LMS Data Harvester
Students, access, and deals → private data layer
In short
Student and access data remains locked in the LMS, and manual exports quickly become outdated, lose dates, and create redundant copies of personal data.
Outcome
A sequential API export retrieves only necessary objects, awaits asynchronous task completion, adheres to limits, and writes the result to a secure normalized layer.
How the automation runs
Trigger
Operator requested authorized incremental export or reconciliation schedule arrived
Automation steps
- Creates one export task with a minimal time filter
- Polls state with backoff until ready or timeout
- Normalizes students, groups, access dates, and deals
- Masks sensitive fields in logs and reports
- Records control counters and the next run cursor
Human check
Export is initiated by the data owner with necessary permissions; field set, retention period, and access recipients are approved in advance, and reconciliation errors block consumer updates.
Outcome
A sequential API export retrieves only necessary objects, awaits asynchronous task completion, adheres to limits, and writes the result to a secure normalized layer.
Automation diagram
The overall logic is publicUsing it
When to use it
The organization owns data in LMS and needs a fresh private layer for access reconciliation, segmentation, or retention analytics.
How to verify
Control counters match the LMS interface, access dates are preserved, a repeated incremental run is idempotent, and secrets and PII are absent from logs.
Tools
Recipe details
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