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GET
An import that reports failures says how many, not who. This endpoint names them: one item per LinkedIn URL the import was given, with a plain-English reason, a stable reasonCode you can branch on, and the raw errorMessage the import recorded. When Clustr holds the person’s profile, the item also carries name, headline, jobTitle, companyName and avatarUrl. A failed item usually has none, since the profile is often what could not be fetched; use linkedinUrl to identify it. By default it lists the items that failed. That includes the ones a finished import left unprocessed, which a running import would still get to. Prospects discovered through your contacts are left out unless you ask for them with itemType.
Also available to AI assistants as the list_failed_import_items tool on the MCP server. In the app, open an import’s Details in Import history.

Reasons

New codes may be added; treat an unfamiliar one like unknown. retryable is true for the contacts that retrying the import’s unfinished items would re-process: a contact that did not complete, of an import that is no longer running, with a valid URL. A profile that was not found will most likely fail again.

Authorizations

Authorization
string
header
required

The API key you created on the API settings page of the Clustr app.

Path Parameters

id
string
required

The job's Clustr ID (job_…), from List Jobs or the import that started it. The id from earlier responses also works.

Query Parameters

status
enum<string>
default:failed

failed (the default) lists the items that failed, completed the ones imported, and all every item.

Available options:
failed,
completed,
all
itemType
string

contact (a URL you sent), employee (a person an account-research run searched) or prospect (a person discovered through a contact). Send a comma-separated list for several.

limit
integer
default:100

Items per page, up to 500.

Required range: x <= 500
offset
integer
default:0

The number of items to skip, to read the next page.

Response

One page of items

success
boolean
required
data
object
required