Bulk save

Most workflows in Pillar end with "take all the parcels I just found and do something with them." Bulk save is how you bridge from map to list, project, or export.

Three ways to bulk-save#

1. Save your entire filter#

If your filter is dialed in and you want every matching parcel, click Save → Save as list. Give the list a name and choose whether it's dynamic (updates automatically as parcel data changes) or static (a frozen snapshot of today's match set).

This is the most common bulk save — no selecting required.

2. Draw a polygon, then save#

Use the draw tool to constrain to a specific shape, then save. The list captures every parcel whose centroid falls inside the polygon, narrowed by any other active filters.

3. Manually select, then save#

Hold Shift and click each parcel you want to include, or use Select all visible to grab everything in the current viewport. Then click Save → Save selection.

Where bulk-saved parcels go#

Once saved, parcels flow into one of three destinations:

Destination	Use case
List	Long-lived, reusable group of parcels. Best for recurring workflows.
Project	A single deal or site — parcels here show up in the CRM pipeline.
CSV export	One-shot export for use outside Pillar.

You can always move parcels between destinations later.

Export formats#

Data export is included with Annual plans. When exporting to CSV, Pillar writes one row per parcel with all indexed attributes, plus the owner's mailing address if skip tracing has been run. Columns are stable — you can wire up a repeating pipeline against the CSV schema.

Geospatial formats are also available for customers on annual plans:

• GeoJSON
• Shapefile (.zip)
• KML (for Google Earth)

Parcel geometry in exports is the pc_point_wkt centroid, not the full polygon, for the same reason parcel search uses centroids.

Limits#

• Selection size — up to 10,000 parcels per saved list.
• Export size — CSV up to 100,000 rows; larger exports are emailed as a download link.
• Skip trace batch — up to 5,000 parcels at once. For larger batches, split the list.