BullhornHub Importer
AI-generatedSummary
Map input data columns to fields of a selected Bullhorn entity, optionally coercing types and filtering empty rows, producing two outputs of processed and skipped items.
Inputs
- Authentication — Choose between BullhornHub User Credentials or Enterprise Credentials for authentication.
- Bullhorn Entity (required) — Select the Bullhorn entity type to map columns against, e.g., ClientContact.
- Column Mappings (required) — Define mappings from source input columns to Bullhorn entity fields; at least one mapping is required.
- Options — Configure additional behaviors such as forcing metadata refresh, including unmapped columns in output, filtering out rows where all mapped fields are empty, setting a source tag, and enabling type coercion of values.
Output shape
two separate lists of JSON items
The first output contains mapped items with _source metadata and mapped fields plus optionally all original columns (_raw). The second output contains skipped items due to empty mapped data or errors, including _source with reason or error and optionally the original input data in _raw.
Examples
Example 1: Mapping spreadsheet data to Bullhorn contacts with automatic type coercion and skipping rows without mapped data.
Authentication set to 'enterprise', target entity 'ClientContact', specified mappings from source columns like 'First Name' to target fields, enabled type coercion (default), filtered empty rows, and included unmapped columns in the _raw output.