List Customers

paddle.list_customers
ActionBusiness appsconnection required

Calls the Paddle API with the connection's credentials.

List or search customers by name, email or Paddle id.

Connection

Required
Yes — the node will not save without one
Auth type
API key
Providers
Paddle
Secret shape
the Paddle API key (pdl_…), or {"api_key": "…"}
Config it needs
environment, base_url
Resolved by
config.connection_id, else node.connection_id

Configuration

7 fields, none required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

FieldTypeRequiredDefaultConstraintsExample
search
Free-text search across customer id, name and email.
stringNo—≤ 100 characters—
email
Comma-separated email addresses to match exactly.
stringNo———
status
Only customers in this state; Paddle returns active by default.
stringNo—one of "active", "archived"—
per_page
How many records to return in one page (Paddle's maximum is 200).
numberNo—1–20050
after
Paddle id to continue after — pass the previous run's next_after.
stringNo———
order_by
Sort clause such as id[ASC] or created_at[DESC].
stringNo———
ids
Comma-separated Paddle ids to return only those records.
stringNo———

Example configuration

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

{
  "per_page": 50
}

Output

One shape.

result

FieldTypeExample
items
The records on this page, exactly as Paddle returned them.
array—
count
How many records are on this page.
number—
next_after
Cursor to pass as 'after' for the next page; empty at the end.
string—
next_url
Paddle's own URI for the next page, or empty at the end.
string—
has_more
True when Paddle has further pages to give.
boolean—
estimated_total
Paddle's estimate of the total matching records.
number—
request_id
Paddle's request id, quoted when contacting their support.
string—
{
  "count": 0,
  "estimated_total": 0,
  "has_more": false,
  "items": [],
  "next_after": "",
  "next_url": "",
  "request_id": ""
}

See List Customers run in a workflow.

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