Use Dash to Build to Web Apps on ActiveCampaign Data

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for ActiveCampaign, the pandas module, and the Dash framework, you can build ActiveCampaign-connected web applications for ActiveCampaign data. This article shows how to connect to ActiveCampaign with the CData Connector and use pandas and Dash to build a simple web app for visualizing ActiveCampaign data.

With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live ActiveCampaign data in Python. When you issue complex SQL queries from ActiveCampaign, the driver pushes supported SQL operations, like filters and aggregations, directly to ActiveCampaign and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to ActiveCampaign Data

Connecting to ActiveCampaign data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

ActiveCampaign supports authenticating with the API Key. To connect to ActiveCampaign, set the following:

• URL: This can be found in your account on the My Settings page under the Developer tab. For example: https://{yourAccountName}.api-us1.com
• APIKey: This can be found in your account on the Settings page under the Developer tab. Each user in your ActiveCampaign account has their own unique API key.

After installing the CData ActiveCampaign Connector, follow the procedure below to install the other required modules and start accessing ActiveCampaign through Python objects.

Install Required Modules

Use the pip utility to install the required modules and frameworks:

pip install pandas
pip install dash
pip install dash-daq

Visualize ActiveCampaign Data in Python

Once the required modules and frameworks are installed, we are ready to build our web app. Code snippets follow, but the full source code is available at the end of the article.

First, be sure to import the modules (including the CData Connector) with the following:

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.activecampaign as mod
import plotly.graph_objs as go

You can now connect with a connection string. Use the connect function for the CData ActiveCampaign Connector to create a connection for working with ActiveCampaign data.

cnxn = mod.connect("URL=yourUrl;APIKey=yourApiKey")

Execute SQL to ActiveCampaign

Use the read_sql function from pandas to execute any SQL statement and store the result set in a DataFrame.

df = pd.read_sql("SELECT LastName, Email FROM Contacts WHERE LastName = 'Smith'", cnxn)

Configure the Web App

With the query results stored in a DataFrame, we can begin configuring the web app, assigning a name, stylesheet, and title.

app_name = 'dash-activecampaignedataplot'

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'

Configure the Layout

The next step is to create a bar graph based on our ActiveCampaign data and configure the app layout.

trace = go.Bar(x=df.LastName, y=df.Email, name='LastName')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='ActiveCampaign Contacts Data', barmode='stack')
		})
], className="container")

Set the App to Run

With the connection, app, and layout configured, we are ready to run the app. The last lines of Python code follow.

if __name__ == '__main__':
    app.run_server(debug=True)

Now, use Python to run the web app and a browser to view the ActiveCampaign data.

python activecampaign-dash.py

Free Trial & More Information

Download a free, 30-day trial of the CData Python Connector for ActiveCampaign to start building Python apps with connectivity to ActiveCampaign data. Reach out to our Support Team if you have any questions.

Full Source Code

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.activecampaign as mod
import plotly.graph_objs as go

cnxn = mod.connect("URL=yourUrl;APIKey=yourApiKey")

df = pd.read_sql("SELECT LastName, Email FROM Contacts WHERE LastName = 'Smith'", cnxn)
app_name = 'dash-activecampaigndataplot'

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'
trace = go.Bar(x=df.LastName, y=df.Email, name='LastName')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='ActiveCampaign Contacts Data', barmode='stack')
		})
], className="container")

if __name__ == '__main__':
    app.run_server(debug=True)