ActiveCampaign Python Connector

Connecting to ActiveCampaign with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with ActiveCampaign from a wide range of standard Python data tools. Connecting to and working with your data in Python follows a basic pattern, regardless of data source:

• Configure the connection properties to ActiveCampaign
• Query ActiveCampaign to retrieve or update data
• Connect your ActiveCampaign data with Python data tools.

Connecting to ActiveCampaign in Python

To connect to your data from Python, import the extension and create a connection:

import cdata.activecampaign as mod
conn = mod.connect("User=user@domain.com; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Accounts")
 
rs = cur.fetchall()
 
for row in rs:
print(row)

Once you import the extension, you can work with all of your enterprise data using the python modules and toolkits that you already know and love, quickly building apps that help you drive business.

Visualize ActiveCampaign Data with pandas

The data-centric interfaces of the ActiveCampaign Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.

engine = create_engine("activecampaign///Password=password&User=user")

df = pandas.read_sql("SELECT * FROM Accounts", engine)

df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

ActiveCampaign Connector goes beyond read-only functionality to deliver full support for Create, Read Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the ActiveCampaign Connector as easily as interacting with a database table.