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Connect Confluence to your preprocessing pipeline, and use the Unstructured CLI or Python to batch process all your spaces and pages and store structured outputs locally on your filesystem. The requirements are as follows. The following video provides related setup information for Confluence Cloud:

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Document permissions metadata

The source connector outputs any permissions information that it can find in the source location about the processed source documents and associates that information with each corresponding element that is generated. This permissions information is output into the permissions_data field, which is within the data_source field under the element’s metadata field. This information lists the users or groups, if any, that have permissions to read, update, or delete the element’s associated source document. The following example shows what the output looks like. Ellipses indicate content that has been omitted from this example for brevity. 
[
    {
        "...": "...",
        "metadata": {
            "...": "...",
            "data_source": {
                "...": "...",
                "permissions_data": [
                    {
                        "read": {
                            "users": [
                                "11111:11111111-1111-1111-1111-111111111111"
                            ],
                            "groups": [
                                "22222222-2222-2222-2222-22222222",
                                "33333333-3333-3333-3333-33333333"
                            ]
                        }
                    },
                    {
                        "update": {
                            "users": [
                                "44444:44444444-4444-4444-4444-44444444",
                                "55555:55555555-5555-5555-5555-55555555"
                            ],
                            "groups": [
                                "66666666-6666-6666-6666-66666666",
                            ]
                        }
                    },
                    {
                        "delete": {
                            "users": [
                                "77777:77777777-7777-7777-7777-77777777"
                            ],
                            "groups": [
                                "88888888-8888-8888-8888-88888888"
                            ]
                        }
                    }
                ],
                "...": "..."
            }
        }
    }
]
To look up information about a particular Confluence user, use the user’s ID (also known as their account ID) from the preceding output to call the GET /wiki/rest/api/user operation in the Confluence REST API. To look up information about a particular Confluence group, use the group’s ID from the preceding output to call the GET /wiki/rest/api/group/by-id operation in the Confluence REST API. The Confluence connector dependencies:
CLI, Python
pip install "unstructured-ingest[confluence]"
You might also need to install additional dependencies, depending on your needs. Learn more. The following environment variables:
  • CONFLUENCE_URL - The target Confluence site’s URL, represented by --url (CLI) or url (Python).
  • One of the following:
    • For API token authentication: CONFLUENCE_USERNAME and CONFLUENCE_API_TOKEN - The name or email address, and API token of the target Confluence user, represented by --username (CLI) or username (Python) and --api-token (CLI) or api-token (Python), respectively.
    • For personal access token (PAT) authentication: CONFLUENCE_PERSONAL_ACCESS_TOKEN - The PAT for the target Confluence user, represented by --token (CLI) or token (Python).
    • For password authentication: CONFLUENCE_USERNAME and CONFLUENCE_PASSWORD - The name or email address, and password of the target Confluence user, represented by --username (CLI) or username (Python) and --password (CLI) or password (Python), respectively.
Additional settings include:
  • --spaces (CLI) or spaces (Python): Optionally, the list of the names of the specific spaces to access, expressed as a comma-separated list of strings (CLI) or an array of strings (Python), with each string representing a space’s name. The default is no specific spaces, if not otherwise specified.
  • --max-num-of-spaces (CLI) or max_num_of_spaces (Python): Optionally, the maximum number of spaces to access, expressed as an integer. The default value is 500 if not otherwise specified.
  • --max-num-of-docs-from-each-space (CLI) or max_num_of_docs_from_each_space (Python): Optionally, the maximum number of documents to access from each space, expressed as an integer. The default value is 100 if not otherwise specified.
  • --cloud or --no-cloud (CLI) or cloud (Python): Optionally, whether to use Confluence Cloud (--cloud for CLI or cloud=True for Python). The default is --no-cloud (CLI) or cloud=False (Python) if not otherwise specified.
  • --extract-images (CLI) or extract_images (Python): Optionally, download images and replace the HTML content with Base64-encoded images. The default is --no-extract-images (CLI) or extract_images=False (Python) if not otherwise specified.
  • --extract-files (CLI) or extract_files (Python): Optionally, download any embedded files. The default is --no-extract-files (CLI) or extract_files=False (Python) if not otherwise specified.
  • --force-download (CLI) or force_download (Python): Optionally, re-download extracted files even if they already exist locally. The default is --no-force-download (CLI) or force_download=False (Python) if not otherwise specified.
  • --allow-list (CLI) or allow_list: Optionally, a command-separated list (CLI) or a an array of strings (Python) of allowed URLs to download. By default, the base URL that the original HTML came from is used, if not otherwise specified.
Now call the Unstructured CLI or Python. The destination connector can be any of the ones supported. This example uses the local destination connector. This example sends data to Unstructured for processing by default. To process data locally instead, see the instructions at the end of this page. 
#!/usr/bin/env bash

# For API token authentication:
unstructured-ingest \
  confluence \
    --api-token $CONFLUENCE_API_TOKEN \
    --url $CONFLUENCE_URL \
    --username $CONFLUENCE_USERNAME \
    --cloud \
    --spaces luke,paul \
    --max-num-of-spaces 500 \
    --max-num-of-docs-from-each-space 150 \
    --extract-images \
    --extract-files \
    --force-download \
    --output-dir $LOCAL_FILE_OUTPUT_DIR \
    --partition-by-api \
    --api-key $UNSTRUCTURED_API_KEY \
    --partition-endpoint $UNSTRUCTURED_API_URL \
    --chunking-strategy by_title \
    --embedding-provider huggingface

# For personal access token (PAT) authentication:
unstructured-ingest \
  confluence \
    --token $CONFLUENCE_PERSONAL_ACCESS_TOKEN \
    --url $CONFLUENCE_URL \
    --spaces luke,paul \
    --max-num-of-spaces 500 \
    --max-num-of-docs-from-each-space 150 \
    --extract-images \
    --extract-files \
    --force-download \
    --output-dir $LOCAL_FILE_OUTPUT_DIR \
    --partition-by-api \
    --api-key $UNSTRUCTURED_API_KEY \
    --partition-endpoint $UNSTRUCTURED_API_URL \
    --chunking-strategy by_title \
    --embedding-provider huggingface

# For password authentication:
unstructured-ingest \
  confluence \
    --password $CONFLUENCE_PASSWORD \
    --url $CONFLUENCE_URL \
    --username $CONFLUENCE_USERNAME \
    --no-cloud \
    --spaces luke,paul \
    --max-num-of-spaces 500 \
    --max-num-of-docs-from-each-space 150 \
    --extract-images \
    --extract-files \
    --force-download \
    --output-dir $LOCAL_FILE_OUTPUT_DIR \
    --partition-by-api \
    --api-key $UNSTRUCTURED_API_KEY \
    --partition-endpoint $UNSTRUCTURED_API_URL \
    --chunking-strategy by_title \
    --embedding-provider huggingface
For the Unstructured Ingest CLI and the Unstructured Ingest Python library, you can use the --partition-by-api option (CLI) or partition_by_api (Python) parameter to specify where files are processed:
  • To do local file processing, omit --partition-by-api (CLI) or partition_by_api (Python), or explicitly specify partition_by_api=False (Python). Local file processing does not use an Unstructured API key or API URL, so you can also omit the following, if they appear:
    • --api-key $UNSTRUCTURED_API_KEY (CLI) or api_key=os.getenv("UNSTRUCTURED_API_KEY") (Python)
    • --partition-endpoint $UNSTRUCTURED_API_URL (CLI) or partition_endpoint=os.getenv("UNSTRUCTURED_API_URL") (Python)
    • The environment variables UNSTRUCTURED_API_KEY and UNSTRUCTURED_API_URL
  • To send files to the Unstructured Partition Endpoint for processing, specify --partition-by-api (CLI) or partition_by_api=True (Python). Unstructured also requires an Unstructured API key and API URL, by adding the following:
    • --api-key $UNSTRUCTURED_API_KEY (CLI) or api_key=os.getenv("UNSTRUCTURED_API_KEY") (Python)
    • --partition-endpoint $UNSTRUCTURED_API_URL (CLI) or partition_endpoint=os.getenv("UNSTRUCTURED_API_URL") (Python)
    • The environment variables UNSTRUCTURED_API_KEY and UNSTRUCTURED_API_URL, representing your API key and API URL, respectively.
    You must specify the API URL only if you are not using the default API URL for Unstructured Ingest, for example, if you are using a self-hosted instance of the Unstructured API.The default API URL for Unstructured Ingest is https://api.unstructuredapp.io/general/v0/general, which is the API URL for the Unstructured Partition Endpoint. However, you should always use the URL that was provided to you when your Unstructured account was created. If you do not have this URL, contact Unstructured Sales at sales@unstructured.io.If you do not have an API key, get one now.If the Unstructured API is self-hosted, the process for generating Unstructured API keys, and the Unstructured API URL that you use, are different. For details, contact Unstructured Sales at sales@unstructured.io.