Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →
Using the CData ODBC Driver for Google Search in PyCharm
Connect to Google Search as an ODBC data source in PyCharm using the CData ODBC Driver for Google 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 Google 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 Google 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 Google 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 search with a Google custom search engine, you need to set the CustomSearchId and ApiKey connection properties.
To obtain the CustomSearchId property, sign into Google Custom Search Engine and create a new search engine.
To obtain the ApiKey property, you must enable the Custom Search API in the Google API Console.
Below is the syntax for a DSN:
[CData GoogleSearch Source]
Driver = CData ODBC Driver for Google Search
Description = My Description
CustomSearchId = def456
ApiKey = abc123
Execute SQL to Google 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 GoogleSearch};CustomSearchId = def456;ApiKey = abc123;')
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 Google Search in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Google 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.
Ready to get started?
Download a free trial of the Google Search ODBC Driver to get started:
Download NowLearn more:
Google Search ODBC Driver
The Google search ODBC Driver is a powerful tool that allows you to connect with live search results, directly from any applications that support ODBC connectivity.
Access Google search results through a standard ODBC Driver interface.
