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How to use SQLAlchemy ORM to access RSS Feeds in Python
Create Python applications and scripts that use SQLAlchemy Object-Relational Mappings of RSS feeds.
The rich ecosystem of Python modules lets you get to work quickly and integrate your systems effectively. With the CData Python Connector for RSS and the SQLAlchemy toolkit, you can build RSS-connected Python applications and scripts. This article shows how to use SQLAlchemy to connect to RSS feeds to query RSS feeds.
With built-in optimized data processing, the CData Python Connector offers unmatched performance for interacting with live RSS feeds in Python. When you issue complex SQL queries from RSS, the CData Connector pushes supported SQL operations, like filters and aggregations, directly to RSS and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Connecting to RSS Feeds
Connecting to RSS feeds looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.
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.
Follow the procedure below to install SQLAlchemy and start accessing RSS through Python objects.
Install Required Modules
Use the pip utility to install the SQLAlchemy toolkit and SQLAlchemy ORM package:
pip install sqlalchemy
pip install sqlalchemy.orm
Be sure to import the appropriate modules:
from sqlalchemy import create_engine, String, Column
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
Model RSS Feeds in Python
You can now connect with a connection string. Use the create_engine function to create an Engine for working with RSS feeds.
NOTE: Users should URL encode the any connection string properties that include special characters. For more information, refer to the SQL Alchemy documentation.
engine = create_engine("rss:///?URI=http://broadcastCorp/rss/")
Declare a Mapping Class for RSS Feeds
After establishing the connection, declare a mapping class for the table you wish to model in the ORM (in this article, we will model the Latest News table). Use the sqlalchemy.ext.declarative.declarative_base function and create a new class with some or all of the fields (columns) defined.
base = declarative_base()
class Latest News(base):
__tablename__ = "Latest News"
Author = Column(String,primary_key=True)
Pubdate = Column(String)
...
Query RSS Feeds
With the mapping class prepared, you can use a session object to query the data source. After binding the Engine to the session, provide the mapping class to the session query method.
Using the query Method
engine = create_engine("rss:///?URI=http://broadcastCorp/rss/")
factory = sessionmaker(bind=engine)
session = factory()
for instance in session.query(Latest News).filter_by(Category="US"):
print("Author: ", instance.Author)
print("Pubdate: ", instance.Pubdate)
print("---------")
Alternatively, you can use the execute method with the appropriate table object. The code below works with an active session.
Using the execute Method
Latest News_table = Latest News.metadata.tables["Latest News"]
for instance in session.execute(Latest News_table.select().where(Latest News_table.c.Category == "US")):
print("Author: ", instance.Author)
print("Pubdate: ", instance.Pubdate)
print("---------")
For examples of more complex querying, including JOINs, aggregations, limits, and more, refer to the Help documentation for the extension.
Free Trial & More Information
Download a free, 30-day trial of the CData Python Connector for RSS to start building Python apps and scripts with connectivity to RSS feeds. Reach out to our Support Team if you have any questions.
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