Connect Python to HubSpot Using ODBC (Quick Guide)

Develop, Build & Integrate Marketplace Apps
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If you want to integrate Python with HubSpot, one of the easiest methods is using the ZappySys HubSpot ODBC Driver. It allows Python to query HubSpot objects (Owners, Contacts, Deals, etc.) using simple SQL-like commands.

What You Need

  • ZappySys ODBC PowerPack
  • A HubSpot Private App token
  • The Python library pyodbc

Quick Steps

  1. Install the ODBC PowerPack and set up a HubSpot ODBC DSN using your Private App token.
  2. Install pyodbc:

pip install pyodbc

  1. Run a simple Python script:
import pyodbc
conn = pyodbc.connect('DSN=API Driver - Hubspot')
cursor = conn.cursor()
cursor.execute("SELECT * FROM Owners")
print(cursor.fetchone())

This will immediately fetch data from HubSpot’s API through ODBC.

Read the complete step-by-step guide with screenshots here:

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Hi @DaniZappysys, I hope you’re having a fantastic day!

Thank you so much for sharing this useful guide with the HubSpot Community!
I am sure it will be helpful to many Community Members!

Have a wonderful weekend!
Bérangère

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While ODBC offers SQL familiarity, in production environments with high request volumes, I’ve consistently found the native HubSpot Python SDK (hubspot-api-client) delivers superior performance and maintainability. The SDK provides direct async support, built-in rate limit handling, and automatic retry logic—critical for enterprise-scale integrations.

From a cost perspective, ODBC drivers introduce licensing overhead. The native SDK approach eliminates that dependency entirely while giving you granular control over batch operations and webhook subscriptions for real-time data sync.

For teams already invested in ODBC infrastructure, this approach makes sense. However, if you’re building from scratch, the official SDK’s typed response objects and comprehensive error handling will save significant debugging time downstream.