Get Job Result

extraction.jobs.get_result(, ) -> JobGetResultResponse

GET/api/v1/extraction/jobs/{job_id}/result

Get Job Result

ParametersExpand Collapse

job_id: str

organization_id: Optional[str]

project_id: Optional[str]

ReturnsExpand Collapse

class JobGetResultResponse: …

Schema for an extraction resultset.

data: Union[Dict[str, Union[Dict[str, object], List[object], str, 3 more]], List[Dict[str, Union[Dict[str, object], List[object], str, 3 more]]], null]

The data extracted from the file

Accepts one of the following:

Dict[str, Union[Dict[str, object], List[object], str, 3 more]]

Accepts one of the following:

Dict[str, object]

List[object]

str

float

bool

List[Dict[str, Union[Dict[str, object], List[object], str, 3 more]]]

Accepts one of the following:

Dict[str, object]

List[object]

str

float

bool

extraction_agent_id: str

The id of the extraction agent

formatuuid

extraction_metadata: Dict[str, Union[Dict[str, object], List[object], str, 3 more]]

The metadata extracted from the file

Accepts one of the following:

Dict[str, object]

List[object]

str

float

bool

run_id: str

The id of the extraction run

formatuuid

Get Job Result

import os
from llama_cloud import LlamaCloud

client = LlamaCloud(
    api_key=os.environ.get("LLAMA_CLOUD_API_KEY"),  # This is the default and can be omitted
)
response = client.extraction.jobs.get_result(
    job_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.extraction_agent_id)

{
  "data": {
    "foo": {
      "foo": "bar"
    }
  },
  "extraction_agent_id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
  "extraction_metadata": {
    "foo": {
      "foo": "bar"
    }
  },
  "run_id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"
}

Returns Examples

{
  "data": {
    "foo": {
      "foo": "bar"
    }
  },
  "extraction_agent_id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
  "extraction_metadata": {
    "foo": {
      "foo": "bar"
    }
  },
  "run_id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"
}