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Using the CData ODBC Driver for Twitter in PyCharm
Connect to Twitter as an ODBC data source in PyCharm using the CData ODBC Driver for Twitter.
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 Twitter 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 Twitter 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 Twitter
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.
All tables require authentication. You can connect using your User and Password or OAuth. To authenticate using OAuth, you can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can register an app to obtain your own.
If you intend to communicate with Twitter only as the currently authenticated user, then you can obtain the OAuthAccessToken and OAuthAccessTokenSecret directly by registering an app.
See the Getting Started chapter in the help documentation for a guide to using OAuth.
Below is the syntax for a DSN:
[CData Twitter Source]
Driver = CData ODBC Driver for Twitter
Description = My Description
Execute SQL to Twitter
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 Twitter};')
cursor = cnxn.cursor()
cursor.execute("SELECT From_User_Name, Retweet_Count FROM Tweets WHERE From_User_Name = 'twitter'")
rows = cursor.fetchall()
for row in rows:
print(row.From_User_Name, row.Retweet_Count)
After connecting to Twitter in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Twitter 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].
Ready to get started?
Download a free trial of the Twitter ODBC Driver to get started:
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Twitter ODBC Driver
The Twitter ODBC Driver is a powerful tool that allows you to connect with live data from Twitter, directly from any applications that support ODBC connectivity.
With the Twitter ODBC Driver accessing live Tweets, Followers, Messages, Searches, etc. is as easy as querying a database.