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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 RSS 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 RSS as well as PyCharm.
Follow the steps below to add the pyodbc module to your project.
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.
You can connect to RSS and Atom feeds, as well as feeds with custom extensions. To connect to a feed, set the URL property. You can also access secure feeds. A variety of authentication mechanisms are supported. See the help documentation for details.
Below is the syntax for a DSN:
[CData RSS Source] Driver = CData ODBC Driver for RSS Description = My Description URI = http://broadcastCorp/rss/
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 RSS};URI = http://broadcastCorp/rss/;')
cursor = cnxn.cursor()
cursor.execute("SELECT Author, Pubdate FROM Latest News WHERE Category = 'US'")
rows = cursor.fetchall()
for row in rows:
print(row.Author, row.Pubdate)
After connecting to RSS in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to RSS feeds as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].
Download a free trial of the RSS ODBC Driver to get started:
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👁 RSS IconThe RSS ODBC Driver is a powerful tool that allows you to connect with live RSS feeds, directly from any applications that support ODBC connectivity.
With the RSS ODBC Driver, accessing live RSS feeds is as easy as querying a database.