Summary
Enable users to export their collection, wantlist, and gap analysis results in portable formats (CSV, JSON, PDF) for offline use, sharing, and backup. Optionally support importing collections from other platforms.
Motivation
Currently all user data lives inside the platform with no way to extract it. Data portability is both a user trust feature and a practical need — users may want to:
- Share gap analysis results with friends or record stores
- Back up their collection data
- Migrate from other platforms (MusicBrainz, Rate Your Music, Discogs CSV exports)
- Use collection data in spreadsheets or other tools
Proposed Endpoints
GET /api/export/collection?format=csv|json
GET /api/export/wantlist?format=csv|json
GET /api/export/gaps/{type}/{id}?format=csv|json
POST /api/import/collection (multipart file upload)
Export Formats
| Format |
Use Case |
| CSV |
Spreadsheets, record store shopping lists |
| JSON |
Developer integrations, backup/restore |
| PDF |
Printable gap analysis reports (stretch goal) |
Implementation Notes
- Leverage existing
/api/user/collection, /api/user/wantlist, and /api/collection/gaps/* query infrastructure
- Stream large exports to avoid memory pressure
- Rate limit exports (e.g., 5/hour) to prevent abuse
- For imports: parse Discogs CSV export format, match release IDs, create
COLLECTED relationships
Complements
Acceptance Criteria
Summary
Enable users to export their collection, wantlist, and gap analysis results in portable formats (CSV, JSON, PDF) for offline use, sharing, and backup. Optionally support importing collections from other platforms.
Motivation
Currently all user data lives inside the platform with no way to extract it. Data portability is both a user trust feature and a practical need — users may want to:
Proposed Endpoints
Export Formats
Implementation Notes
/api/user/collection,/api/user/wantlist, and/api/collection/gaps/*query infrastructureCOLLECTEDrelationshipsComplements
Acceptance Criteria