imports
SIS Imports return an import or job identifier and require status monitoring. Martini should poll with a timeout, capture row-level errors, and publish rejected records without treating a submitted import as completed.
Change management and testing
Canvas behavior and object availability can vary by release, feature flag, account configuration, and product tier. Test required fields and event types against the target deployment, tolerate nonessential unknown fields where appropriate, and monitor API or product changes.
Observability
Record workflow correlation IDs, Canvas account context, request outcomes, import identifiers, checkpoints, retry counts, and sanitized error details. Keep sensitive payloads out of operational logs.
Why use Martini instead of scripts or point-to-point integrations?
Centralized orchestration
Martini coordinates Canvas API calls, SIS imports, file operations, event handling, downstream writes, and reconciliation in workflows rather than scattering logic across scripts.
Reusable transformation and policy logic
Mappings, validation, identifier matching, role rules, grading rules, and account routing can be reused across integrations and maintained separately from transport details.
Reliable operations
Martini provides structured workflow execution, error handling, retries, checkpoints, monitoring, and controlled exception paths for rate limits, asynchronous imports, validation failures, and target-system errors.
Controlled APIs
Martini can expose a normalized API façade for downstream applications, centralizing authentication, authorization, validation, and Canvas-specific behavior instead of requiring every consumer to understand Canvas endpoints.