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Use Dash to Build to Web Apps on Google Ad Manager Data

The CData Python Connector for Google Ad Manager enables you to create Python applications that use pandas and Dash to build Google Ad Manager-connected web apps.

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

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

Connecting to Google Ad Manager Data

Connecting to Google Ad Manager 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.

Google Ads Manager uses the OAuth authentication standard. You can authorize the data provider to access Google Ads Manager as an individual user or with a service account that you create in the Google APIs Console. See the Getting Started section in the data provider help documentation for an authentication guide.

After installing the CData Google Ad Manager Connector, follow the procedure below to install the other required modules and start accessing Google Ad Manager 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 Google Ad Manager 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.googleadsmanager as mod
import plotly.graph_objs as go

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

cnxn = mod.connect("InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")")

Execute SQL to Google Ad Manager

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 Id, Name FROM Orders WHERE Id = '2112976978'", 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-googleadsmanageredataplot'

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 Google Ad Manager data and configure the app layout.

trace = go.Bar(x=df.Id, y=df.Name, name='Id')

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='Google Ad Manager Orders 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 Google Ad Manager data.

python googleadsmanager-dash.py

Free Trial & More Information

Download a free, 30-day trial of the Google Ad Manager Python Connector to start building Python apps with connectivity to Google Ad Manager 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.googleadsmanager as mod
import plotly.graph_objs as go

cnxn = mod.connect("InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")

df = pd.read_sql("SELECT Id, Name FROM Orders WHERE Id = '2112976978'", cnxn)
app_name = 'dash-googleadsmanagerdataplot'

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.Id, y=df.Name, name='Id')

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='Google Ad Manager Orders Data', barmode='stack')
		})
], className="container")

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