RSS Feed

Overview

The RSS Feed node fetches and parses a remote RSS 2.0 or Atom 1.0 feed, emitting a structured list of feed items (title, link, description, published date, author, and raw content) for downstream processing. Use it to monitor news sources, blog feeds, or any syndicated content pipeline that triggers battles or supplies prompts to AI contenders. No credentials are required for public feeds; authenticated feeds (HTTP Basic or bearer token) are supported via the credentials field. If the fetch fails or the feed is malformed, execution routes to the error output with a diagnostic message.

Configuration

Field	Type	Required	Description
url	string	Yes	Full URL of the RSS or Atom feed endpoint (e.g. https://feeds.example.com/news.rss).
maxItems	number	No	Maximum number of feed items to return per fetch. Defaults to 20. Use to cap downstream volume.
includeContent	boolean	No	When true, includes the full encoded content or summary body in each item alongside the description snippet. Defaults to false.
refreshInterval	number	No	Polling interval in seconds when the node is used in a scheduled workflow. Set to 0 to fetch only once per trigger.
filterKeywords	string	No	Comma-separated keywords to filter items by title or description. Only items containing at least one keyword are emitted.
credentials	enum	No	Reference to a stored credential set (HTTP Basic or Bearer token) for authenticated feeds. Leave empty for public feeds.

Inputs

Port	Type	Description
trigger	any	Accepts any upstream signal that initiates the fetch. Typically connected to a Schedule or Webhook node.

Outputs

Port	Type	Description
items	FeedItem[]	Array of parsed feed items, each containing title, link, description, publishedAt (ISO 8601), author, and optionally content.
meta	FeedMeta	Feed-level metadata: title, description, link, language, and lastBuildDate of the channel.
error	Error	Emitted when the fetch fails (network error, timeout, HTTP 4xx/5xx) or when the payload cannot be parsed as valid RSS or Atom.

Example

{
  "nodeType": "rss_feed",
  "config": {
    "url": "https://feeds.arstechnica.com/arstechnica/technology-lab",
    "maxItems": 10,
    "includeContent": true,
    "filterKeywords": "AI, machine learning, LLM"
  }
}