Description
Overview
This podcast RSS feed generation automation workflow dynamically constructs a valid RSS XML feed by scraping episode data from a podcast series overview page. This no-code integration pipeline is designed for podcast publishers or developers needing automated feed creation from web-hosted content, triggered manually via an n8n manual trigger node.
It begins with a manual trigger and uses an HTTP Request node to fetch the HTML content of the podcast series overview page, specifically targeting episode links for structured extraction and further processing.
Key Benefits
- Automates podcast RSS feed creation by extracting episode metadata from web pages.
- Eliminates duplicate processing through link deduplication in the orchestration pipeline.
- Supports no-code integration of HTML extraction and JSON parsing for dynamic feed generation.
- Generates fully formatted RSS XML including publication dates, media enclosures, and descriptions.
Product Overview
This automation workflow initiates on a manual trigger within n8n to fetch and process podcast data from the ARD Audiothek website. It starts by retrieving the HTML of a podcast series overview page listing episodes. Using an HTML Extract node, it identifies and extracts all episode links containing the substring “/episode/” from anchor tags. The workflow then splits the list of links into individual items, removes duplicates to maintain uniqueness, and fetches each episode’s detailed HTML page.
From each episode page, the workflow extracts the second script tag containing embedded JSON metadata, which it parses into a structured JSON object. This metadata includes episode title, description, media URL, publication date, encoding format, duration, language, and production company details. A Function node consolidates these into properly escaped RSS feed items with enclosure tags, GUIDs, and formatted publication dates.
The workflow outputs an RSS 2.0 feed XML string encapsulating channel and episode data. Finally, a webhook node serves the generated RSS feed with the correct content type, responding synchronously to HTTP GET requests. Error handling relies on n8n’s default mechanisms, and no data persistence beyond transient processing occurs within the workflow.
Features and Outcomes
Core Automation
This orchestration pipeline processes podcast episode URLs extracted from HTML, applies deduplication, and parses embedded JSON metadata to construct RSS feed items. It deterministically transforms unstructured web content into a standard XML feed format.
- Single-pass evaluation of episode links with deduplication to avoid redundant data.
- Structured JSON parsing of embedded script elements for consistent metadata extraction.
- Deterministic assembly of RSS XML feed with HTML-escaped content for compliance.
Integrations and Intake
The workflow integrates HTTP Request nodes to pull HTML content from the podcast overview and episode pages using standard GET methods. Authentication is not required as the source pages are publicly accessible. Input consists of HTML documents containing episode links and embedded JSON metadata.
- HTTP Request node fetches overview and episode pages without authentication.
- HTML Extract node parses episode links and script tags for data intake.
- Function node processes parsed JSON for RSS feed item construction.
Outputs and Consumption
The output is a fully formed RSS 2.0 XML feed served synchronously via a webhook. The feed includes channel metadata and individual podcast episode items formatted with required RSS tags. Clients consuming the feed receive it with the appropriate MIME type for podcast applications.
- RSS XML feed including <channel> and <item> elements with episode details.
- Media enclosures with URLs, file lengths, and MIME types for each episode.
- Publication dates formatted to RFC 2822 standard for compatibility.
Workflow — End-to-End Execution
Step 1: Trigger
The workflow starts manually when the user clicks “execute” in the n8n interface, activating the manual trigger node. This initiates the sequence to fetch and process episode data from the podcast source.
Step 2: Processing
The workflow retrieves the podcast series overview page HTML via an HTTP Request node. An HTML Extract node then parses this content, extracting all anchor tags with href attributes containing “/episode/”. Extracted links are split into individual items for further processing and deduplicated to ensure unique episodes.
Step 3: Analysis
For each unique episode link, the workflow requests the episode’s HTML page. It extracts the second script tag containing embedded JSON metadata. This JSON is parsed into structured data objects, which the workflow uses to generate RSS feed items with episode titles, descriptions, media enclosures, publication dates, and unique identifiers.
Step 4: Delivery
The final RSS feed XML is assembled and served via a webhook node. The response includes the content type “application/rss+xml” and delivers the feed synchronously to clients requesting the webhook URL. This allows real-time access to updated podcast episode feeds.
Use Cases
Scenario 1
A podcast producer needs to automate feed generation without manual XML editing. This workflow scrapes episode data from a public site and outputs a compliant RSS feed, ensuring episodes are listed accurately and updated on demand.
Scenario 2
A developer managing a podcast aggregator requires an automated pipeline to convert web-based episode metadata into a standardized feed format. The solution reliably extracts JSON metadata embedded in pages and compiles it into RSS XML for client consumption.
Scenario 3
Organizations publishing podcasts on third-party platforms want to maintain synchronized RSS feeds. This no-code integration workflow fetches and processes episode listings dynamically, reducing maintenance overhead and eliminating manual feed updates.
How to use
After importing the workflow into n8n, users configure no additional credentials since the source pages are public. Trigger the workflow manually by clicking “execute” to start the process. The workflow fetches episode data, parses it, and generates an RSS feed accessible via the webhook node’s URL.
To maintain live synchronization, schedule the manual trigger or invoke the webhook endpoint periodically. The output RSS feed can be consumed by podcast players or aggregators expecting standard RSS 2.0 feed formats.
Comparison — Manual Process vs. Automation Workflow
| Attribute | Manual/Alternative | This Workflow |
|---|---|---|
| Steps required | Manual HTML inspection, XML feed editing, and manual upload. | Single automated pipeline with manual trigger and webhook delivery. |
| Consistency | Prone to human error and inconsistencies in metadata formatting. | Deterministic extraction and parsing ensures uniform feed structure. |
| Scalability | Limited by manual effort and error management with larger episode counts. | Handles large episode lists by automated link extraction and processing. |
| Maintenance | Requires ongoing manual updates and monitoring of feed correctness. | Minimal maintenance; relies on source page structure remaining stable. |
Technical Specifications
| Environment | n8n automation platform |
|---|---|
| Tools / APIs | HTTP Request, HTML Extract, Function, Manual Trigger, Webhook nodes |
| Execution Model | Manual trigger with synchronous webhook response |
| Input Formats | HTML pages (overview and episode), embedded JSON script strings |
| Output Formats | RSS 2.0 XML feed with iTunes-specific tags |
| Data Handling | Transient parsing and transformation without persistence |
| Known Constraints | Relies on stable HTML structure and availability of source web pages |
| Credentials | No authentication required for public website access |
Implementation Requirements
- Access to n8n environment with manual trigger and webhook node capabilities.
- Internet connectivity to fetch public podcast overview and episode pages.
- Stable HTML structure of ARD Audiothek podcast pages and embedded JSON in script tags.
Configuration & Validation
- Import and activate the workflow in n8n platform.
- Manually trigger the workflow and verify HTTP Request nodes successfully retrieve HTML content.
- Confirm RSS feed XML output matches expected podcast metadata and episode listings.
Data Provenance
- Manual Trigger node initiates the automation workflow.
- HTTP Request nodes retrieve overview and episode HTML pages.
- HTML Extract nodes parse episode links and embedded JSON metadata.
- Function node assembles RSS feed XML from parsed JSON objects.
- Webhook node serves the final RSS XML response.
FAQ
How is the podcast RSS feed generation automation workflow triggered?
The workflow starts manually via an n8n manual trigger node when the user clicks “execute” within the n8n interface.
Which tools or models does the orchestration pipeline use?
The pipeline uses HTTP Request nodes to fetch HTML, HTML Extract nodes to parse links and script content, a JSON parser via a Set node, and a Function node to assemble the RSS feed XML.
What does the response look like for client consumption?
The response is a synchronous HTTP reply containing an RSS 2.0 XML feed with podcast channel and episode metadata formatted with standard RSS and iTunes tags.
Is any data persisted by the workflow?
No data is persisted; all processing is transient within the workflow execution, and the RSS feed is dynamically generated on each run.
How are errors handled in this integration flow?
Error handling relies on n8n’s default behavior; no explicit retry or backoff logic is configured within the workflow nodes.
Conclusion
This podcast RSS feed generation automation workflow provides a deterministic method to scrape, parse, and transform episode data from a public podcast series web page into a valid RSS XML feed. It delivers consistent, up-to-date podcast metadata without manual intervention beyond triggering. The workflow depends on the availability and stable HTML structure of the source website, which is a key constraint. By leveraging n8n’s no-code integration nodes, it minimizes maintenance complexity while enabling synchronous feed delivery through a webhook endpoint.
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