Export & Import
PRO
Export your collection data to CSV for backup or sharing, and import smart collections from .afoliocollection files.
CSV Export
- Go to File → Export Data (⌘E)
- Choose your export options:
- Include reference IDs — adds internal IDs for re-import matching
- Parts data — choose to include owned parts, missing parts, both, or none
- Click Export and choose a save location
What's Exported
The CSV includes one row per set instance (if you own two copies of a set, that's two rows). Columns include:
- Set number, name, year, theme, piece count
- Date added, favorite status, rating, notes
- Acquisition info (type, date, source, price paid, currency)
- Condition (overall, box, instructions, built status, stickers, completeness)
- Disposal info (if applicable)
- Parts checklist progress (if selected in export options)
Wishlist items and manually-added minifigures are also included with an entry_type column to distinguish them.
Parts Data Format
When parts data is included, it uses a compact format in the parts_owned column. Each part is encoded as partNum/colorID with quantities. For example: 3x3001/1 3002/5 means 3 of part 3001 in color 1, and 1 of part 3002 in color 5.
CSV Import
- Go to File → Import Data (⌘I)
- Select a CSV file previously exported from Afolio
- The import matches sets by reference ID (if available) or creates new entries
You can also drag and drop a .csv file onto the Afolio window to import it.
Smart Collection Export & Import
Smart collections use their own file format (.afoliocollection) which contains filter definitions, display settings, and icons — no personal inventory data.
Exporting
- Single collection — right-click a smart collection in the sidebar and choose Export
- All collections — use File → Export Smart Collections
A single file can contain multiple smart collections.
Importing
- Use File → Import Smart Collections
- Or drag and drop an
.afoliocollectionfile onto the Afolio window
Before importing, a confirmation prompt shows how many collections will be added. Collections that already exist (same filter conditions) are detected as duplicates and skipped.
Need help? Contact us at support@afolio.app
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