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Try them now for free →Use JayDeBeApi to access HubSpot Data in Python
Use standard Python scripting and the development environment of your choice to access live HubSpot data.
Access HubSpot data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData JDBC Driver for HubSpot and the JayDeBeApi module to work with remote HubSpot data in Python. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular Python language. This article shows how to use the driver to execute SQL queries to HubSpot and visualize HubSpot data with standard Python.
About HubSpot Data Integration
CData provides the easiest way to access and integrate live data from HubSpot. Customers use CData connectivity to:
- Access HubSpot without worrying about API updates or changes..
- Access custom objects and fields in HubSpot with no extra configuration steps involved.
- Use SQL stored procedures to perform functional operations like uploading or downloading attachments, inserting engagements, and creating or deleting custom objects or fields.
Users frequently integrate HubSpot with analytics tools such as Tableau, Power BI, and Excel, and leverage our tools to replicate Workday data to databases or data warehouses.
To learn about how other customers are using CData's HubSpot solutions, check out our blog: Drivers in Focus: Simplified HubSpot Connectivity.
Getting Started
Use the JayDeBeApi module
JayDeBeApi is a Python library that serves as a JDBC (Java Database Connectivity) bridge, allowing Python programs to interact with Java databases, including CData JDBC Drivers. Use the pip install command to install the module:
pip install JayDeBeApi
Create the JDBC URL
Once you have JayDeBeApi installed, you are ready to work with HubSpot data in Python using SQL.
HubSpot uses the OAuth authentication standard. You can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can obtain your own by registering an app.
See the Getting Started chapter of the help documentation for a guide to using OAuth.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the HubSpot JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.hubspot.jar
Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample variable assignment, including a typical JDBC connection string:
jdbc_url = "jdbc:hubspot:InitiateOAuth=GETANDREFRESH"
Access HubSpot data in Python
With the JDBC URL configured, you only need the absolute path to the JDBC driver JAR file, which is in the "lib" folder in the installation directory ("C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.hubspot.jar" on Windows).
NOTE: If you haven't already, set the JAVA_HOME environment variable to the Java installation directory.
Use code similar to the follow to read and print data from HubSpot:
import jaydebeapi
#The JDBC connection string
jdbc_url = "jdbc:hubspot:InitiateOAuth=GETANDREFRESH"
username = "****"
password = "****"
#The absolute Path to the JDBC driver JAR file, typically:
jdbc_driver_jar = "C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.hubspot.jar"
conn = jaydebeapi.connect(
"cdata.jdbc.hubspot.HubSpotDriver",
jdbc_url,
[username, password],
jdbc_driver_jar,
)
cursor = conn.cursor()
cursor.execute("SELECT * FROM Prospects;")
results = cursor.fetchall()
for row in results:
print(row)
cursor.close()
conn.close()
Free trial & more information
Download a free, 30-day trial of the CData JDBC Driver for HubSpot and start working with your live HubSpot data in Python. Reach out to our Support Team if you have any questions.