Google Campaign Manager 360 Python Connector

SQL-based access to Google Campaign Manager 360 from Python

Easily connect Python-based data access, visualization, ORM, ETL, AI/ML, and custom apps with Google Campaign Manager 360!

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Python Connector Libraries for Google Campaign Manager 360 Data Connectivity. Integrate Google Campaign Manager 360 with popular Python tools like Pandas, SQLAlchemy, Dash & petl. Easy-to-use Python Database API (DB-API) Modules connect Google Campaign Manager 360 data with Python and any Python-based applications.

Features

Work with a relational model of your DoubleClick Campaign Manager data based on dimensions and metrics
Connect to live Google Campaign Manager 360 data, for real-time data access with the Google Campaign Manager 360 Python Connectors
Full support for data aggregation and complex JOINs in SQL queries
Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Google Campaign Manager 360 Connector.

Specifications

Python Database API (DB-API) Modules for Google Campaign Manager 360 .
Write SQL, get Google Campaign Manager 360 data. Access Google Campaign Manager 360 through standard Python Database Connectivity.
Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
Simple command-line based data exploration of Google Campaign Manager 360 performance and analysis data.
Full Unicode support for data, parameter, & metadata.

CData Python connectors in action!

Watch the video overview for a first hand-look at the powerful data integration capabilities included in the CData Python Connectors.

Watch the Python Connector Video Overview

Python connectivity with Google Campaign Manager 360

Full-featured and consistent SQL access to any supported data source through Python


Connecting to Google Campaign Manager 360 with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with Google Campaign Manager 360 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 Google Campaign Manager 360
  • Query Google Campaign Manager 360 to retrieve or update data
  • Connect your Google Campaign Manager 360 data with Python data tools.


Connecting to Google Campaign Manager 360 in Python

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

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.

import cdata.googlecampaignmanager360 as mod
conn = mod.connect("[email protected]; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Ads")
	
rs = cur.fetchall()
	
for row in rs:
print(row)
		
engine = create_engine("googlecampaignmanager360///Password=password&User=user")

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

df.plot()
plt.show()

Visualize Google Campaign Manager 360 Data with pandas

The data-centric interfaces of the Google Campaign Manager 360 Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.

AI-assisted development with CData CLI

Build Google Campaign Manager 360 integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Google Campaign Manager 360 schema. No more guessing table names or column types—AI sees the same metadata in your Python Connectors.

Your AI Knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Google Campaign Manager 360.

More Accurate, More Token-Efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools
Download CData CLI