Using the CData ODBC Driver for Instagram in PyCharm

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Instagram ODBC Driver

The Instagram ODBC Driver is a powerful tool that allows you to connect with live data from Instagram, directly from any applications that support ODBC connectivity.

With the Instagram ODBC Driver accessing live Users, Relationships, Media, Tags, etc. is as easy as querying a database.



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.

  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 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 support@cdata.com.