Integration with HubSpot centralizes customer and lead information in real time, enabling more precise email campaigns and optimized marketing strategies. For instance, you can use SQL and Python to automatically calculate lead scoring and deal conversion rates, then visualize those metrics with MDX-powered dashboards. Additionally, by integrating support tickets and campaign engagement data, you gain deeper insights into customer needs, enabling more targeted follow-ups and strategic planning. With Morph, these data-driven processes are streamlined, empowering teams to make faster, more informed decisions.

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_salesforce_opportunities(context: MorphGlobalContext) -> pd.DataFrame:
    access_token = get_auth_token("salesforce-connection-name")

    # ↓↓↓ call API with access_token ↓↓↓

Links

• Hubspot API Docs