Integration with Notion centralizes task management, documents, and project status, streamlining team collaboration. For example, you can automatically aggregate task information stored in Notion via SQL and Python, then visualize progress using MDX-powered dashboards. Additionally, analyzing text data such as notes and meeting minutes enables the extraction of frequently used keywords and priorities, improving decision-making accuracy. With Morph, these data-driven workflows become simple and efficient, enhancing productivity and collaboration across the entire team.

Set up connection information

Please refer to the DB/SaaS Connection to register the integration.

Once the integration is created, you can retrieve an AccessToken using the integration name from get_auth_token. With this token, you can proceed with data processing using the API.

import pandas as pd

import morph
from morph import MorphGlobalContext
from morph_lib.api import get_auth_token

@morph.func
def get_notion_records(context: MorphGlobalContext) -> pd.DataFrame:
    access_token = get_auth_token("salesforce-connection-name")

    # ↓↓↓ call API with access_token ↓↓↓

Links

• Notion API Docs