Use JayDeBeApi to access Browse AI Data in Python

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use standard Python scripting and the development environment of your choice to access live Browse AI data.

Access Browse AI data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData API Driver for JDBC and the JayDeBeApi module to work with remote Browse AI 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 Browse AI and visualize Browse AI 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 Browse AI data in Python using SQL.

Start by setting the Profile connection property to the location of the BrowseAI Profile on disk (e.g. C:\profiles\BrowseAI.apip). Next, set the ProfileSettings connection property to the connection string for BrowseAI (see below).

BrowseAI API Profile Settings

BrowseAI is a web scraping and automation platform that allows you to train robots to extract and monitor data from websites. Authentication is performed using an API key that is sent as a Bearer token in the Authorization header.

The BrowseAI API key has the format {userId}:{apiKey}, where both parts are UUIDs separated by a colon. This full string is provided as a single value in the BrowseAI dashboard.

To obtain your API key:

  1. Log in to your BrowseAI account at https://app.browse.ai
  2. Navigate to Settings in the dashboard
  3. Locate the API section
  4. Copy the full API key string displayed (format: userId:apiKey)

After obtaining your API key, set the following connection properties:

  • AuthScheme: Set this to APIKey.

Set the following in the ProfileSettings connection property:

  • APIKey: Set this to your BrowseAI API key (format: userId:apiKey).

Built-in Connection String Designer

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


java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\BrowseAI.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_user_id:your_api_key';"

Access Browse AI 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\CData API Driver for JDBC 20XX\lib\cdata.jdbc.api.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 Browse AI:


import jaydebeapi

#The JDBC connection string
jdbc_url = "jdbc:api:Profile=C:\profiles\BrowseAI.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_user_id:your_api_key';"

username = "****"
password = "****"

#The absolute Path to the JDBC driver JAR file, typically:
jdbc_driver_jar = "C:\Program Files\CData\CData API Driver for JDBC 20XX\lib\cdata.jdbc.api.jar"

conn = jaydebeapi.connect(
   "cdata.jdbc.api.APIDriver",
   jdbc_url,
   [username, password],
   jdbc_driver_jar,
)

cursor = conn.cursor()
cursor.execute("SELECT * FROM RobotTasks;")


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 API Driver for JDBC and start working with your live Browse AI data in Python. Reach out to our Support Team if you have any questions.

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