Search Persons

pipedrive.search_persons
ActionCRM & salesconnection required

Calls the Pipedrive API with the connection's credentials.

Full-text search over people with GET /api/v2/persons/search — the way to find someone by email address. Each match is {result_score, item}.

Connection

Required
Yes — the node will not save without one
Auth type
API key
Providers
Pipedrive
Secret shape
the Pipedrive API token, or {"api_token": "…"}
Config it needs
company_domain
Resolved by
config.connection_id, else node.connection_id

Configuration

6 fields, 1 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

FieldTypeRequiredDefaultConstraintsExample
term
What to search for. Pipedrive needs at least two characters, or one with exact_match on.
stringYes—≥ 1 characters—
fields
Comma-separated fields to search in: name, email, phone, notes or custom_fields. Defaults to all of them.
stringNo———
exact_match
Only return records whose field matches the term exactly.
booleanNo———
organization_id
Only people in this organization.
stringNo———
limit
How many records to return in this page. Pipedrive caps a page at 500.
numberNo1001–500—
cursor
Paging marker from the previous call's `next_cursor` output. Leave empty for the first page.
stringNo———

Example configuration

Every value below is the contract’s own example or default — nothing invented.

{
  "limit": 100
}

Output

One shape.

result

FieldTypeExample
items
The matches on this page.
array—
items[].result_score
Pipedrive's relevance score for this match.
number—
items[].item
The matched record itself.
object—
count
How many matches this page carried.
number—
next_cursor
Feed back as the next call's `cursor`; null on the last page.
string—
more_items
True when another page of matches exists.
boolean—
{
  "count": 0,
  "items": [
    {
      "item": {},
      "result_score": 0
    }
  ],
  "more_items": false,
  "next_cursor": ""
}

See Search Persons run in a workflow.

In a technical demo we add the Pipedrive connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.