Using the CData ODBC Driver for Bright Data in PyCharm

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for Bright Data from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Bright Data as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

1. Click File -> Settings to open the project settings window.
2. Click Project Interpreter from the Project: YourProjectName menu.
3. To add pyodbc, click the + button and enter pyodbc.
4. Click Install Package to install pyodbc.

Connect to Bright Data

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

Using API Key Authentication

To use the Bright Data API, you need an API key from the Bright Data Control Panel. Navigate to Account Settings > API to generate or retrieve your API key.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Bright Data API key from the Control Panel.

Example connection string:

Profile=C:\profiles\BrightData.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your_api_key"

Below is the syntax for a DSN:

[CData API Source]
Driver = CData ODBC Driver for Bright Data
Description = My Description
Profile = C:\profiles\BrightData.apip
AuthScheme = APIKey
ProfileSettings = "APIKey = your_api_key"

Execute SQL to Bright Data

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc

cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for API};Profile = C:\profiles\BrightData.apip;AuthScheme = APIKey;ProfileSettings = "APIKey = your_api_key"')
cursor = cnxn.cursor()
cursor.execute("SELECT , FROM AccountStatus WHERE = ''")
rows = cursor.fetchall()
for row in rows:
 print(row., row.)

After connecting to Bright Data in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Bright Data data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].