Confluence

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.

• A Confluence Cloud account or Confluence Data Center installation.

• The site URL for your Confluence Cloud account or Confluence Data Center installation.

• A user in your Confluence Cloud account or Confluence Data Center installation.

• The user must have the correct permissions in your Conflunce Cloud account or Confluence Data Center installation to access the target spaces and pages.

• One of the following:

  • For Confluence Cloud or Confluence Data Center, the target user’s name or email address, and password. Change a Confluence Cloud user’s password. Change a Confluence Data Center user’s password.
  • For Confluence Cloud only, the target user’s name or email address, and API token. Create an API token.
  • For Confluence Data Center only, the target user’s personal access token (PAT). Create a PAT.

• Optionally, the names of the specific spaces in the Confluence instance to access.

The following video provides related setup information for Confluence Cloud:

The Confluence connector dependencies:

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_TOKEN - The name or email address,and API token of the target Confluence user, represented by --username (CLI) or username (Python) and --token (CLI) or token (Python), respectively.
  • For personal access token (PAT) authentication: CONFLUENCE_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.

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 API services for processing by default. To process data locally instead, see the instructions at the end of this page.

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 Unstructured API services for processing, specify --partition-by-api (CLI) or partition_by_api=True (Python).

  Unstructured API services 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.

  Get an API key and API URL.