Get Extract Job

client.extract.get(, ?, ?): ExtractV2Job { id, created_at, document_input_value, 9 more }

GET/api/v2/extract/{job_id}

Get a single extraction job by ID.

Returns the job status and results when complete. Use expand=configuration to include the full configuration used, and expand=extract_metadata for per-field metadata.

ParametersExpand Collapse

jobID: string

query: ExtractGetParams { expand, organization_id, project_id }

expand?: Array<string>

Additional fields to include: configuration, extract_metadata

organization_id?: string | null

project_id?: string | null

ReturnsExpand Collapse

ExtractV2Job { id, created_at, document_input_value, 9 more }

An extraction job.

id: string

Unique job identifier (job_id)

created_at: string

Creation timestamp

formatdate-time

document_input_value: string

File ID or parse job ID that was extracted

project_id: string

Project this job belongs to

status: string

Current job status.

PENDING — queued, not yet started
RUNNING — actively processing
COMPLETED — finished successfully
FAILED — terminated with an error
CANCELLED — cancelled by user

updated_at: string

Last update timestamp

formatdate-time

configuration?: ExtractConfiguration { data_schema, cite_sources, confidence_scores, 9 more } | null

Extract configuration combining parse and extract settings.

data_schema: Record<string, Record<string, unknown> | Array<unknown> | string | 2 more | null>

JSON Schema defining the fields to extract. Validate with the /schema/validate endpoint first.

Accepts one of the following:

Record<string, unknown>

Array<unknown>

string

number

boolean

cite_sources?: boolean

Include citations in results

confidence_scores?: boolean

Include confidence scores in results

extract_version?: string

Extract algorithm version. Use 'latest' or a date string.

extraction_target?: "per_doc" | "per_page" | "per_table_row"

Granularity of extraction: per_doc returns one object per document, per_page returns one object per page, per_table_row returns one object per table row

Accepts one of the following:

"per_doc"

"per_page"

"per_table_row"

lang?: string

ISO 639-1 language code for the document

max_pages?: number | null

Maximum number of pages to process. Omit for no limit.

minimum1

parse_config_id?: string | null

Saved parse configuration ID to control how the document is parsed before extraction

parse_tier?: string | null

Parse tier to use before extraction (fast, cost_effective, or agentic)

system_prompt?: string | null

Custom system prompt to guide extraction behavior

target_pages?: string | null

Comma-separated page numbers or ranges to process (1-based). Omit to process all pages.

tier?: "cost_effective" | "agentic"

Extract tier: cost_effective (5 credits/page) or agentic (15 credits/page)

Accepts one of the following:

"cost_effective"

"agentic"

configuration_id?: string | null

Saved extract configuration ID used for this job, if any

error_message?: string | null

Error details when status is FAILED

extract_metadata?: ExtractJobMetadata { field_metadata, parse_job_id, parse_tier } | null

Extraction metadata.

field_metadata?: ExtractedFieldMetadata { document_metadata, page_metadata, row_metadata } | null

Metadata for extracted fields including document, page, and row level info.

Document-level metadata (citations, confidence) keyed by field name

Accepts one of the following:

Record<string, unknown>

Array<unknown>

string

number

boolean

Per-page metadata when extraction_target is per_page

Accepts one of the following:

Record<string, unknown>

Array<unknown>

string

number

boolean

Per-row metadata when extraction_target is per_table_row

Accepts one of the following:

Record<string, unknown>

Array<unknown>

string

number

boolean

parse_job_id?: string | null

Reference to the ParseJob ID used for parsing

parse_tier?: string | null

Parse tier used for parsing the document

Extracted data conforming to the data_schema. Returns a single object for per_doc, or an array for per_page / per_table_row.

Accepts one of the following:

Record<string, Record<string, unknown> | Array<unknown> | string | 2 more | null>

Record<string, unknown>

Array<unknown>

string

number

boolean

Array<Record<string, Record<string, unknown> | Array<unknown> | string | 2 more | null>>

Record<string, unknown>

Array<unknown>

string

number

boolean

metadata?: Metadata | null

Job-level metadata.

usage?: ExtractJobUsage { num_document_tokens, num_output_tokens, num_pages_extracted } | null

Extraction usage metrics.

num_document_tokens?: number | null

Number of document tokens

num_output_tokens?: number | null

Number of output tokens

num_pages_extracted?: number | null

Number of pages extracted

Get Extract Job

import LlamaCloud from '@llamaindex/llama-cloud';

const client = new LlamaCloud({
  apiKey: process.env['LLAMA_CLOUD_API_KEY'], // This is the default and can be omitted
});

const extractV2Job = await client.extract.get('job_id');

console.log(extractV2Job.id);

{
  "id": "ext-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "created_at": "2019-12-27T18:11:19.117Z",
  "document_input_value": "dfl-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "project_id": "prj-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "status": "COMPLETED",
  "updated_at": "2019-12-27T18:11:19.117Z",
  "configuration": {
    "data_schema": {
      "foo": {
        "foo": "bar"
      }
    },
    "cite_sources": true,
    "confidence_scores": true,
    "extract_version": "latest",
    "extraction_target": "per_doc",
    "lang": "en",
    "max_pages": 10,
    "parse_config_id": "cfg-11111111-2222-3333-4444-555555555555",
    "parse_tier": "fast",
    "system_prompt": "Extract all monetary values in USD. If a currency is not specified, assume USD.",
    "target_pages": "1,3,5-7",
    "tier": "cost_effective"
  },
  "configuration_id": "cfg-11111111-2222-3333-4444-555555555555",
  "error_message": "error_message",
  "extract_metadata": {
    "field_metadata": {
      "document_metadata": {
        "foo": {
          "foo": "bar"
        }
      },
      "page_metadata": [
        {
          "foo": {
            "foo": "bar"
          }
        }
      ],
      "row_metadata": [
        {
          "foo": {
            "foo": "bar"
          }
        }
      ]
    },
    "parse_job_id": "parse_job_id",
    "parse_tier": "parse_tier"
  },
  "extract_result": {
    "foo": {
      "foo": "bar"
    }
  },
  "metadata": {
    "usage": {
      "num_document_tokens": 0,
      "num_output_tokens": 0,
      "num_pages_extracted": 0
    }
  }
}

Returns Examples

{
  "id": "ext-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "created_at": "2019-12-27T18:11:19.117Z",
  "document_input_value": "dfl-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "project_id": "prj-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "status": "COMPLETED",
  "updated_at": "2019-12-27T18:11:19.117Z",
  "configuration": {
    "data_schema": {
      "foo": {
        "foo": "bar"
      }
    },
    "cite_sources": true,
    "confidence_scores": true,
    "extract_version": "latest",
    "extraction_target": "per_doc",
    "lang": "en",
    "max_pages": 10,
    "parse_config_id": "cfg-11111111-2222-3333-4444-555555555555",
    "parse_tier": "fast",
    "system_prompt": "Extract all monetary values in USD. If a currency is not specified, assume USD.",
    "target_pages": "1,3,5-7",
    "tier": "cost_effective"
  },
  "configuration_id": "cfg-11111111-2222-3333-4444-555555555555",
  "error_message": "error_message",
  "extract_metadata": {
    "field_metadata": {
      "document_metadata": {
        "foo": {
          "foo": "bar"
        }
      },
      "page_metadata": [
        {
          "foo": {
            "foo": "bar"
          }
        }
      ],
      "row_metadata": [
        {
          "foo": {
            "foo": "bar"
          }
        }
      ]
    },
    "parse_job_id": "parse_job_id",
    "parse_tier": "parse_tier"
  },
  "extract_result": {
    "foo": {
      "foo": "bar"
    }
  },
  "metadata": {
    "usage": {
      "num_document_tokens": 0,
      "num_output_tokens": 0,
      "num_pages_extracted": 0
    }
  }
}