> ## Documentation Index > Fetch the complete documentation index at: https://docs.vectorshift.ai/llms.txt > Use this file to discover all available pages before exploring further. # RSS Feed Reader Node > Read data from an RSS feed RSS Feed Reader This node reads data from an RSS feed. ## Node Inputs 1. Feed Link: The link of the RSS feed * Type: `Text` 2. Number of Entries: The maximum number of entries to fetch * Type: `Integer` ## Node Parameters 1. Timeframe: The timeframe of publish dates of alerts to read. The available options are: All, Past Day, Past Week, Past Month ## Node Outputs 1. Titles: A list of the titles from the feed * Type: `List` * Example usage: `{{rss_feed_reader_0.titles}}` 2. Summaries: A list of summaries of the feed * Type: `List` * Example usage: `{{rss_feed_reader_0.snippets}}` 3. Links: A list of the links of the sites from the feed * Type: `List` * Example usage: `{{rss_feed_reader_0.links}}` 4. Contents: A list of the content from the feed * Type: `List` * Example usage: `{{rss_feed_reader_0.contents}}` 5. Authors: A list of the authors from the feed * Type: `List` * Example usage: `{{rss_feed_reader_0.authors}}` 6. Published Dates: A list of the publish dates from the feed * Type: `List` * Example usage: `{{rss_feed_reader_0.published_dates}}` ## Considerations * Click on the “+” button on the right of the node to create and connect the node to a [semantic search node](/platform/pipelines/knowledge/semantic-search) to enable semantic search on the feed. ## Example The below example shows a pipeline that returns the summaries from a RSS feed based on a RSS feed link. 1. Text Node: Contains the RSS feed link 2. RSS Feed Reader Node: Returns the summaries from the RSS feed based on a RSS feed link * Feed Link: `{{text_0.text}}` * Number of Entries: `10` * Timeframe: `All` 3. Output Node: Displays the summaries * Output: `{{rss_feed_reader_0.summaries}}` RSS Feed Reader Example