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Access QuickBooks 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 QuickBooks and the JayDeBeApi module to work with remote QuickBooks 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 QuickBooks and visualize QuickBooks data with standard Python.
CData simplifies access and integration of live QuickBooks data. Our customers leverage CData connectivity to:
Customers regularly integrate their QuickBooks data with preferred tools, like Power BI, Tableau, or Excel, and integrate QuickBooks data into their database or data warehouse.
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
Once you have JayDeBeApi installed, you are ready to work with QuickBooks data in Python using SQL.
When you are connecting to a local QuickBooks instance, you do not need to set any connection properties.
Requests are made to QuickBooks through the Remote Connector. The Remote Connector runs on the same machine as QuickBooks and accepts connections through a lightweight, embedded Web server. The server supports SSL/TLS, enabling users to connect securely from remote machines.
The first time you connect, authorize the Remote Connector with QuickBooks. See the "Getting Started" chapter of the help documentation for a guide.
For assistance in constructing the JDBC URL, use the connection string designer built into the QuickBooks JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.quickbooks.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a sample variable assignment, including a typical JDBC connection string:
jdbc_url = "jdbc:quickbooks:URL=http://remotehost:8166;User=admin;Password=admin123;"
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.quickbooks.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 QuickBooks:
import jaydebeapi
#The JDBC connection string
jdbc_url = "jdbc:quickbooks:URL=http://remotehost:8166;User=admin;Password=admin123;"
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.quickbooks.jar"
conn = jaydebeapi.connect(
"cdata.jdbc.quickbooks.QuickBooksDriver",
jdbc_url,
[username, password],
jdbc_driver_jar,
)
cursor = conn.cursor()
cursor.execute("SELECT * FROM Customers;")
results = cursor.fetchall()
for row in results:
print(row)
cursor.close()
conn.close()
Download a free, 30-day trial of the CData JDBC Driver for QuickBooks and start working with your live QuickBooks data in Python. Reach out to our Support Team if you have any questions.
Download a free trial of the QuickBooks Driver to get started:
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👁 QuickBooks IconComplete read-write access to QuickBooks enables developers to search (Customers, Transactions, Invoices, Sales Receipts, etc.), update items, edit customers, and more, from any Java/J2EE application.