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Connect to Bing Search as an ODBC data source in PyCharm using the CData ODBC Driver for Bing Search.
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 Bing Search 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 Bing Search as well as PyCharm.
Add Pyodbc to the Project
Follow the steps below to add the pyodbc module to your project.
- Click File -> Settings to open the project settings window.
- Click Project Interpreter from the Project: YourProjectName menu.
- To add pyodbc, click the + button and enter pyodbc.
- Click Install Package to install pyodbc.

Connect to Bing Search
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.
To connect to Bing, set the ApiKey connection property. To obtain the API key, sign into Microsoft Cognitive Services and register for the Bing Search APIs.
Two API keys are then generated; select either one.
When querying tables, the SearchTerms parameter must be supplied in the WHERE clause.
Below is the syntax for a DSN:
[CData Bing Source]
Driver = CData ODBC Driver for Bing Search
Description = My Description
APIKey = MyAPIKey
Execute SQL to Bing Search
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 Bing};APIKey = MyAPIKey;')
cursor = cnxn.cursor()
cursor.execute("SELECT Title, ViewCount FROM VideoSearch WHERE SearchTerms = 'WayneTech'")
rows = cursor.fetchall()
for row in rows:
print(row.Title, row.ViewCount)
After connecting to Bing Search in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Bing Search results as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.