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Rapidly create and deploy powerful Java applications that integrate with live Excel Spreadsheet content hosted on SharePoint server!

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Use JayDeBeApi to access SharePoint Excel Services Data in Python


Use standard Python scripting and the development environment of your choice to access live SharePoint Excel Services data.

Access SharePoint Excel Services data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData JDBC Driver for SharePoint Excel Services and the JayDeBeApi module to work with remote SharePoint Excel Services data in Python. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular Python language. This article shows how to use the driver to execute SQL queries to SharePoint Excel Services and visualize SharePoint Excel Services data with standard Python.

Use the JayDeBeApi module

JayDeBeApi is a Python library that serves as a JDBC (Java Database Connectivity) bridge, allowing Python programs to interact with Java databases, including CData JDBC Drivers. Use the pip install command to install the module:

pip install JayDeBeApi

Create the JDBC URL

Once you have JayDeBeApi installed, you are ready to work with SharePoint Excel Services data in Python using SQL.

The URL, User, and Password properties, under the Authentication section, must be set to valid credentials for SharePoint Online, SharePoint 2010, or SharePoint 2013. Additionally, the Library property must be set to a valid SharePoint Document Library and the File property must be set to a valid .xlsx file in the indicated Library.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the SharePoint Excel Services JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.excelservices.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample variable assignment, including a typical JDBC connection string:

jdbc_url = "jdbc:excelservices:URL=https://myorg.sharepoint.com;User=admin@myorg.onmicrosoft.com;Password=password;File=Book1.xlsx;"

Access SharePoint Excel Services data in Python

With the JDBC URL configured, you only need the absolute path to the JDBC driver JAR file, which is in the "lib" folder in the installation directory ("C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.excelservices.jar" on Windows).

NOTE: If you haven't already, set the JAVA_HOME environment variable to the Java installation directory.

Use code similar to the follow to read and print data from SharePoint Excel Services:

import jaydebeapi #The JDBC connection string jdbc_url = "jdbc:excelservices:URL=https://myorg.sharepoint.com;User=admin@myorg.onmicrosoft.com;Password=password;File=Book1.xlsx;" username = "****" password = "****" #The absolute Path to the JDBC driver JAR file, typically: jdbc_driver_jar = "C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.excelservices.jar" conn = jaydebeapi.connect( "cdata.jdbc.excelservices.jar", jdbc_url, [username, password], jdbc_driver_jar, ) cursor = conn.cursor() cursor.execute("SELECT * FROM Account;") results = cursor.fetchall() for row in results: print(row) cursor.close() conn.close()

Free trial & more information

Download a free, 30-day trial of the CData JDBC Driver for SharePoint Excel Services and start working with your live SharePoint Excel Services data in Python. Reach out to our Support Team if you have any questions.