Automated RSS Feed Generation for ARD Audiothek Podcasts

Overview

This workflow automates the creation of an RSS feed for ARD Audiothek podcasts by extracting episode data directly from the source website. It streamlines the process of gathering, parsing, and formatting podcast information for syndication.

Key Features

• Automated Data Extraction: Uses HTTP requests and HTML extraction to collect podcast episode links and details from ARD Audiothek.
• Data Processing: Removes duplicate links, splits lists, and parses episode data into structured JSON.
• Feed Generation: Formats the extracted data into RSS feed items, making it accessible via a webhook endpoint.

Benefits

• Time Savings: Eliminates manual collection and formatting of podcast episode data.
• Consistency: Ensures up-to-date and accurate RSS feeds for podcast distribution.
• Integration Ready: Easily connects with podcast platforms or aggregators via webhook.

Use Cases

• Podcast Publishers: Automate syndication of ARD Audiothek podcasts to various platforms.
• Content Aggregators: Seamlessly integrate new episodes into content management systems.
• Developers: Use as a template for similar podcast feed automation projects.

Integrations & Processes

The workflow leverages HTTP requests, HTML parsing, list processing, and webhooks within n8n to deliver a robust, end-to-end automation for podcast feed management.