Python 3 6 Feedparser issue getting sub attributes

Title: A Guide to Parsing RSS Feeds with Python 3.6 and Feedparser
Introduction:
Parsing RSS feeds is a common task for developers who want to extract and process data from websites, blogs, and news sources. Python offers several libraries for this purpose, and one of the most popular ones is Feedparser. In this tutorial, we'll explore how to use Feedparser in Python 3.6 to extract sub-attributes from RSS feed entries.
Prerequisites:
Before we begin, ensure you have the following:
Python 3.6 or higher installed on your system.
The feedparser library installed. You can install it using pip:
Parsing RSS Feeds with Feedparser:
Feedparser simplifies the process of parsing RSS and Atom feeds. You can access various attributes of feed entries, such as title, date, summary, and more. Let's go through the steps to parse an RSS feed and access its sub-attributes.
Example Code:
Below is a Python script that demonstrates how to parse an RSS feed and retrieve sub-attributes from its entries. In this example, we'll use a sample RSS feed from "https://example.com/rss-feed" as an illustration.
Explanation:
We import the feedparser library, which allows us to work with RSS and Atom feeds.
We define the URL of the RSS feed you want to parse.
We use feedparser.parse(feed_url) to parse the RSS feed and store the result in the feed object.
We check if the parsing was successful (feed.bozo is False), and if it was, we proceed to access feed attributes.
We print the feed title using feed.feed.title.
We iterate through the feed entries and access their title, published date, and summary.
We demonstrate how to access sub-attributes such as author and links within each feed entry.
Finally, we handle the case where the feed parsing failed.
Conclusion:
You have now learned how to parse an RSS feed using Python 3.6 and the feedparser library. This tutorial covered the basic steps to access sub-attributes within RSS feed entries. You can extend this knowledge to extract more specific information from various feeds and incorporate it into your Python applications.
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