> ## Documentation Index
> Fetch the complete documentation index at: https://docs.unstructured.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Get element contents

<Note>
  The following information applies to the legacy Unstructured Partition Endpoint.

  Unstructured recommends that you use the
  [on-demand jobs](/api-reference/workflow/overview#run-an-on-demand-job) functionality in the
  [Unstructured API](/api-reference/overview) instead. Unstructured's on-demand jobs provide
  many benefits over the legacy Unstructured Partition Endpoint, including support for:

  * Production-level usage.
  * Multiple local input files in batches.
  * The latest and highest-performing models.
  * Post-transform enrichments.
  * All of Unstructured's chunking strategies.
  * The generation of vector embeddings.

  The Unstructured API also provides support for processing files and data in remote locations.
</Note>

## Task

You want to get, manipulate, and print or save, the contents of the [document elements and metadata](/api-reference/legacy-api/partition/document-elements) from the processed data that Unstructured returns.

## Approach

Each element in the document elements contains fields for that element's type, its ID, the extracted text, and associated metadata.

The programmatic approach you take to get these document elements will depend on which SDK you use:

<AccordionGroup>
  <Accordion title="Python SDK">
    For the [Unstructured Python SDK](/api-reference/legacy-api/partition/sdk-python), calling an `UnstructuredClient` object's `general.partition_async` method returns a `PartitionResponse` object.

    This `PartitionResponse` object's `elements` variable contains a list of key-value dictionaries (`List[Dict[str, Any]]`). For example:

    ```python Python theme={null}
    # ...

    res = await client.general.partition_async(request=req)

    # Do something with the elements, for example:
    save_elements_to_file(res.elements)

    # ...
    ```

    You can use standard Python [list operations](https://docs.python.org/3/tutorial/datastructures.html#more-on-lists) on this list.

    You can also use standard Python [looping techniques](https://docs.python.org/3/tutorial/datastructures.html#looping-techniques) on this list to access each element in this list.

    To work with an individual element's contents, you can use standard [dictionary operations](https://docs.python.org/3/library/stdtypes.html#dict) on the element.

    For example:

    ```python Python theme={null}
    # ...

    res = await client.general.partition_async(request=req)

    for element in res.elements:
        # Do something with each element, for example:
        save_element_to_database(f"{element["element_id"]}")
        save_element_to_database(f"{element["text"]}")
        save_element_to_database(f"{element["metadata"]["filename"]}\n")

    # ...
    ```

    To serialize this list as JSON, you can:

    1. Use the `elements_from_dicts` function to convert the list of key-value dictionaries (`Iterable[Dict[str, Any]]`) into a list of elements (`Iterable[Element]`).
    2. Use the `elements_to_json` function to convert the list of elements into a JSON-formatted string and then print or save that string.

    For example:

    ```python Python theme={null}
    from unstructured.staging.base import elements_from_dicts, elements_to_json

    # ...

    res = await client.general.partition_async(request=req)

    dict_elements = elements_from_dicts(
        element_dicts=res.elements
    )

    elements_to_json(
        elements=dict_elements,
        indent=2,
        filename=output_filepath
    )
    # ...
    ```
  </Accordion>

  <Accordion title="JavaScript/TypeScript SDK">
    For the [Unstructured JavaScript/TypeScript SDK](/api-reference/legacy-api/partition/sdk-jsts), calling an `UnstructuredClient` object's `general.partition` method returns a `Promise<PartitionResponse>` object.

    This `PartitionResponse` object's `elements` property contains an `Array` of string-value objects (`{ [k: string]: any; }[]`). For example:

    ```typescript TypeScript theme={null}
    // ...

    client.general.partition({
        partitionParameters: {
            files: {
                content: data,
                fileName: inputFilepath
            },
            strategy: Strategy.HiRes,
            splitPdfPage: true,
            splitPdfAllowFailed: true,
            splitPdfConcurrencyLevel: 15
        }
    }).then((res) => {
        if (res.statusCode == 200) {
            // Do something with the elements, for example:
            saveElementsToFile(res)
        }
    } // ...
    ```

    You can use standard [Array operations](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array) on this array.

    You can also use standard `Array` techniques such as [forEach](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/forEach) to access each object in this array. For example:

    ```typescript TypeScript theme={null}
    // ...

    client.general.partition({
        partitionParameters: {
            files: {
                content: data,
                fileName: inputFilepath
            },
            strategy: Strategy.HiRes,
            splitPdfPage: true,
            splitPdfAllowFailed: true,
            splitPdfConcurrencyLevel: 15
        }
    }).then((res) => {
        if (res.statusCode == 200) {
            res.forEach(element => {
                // Do something with each element, for example:
                saveElementToDatabase(`${element["element_id"]}`)
                saveElementToDatabase(`${element["text"]}`)
                saveElementToDatabase(`${element["metadata"]["filename"]}`)
            }
        }
    } // ...
    ```

    To serialize this list as JSON, you can use the standard [JSON.stringify](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/JSON/stringify) function to serialize it to JSON-formatted string and the Node.js [fs.WriteFileSync](https://nodejs.org/api/fs.html#fswritefilesyncfile-data-options) function to save it as a file. For example:

    ```typescript TypeScript theme={null}
    // ...

    client.general.partition({
        partitionParameters: {
            files: {
                content: data,
                fileName: inputFilepath
            },
            strategy: Strategy.HiRes,
            splitPdfPage: true,
            splitPdfAllowFailed: true,
            splitPdfConcurrencyLevel: 15
        }
    }).then((res) => {
        if (res.statusCode == 200) {    
            const jsonElements = JSON.stringify(res, null, 2)

            fs.writeFileSync(outputFilepath, jsonElements)
        }
    } // ...
    ```
  </Accordion>
</AccordionGroup>