SharePoint Python Connector

Read, Write, and Update SharePoint with Python

Easily connect Python-based Data Access, Visualization, ORM, ETL, AI/ML, and Custom Apps with Microsoft SharePoint!


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

Features

  • Compatible with Windows SharePoint Services 3.0, Microsoft Office SharePoint Server 2007 and above, and SharePoint Online
  • Support for Hidden and LookUp columns
  • Recursively scan Folders to create an in-depth relational model of your SharePoint data
  • Supports uploading and downloading documents and attachments
  • Powerful metadata querying enables SQL-like access to non-database sources
  • Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
  • Client-side query execution engine, supports SQL-92 operations that are not available server-side
  • Connect to live Microsoft SharePoint data, for real-time data access
  • 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

Specifications

  • Python Database API (DB-API) Modules for SharePoint with bi-directional access.
  • Write SQL, get Microsoft SharePoint data. Access SharePoint through standard Python Database Connectivity.
  • Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
  • Simple command-line based data exploration of SharePoint Lists, Contacts, Calendar, Links, Tasks, and more!
  • 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 SharePoint

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


  • Universal Python SharePoint Connectivity

    Easily connect to SharePoint data from common Python-based frameworks, including:


    • Data Analysis/Visualization: Jupyter Notebook, pandas, Matplotlib
    • ORM: SQLAlchemy, SQLObject, Storm
    • Web Applications: Dash, Django
    • ETL: Apache Airflow, Luigi, Bonobo, Bubbles, petl
  • Popular Tooling Integration

    The SharePoint Connector integrates seamlessly with popular data science and developer tooling like Anaconda, Visual Studio Python IDE, PyCharm, and more. Real Python,

  • Replication and Caching

    Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

  • String, Date, Numeric SQL Functions

    The SharePoint Connector includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.

  • Collaborative Query Processing

    Our Python Connector enhances the capabilities of SharePoint with additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.

  • Easily Customizable and Configurable

    The data model exposed by our SharePoint Connector can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.

  • Enterprise-class Secure Connectivity

    Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

Connecting to SharePoint with Python

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


Connecting to SharePoint in Python

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

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

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Lists")
 
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 SharePoint Data with pandas

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

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

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

df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

SharePoint 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 SharePoint Connector as easily as interacting with a database table.