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Automating Vendor Data Collection

Scheduled vendor data retrieval and delivery to SharePoint, with recovery tools for historical data and interrupted runs.

PowerShellAPI IntegrationSharePoint

The business problem

Reporting depended on volume data from a vendor API. The provider released data on a monthly schedule, limited request rates, and restricted access by source IP address. A dependable integration had to account for all three constraints.

Historical retrieval also needed a recovery path: a long backfill could be interrupted before it finished, making a full restart wasteful.

Choosing the right execution environment

Built a scheduled PowerShell pipeline on a server with an allowed network address. That choice followed the provider’s access restriction: a cloud workflow with changing outbound addresses could not meet the same requirement reliably.

The pipeline retrieved vendor data and uploaded it through Microsoft Graph to SharePoint, where it fed downstream reporting. Its schedule followed the provider’s release calendar, and requested date ranges were limited to data actually available.

Making unattended operation dependable

Added resumable historical backfills, run logging, and deployment tooling. Installation checks exercised the credentials and destination access rather than treating the presence of a configuration file as proof that the integration would work.

Verification included authentication, access to the target library, and a write-and-delete test. That distinguished the ability to read a destination from the ability to deliver data into it. End-to-end verification used an actual retrieval and confirmation that the resulting files reached SharePoint.

Code, retrieved data, and logs were separated, with documented installation and update procedures to help another operator maintain the job.

The result

Vendor data collection became a scheduled production process shaped around the provider’s real constraints. Historical runs could resume after interruption, and operators had concrete checks to identify access or deployment problems.

The result joined software and infrastructure: API integration, a suitable execution environment, and operational tooling that kept the automation supportable after its first successful run.

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