/
/
Python

Microsoft Ads Python Connector

SQL-based access to Microsoft Ads from Python

Easily connect Python-based data access, visualization, ORM, ETL, AI/ML, and custom apps with Microsoft Ads!

Decorative Icon Microsoft Ads Logo
Claude
Claude
GitHub Copilot
Gemini
New
CData Drivers now work with AI Coding tools

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

Features

Work with a relational model of your Microsoft Ads data based on aggregations and time periods
Connect to live Microsoft Ads data, for real-time data access with the Microsoft Ads 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 Microsoft Ads Connector.

Specifications

Python Database API (DB-API) Modules for Microsoft Ads .
Write SQL, get Microsoft Ads data. Access Microsoft Ads through standard Python Database Connectivity.
Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
Simple command-line based data exploration of Microsoft Ads 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 Microsoft Ads

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


Connecting to Microsoft Ads with Python

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


Connecting to Microsoft Ads 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.microsoftads as mod
conn = mod.connect("[email protected]; Password=password;")

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

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

df.plot()
plt.show()

Visualize Microsoft Ads Data with pandas

The data-centric interfaces of the Microsoft Ads 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 Microsoft Ads integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Microsoft Ads 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 Microsoft Ads.

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