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Use JayDeBeApi to access Greenhouse Data in Python


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

Access Greenhouse 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 Greenhouse and the JayDeBeApi module to work with remote Greenhouse 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 Greenhouse and visualize Greenhouse 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 Greenhouse data in Python using SQL.

You need an API key to connect to Greenhouse. To create an API key, follow the steps below:

  1. Click the Configure icon in the navigation bar and locate Dev Center on the left.
  2. Select API Credential Management.
  3. Click Create New API Key.
    • Set "API Type" to Harvest.
    • Set "Partner" to custom.
    • Optionally, provide a description.
  4. Proceed to Manage permissions and select the appropriate permissions based on the resources you want to access through the driver.
  5. Copy the created key and set APIKey to that value.

Built-in Connection String Designer

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

java -jar cdata.jdbc.greenhouse.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:greenhouse:APIKey=YourAPIKey;"

Access Greenhouse 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.greenhouse.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 Greenhouse:

import jaydebeapi #The JDBC connection string jdbc_url = "jdbc:greenhouse:APIKey=YourAPIKey;" 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.greenhouse.jar" conn = jaydebeapi.connect( "cdata.jdbc.greenhouse.GreenhouseDriver", jdbc_url, [username, password], jdbc_driver_jar, ) cursor = conn.cursor() cursor.execute("SELECT * FROM Applications;") 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 Greenhouse and start working with your live Greenhouse data in Python. Reach out to our Support Team if you have any questions.

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