RSS Parser Online

The RSS Parser Online consumes syndicated feeds in RSS 2.0, Atom 1.0, or JSON Feed 1.1 formats and outputs a structured data model suitable for data pipelines and content workflows. It is designed for developers, editors, content managers, and publishers who rely on external feeds for news, blogs, or product updates. The tool exposes feed-level metadata (title, link, description) and item-level fields (title, link, pubDate, summary, content). It handles standard fields reliably and preserves enclosure data when present.

Inputs include feed_url (required, valid HTTPS URL), max_items (optional, 1–100), date_range (optional: all, last_7_days, last_30_days), include_media (optional boolean), and output_format (optional: json, xml, csv). Outputs include feed_title, total_items, and an items array with fields: title, link, pubDate (ISO 8601), summary, content, and enclosures. The tool normalizes dates to ISO 8601, truncates to max_items, and can export to multiple formats for downstream processing.

Algorithms rely on standard XML/JSON parsing plus optional keyword filtering. Parsing proceeds by resolving the feed URL, parsing XML/JSON payload, validating root elements, extracting item nodes, and transforming dates to UTC. If a feed lacks certain fields, defaults apply (empty strings). Optional keyword filters can be applied to item titles or summaries.

Edge cases include invalid URLs, redirects, non-feed documents, network timeouts, or feeds with nonstandard date formats. The tool reports structured errors and does not render UI messages. Use cases include monitoring multiple feeds, validating feed integrity before ingestion, and powering content dashboards or automation pipelines requiring stable feed data with predictable structure. Unique differentiators include consistent item schemas, configurable output formats, and robust handling of common feed variations across RSS, Atom, and JSON Feed.