Notion

Connect Airtable 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 Notion dependencies as shown here.

pip install "unstructured[notion]"

Run Locally

#!/usr/bin/env bash

unstructured-ingest \
  notion \
  --api-key "<Notion api key>" \
  --output-dir notion-ingest-output \
  --page-ids "<Comma delimited list of page ids to process>" \
  --database-ids "<Comma delimited list of database ids to process>" \
  --num-processes 2 \
  --verbose

from unstructured.ingest.connector.notion.connector import NotionAccessConfig, SimpleNotionConfig
from unstructured.ingest.interfaces import PartitionConfig, ProcessorConfig, ReadConfig
from unstructured.ingest.runner import NotionRunner

if __name__ == "__main__":
    runner = NotionRunner(
        processor_config=ProcessorConfig(
            verbose=True,
            output_dir="notion-ingest-output",
            num_processes=2,
        ),
        read_config=ReadConfig(),
        partition_config=PartitionConfig(),
        connector_config=SimpleNotionConfig(
            access_config=NotionAccessConfig(
                notion_api_key="POPULATE API KEY",
            ),
            page_ids=["LIST", "OF", "PAGE", "IDS"],
            database_ids=["LIST", "OF", "DATABASE", "IDS"],
            recursive=False,
        ),
    )
    runner.run()

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.

#!/usr/bin/env bash

unstructured-ingest \
  notion \
  --api-key "<Notion api key>" \
  --output-dir notion-ingest-output \
  --page-ids "<Comma delimited list of page ids to process>" \
  --database-ids "<Comma delimited list of database ids to process>" \
  --num-processes 2 \
  --verbose \
  --partition-by-api \
  --api-key "<UNSTRUCTURED-API-KEY>"

import os

from unstructured.ingest.connector.notion.connector import NotionAccessConfig, SimpleNotionConfig
from unstructured.ingest.interfaces import PartitionConfig, ProcessorConfig, ReadConfig
from unstructured.ingest.runner import NotionRunner

if __name__ == "__main__":
    runner = NotionRunner(
        processor_config=ProcessorConfig(
            verbose=True,
            output_dir="notion-ingest-output",
            num_processes=2,
        ),
        read_config=ReadConfig(),
        partition_config=PartitionConfig(
            partition_by_api=True,
            api_key=os.getenv("UNSTRUCTURED_API_KEY"),
        ),
        connector_config=SimpleNotionConfig(
            access_config=NotionAccessConfig(
                notion_api_key="POPULATE API KEY",
            ),
            page_ids=["LIST", "OF", "PAGE", "IDS"],
            database_ids=["LIST", "OF", "DATABASE", "IDS"],
            recursive=False,
        ),
    )
    runner.run()

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 notion --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.