Podcast RSS Feed Auto-Generator
This workflow can automatically scrape the web content of specified podcast series, extract episode links, and parse detailed information about the episodes, ultimately generating a standard RSS podcast feed. Through a Webhook interface, users can receive real-time updates of the RSS content, making it easy to integrate into various clients or platforms that support RSS. This workflow simplifies the traditional process of creating podcast RSS feeds, reduces manual maintenance costs, and is suitable for independent podcast producers, media platforms, and tech enthusiasts.
Workflow Name
Podcast RSS Feed Auto-Generator
Key Features and Highlights
This workflow automatically scrapes the web pages of a specified podcast series, extracts all episode links, removes duplicates, visits each episode page, parses detailed episode information, and dynamically generates a standard RSS podcast feed. It also supports providing real-time updated RSS content via Webhook, facilitating integration with any RSS-compatible client or platform.
Core Problem Addressed
Traditionally, creating and maintaining podcast RSS feeds requires manually writing and updating XML files, a process that is tedious and prone to errors. This workflow automates web data scraping and parsing to achieve real-time dynamic generation of podcast RSS feeds, significantly reducing manual maintenance efforts and technical barriers.
Use Cases
- Independent podcasters or teams needing to quickly build and update podcast feeds
- Media platforms aiming to automatically sync podcast content and reduce content management workload
- Developers and tech enthusiasts looking to generate custom podcast feeds through automation
- Any scenario requiring conversion of web-based podcast content into standard RSS format
Main Process Steps
- Trigger the workflow via Webhook
- Scrape the HTML of the specified podcast overview page
- Use HTML extraction nodes to filter and collect all episode links
- Split the link list and remove duplicates to ensure uniqueness
- Visit each podcast episode page one by one
- Extract JSON-formatted episode metadata embedded in the page
- Parse the JSON data and organize it into RSS-compliant item information
- Dynamically construct the complete RSS XML structure, including title, description, cover image, publication date, and other details
- Return the generated RSS content via Webhook response for external subscription use
Involved Systems or Services
- n8n automation platform
- HTTP request service (to access podcast web pages)
- HTML content extraction nodes
- Webhook (to provide the RSS subscription interface)
- JavaScript function nodes (for data processing and XML generation)
Target Users and Value
- Podcast creators and operators, simplifying RSS feed management
- Content aggregation platforms, enabling automatic synchronization of the latest podcast episodes
- Technical personnel and automation enthusiasts, for learning and implementing web data scraping and RSS generation
- Any users needing to convert web content into standard subscription formats
With this workflow, users can achieve automatic updates and efficient publishing of podcast content without manually maintaining complex RSS files, greatly enhancing content distribution efficiency and subscriber experience.