Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Using the CData ODBC Driver for Instagram in PyCharm
Connect to Instagram as an ODBC data source in PyCharm using the CData ODBC Driver for Instagram.
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 Instagram 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 Instagram 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 Instagram
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.
Instagram uses the OAuth 2 authentication standard. You will need to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL by registering an app with Instagram. See the help documentation for a guide.
Below is the syntax for a DSN:
[CData Instagram Source]
Driver = CData ODBC Driver for Instagram
Description = My Description
OAuthClientId = MyOAuthClientId
OAuthClientSecret = MyOAuthClientSecret
CallbackURL = http://localhost:portNumber
Execute SQL to Instagram
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 Instagram};OAuthClientId = MyOAuthClientId;OAuthClientSecret = MyOAuthClientSecret;CallbackURL = http://localhost:portNumber;')
cursor = cnxn.cursor()
cursor.execute("SELECT Link, LikesCount FROM Media WHERE TagName = 'goldfish'")
rows = cursor.fetchall()
for row in rows:
print(row.Link, row.LikesCount)
After connecting to Instagram in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Instagram 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].