In enterprise cloud storage environments, especially for large datasets stored on OneDrive, management and analysis through standard interfaces were not sufficiently detailed. There was a need for deeper analysis of file structures, metadata, and content relationships.
To address this need, OneDrive Explorer was developed as a tool that makes OneDrive data more transparent, analyzable, and auditable.
Technically, the project:
- Is developed using Python
- Accesses OneDrive data via the Microsoft Graph API
- Processes data and generates outputs in JSON format
- Is optimized to handle large-scale datasets
The tool provides the following capabilities:
- Detailed extraction of OneDrive file and folder structures
- Metadata analysis (file size, creation date, ownership, etc.)
- Exporting and reporting of data structures
Key problems solved by this project:
- Provides visibility into data that is not accessible through standard UI
- Enables data extraction for digital forensics and audit processes
- Significantly reduces analysis time for large-scale OneDrive structures
Additionally, the project:
- Can be integrated into various analysis pipelines thanks to its script-based nature
- Allows easy extension for new analysis scenarios due to its modular structure
Resources:
Updated DateMay 5, 2026
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