Sharepoint ========== Connect Sharepoint to your preprocessing pipeline, and batch process all your documents using ``unstructured-ingest`` to store structured outputs locally on your filesystem. First you'll need to install the Sharepoint dependencies as shown here. .. code:: shell pip install "unstructured[sharepoint]" Run Locally ----------- .. tabs:: .. tab:: Shell .. code:: shell unstructured-ingest \ sharepoint \ --client-id "" \ --client-cred "" \ --site "" \ --files-only "Flag to process only files within the site(s)" \ --output-dir sharepoint-ingest-output \ --num-processes 2 \ --verbose .. tab:: Python .. code:: python import subprocess command = [ "unstructured-ingest", "sharepoint", "--client-id", "", "--client-cred", "", "--site", "", "--files-only", "Flag to process only files within the site(s)", "--output-dir", "sharepoint-ingest-output", "--num-processes", "2", "--verbose", ] # Run the command process = subprocess.Popen(command, stdout=subprocess.PIPE) output, error = process.communicate() # Print output if process.returncode == 0: print('Command executed successfully. Output:') print(output.decode()) else: print('Command failed. Error:') print(error.decode()) Run via the API --------------- You can also use upstream connectors with the ``unstructured`` API. For this you'll need to use the ``--partition-by-api`` flag and pass in your API key with ``--api-key``. .. tabs:: .. tab:: Shell .. code:: shell unstructured-ingest \ sharepoint \ --client-id "" \ --client-cred "" \ --site "" \ --files-only "Flag to process only files within the site(s)" \ --output-dir sharepoint-ingest-output \ --num-processes 2 \ --verbose \ --partition-by-api \ --api-key "" .. tab:: Python .. code:: python import subprocess command = [ "unstructured-ingest", "sharepoint", "--client-id", "", "--client-cred", "", "--site", "", "--files-only", "Flag to process only files within the site(s)", "--output-dir", "sharepoint-ingest-output", "--num-processes", "2", "--verbose", "--partition-by-api", "--api-key", "", ] # Run the command process = subprocess.Popen(command, stdout=subprocess.PIPE) output, error = process.communicate() # Print output if process.returncode == 0: print('Command executed successfully. Output:') print(output.decode()) else: print('Command failed. Error:') print(error.decode()) Additionally, you will need to pass the ``--partition-endpoint`` if you're running the API locally. You can find more information about the ``unstructured`` API `here `_. For a full list of the options the CLI accepts check ``unstructured-ingest sharepoint --help``. NOTE: Keep in mind that you will need to have all the appropriate extras and dependencies for the file types of the documents contained in your data storage platform if you're running this locally. You can find more information about this in the `installation guide `_.