Confluence

Connect Confluence to your preprocessing pipeline, and batch process all your documents using unstructured-ingest to store structured outputs locally on your filesystem.

Make sure to have the Confluence dependencies installed:

pip install "unstructured-ingest[confluence]"

To connect to Confluence Cloud, provide the url to the Confluence Cloud instance, and your credentials:

• user_email
• api_token to authenticate into Confluence Cloud

For more details on authentication, refer to Confluence documentation.

Optional arguments:

• max-num-of-spaces: The maximum number of spaces to be ingested. E.g. pass --max-num-of-spaces 10 to set this to 10.
• spaces: A comma separated list of space ids for the spaces to be ingested. Example: --spaces testteamsp1,testteamsp2. Cannot be used together with max-num-of-spaces.
• max-num-of-docs-from-each-space: The maximum number of documents to be ingested from each space. Example: --max-num-of-docs-from-each-space 250.

Make sure to set the --partition-by-api flag and pass in your API key with --api-key:

Additionally, if you’re using Unstructured Serverless API, your locally deployed Unstructured API, or an Unstructured API deployed on Azure or AWS, you also need to specify the API URL via the --partition-endpoint argument.