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RSS & Atom Feed Parser

Parse any RSS or Atom feed into structured JSON and plug it straight into your monitoring pipeline. Tracking competitor blogs, industry news, or podcast releases becomes a scheduled job that outputs clean, normalized data — no XML wrangling required. Feed it dozens of URLs at once and get back every item with title, link, date, author, and content snippet.

Features

• Multi-feed processing — parse dozens of RSS and Atom feeds in a single run
• Format-agnostic — handles RSS 2.0, RSS 1.0, and Atom feeds automatically
• Normalized output — consistent JSON structure regardless of feed format differences
• Content snippets — extracts plain-text previews from HTML content fields
• Category extraction — preserves article categories and tags from feed metadata
• Configurable limits — control how many items to extract per feed
• Timeout protection — per-feed timeout prevents slow feeds from blocking the entire run

Input

Input Example

{
"urls":[
"https://news.ycombinator.com/rss",
"https://feeds.arstechnica.com/arstechnica/index"
],
"maxItems":50,
"timeoutSeconds":15
}

Output

Each dataset item represents one feed item (article, post, or episode). Key fields:

• feedUrl (string) — the source feed URL
• feedTitle (string) — title of the parent feed
• itemTitle (string) — title of the individual item
• itemLink (string) — URL to the full content
• pubDate (string) — publication date
• creator (string) — author or creator name
• contentSnippet (string) — plain-text preview of the content
• guid (string) — unique identifier for the item
• categories (array) — list of tags or categories

Output Example

{
"feedUrl":"https://news.ycombinator.com/rss",
"feedTitle":"Hacker News",
"itemTitle":"Show HN: Open-source tool for managing database migrations",
"itemLink":"https://github.com/example/db-migrate",
"pubDate":"Mon, 20 Jan 2025 18:45:00 +0000",
"creator":null,
"contentSnippet":"A lightweight CLI for managing SQL migrations across Postgres, MySQL, and SQLite.",
"guid":"https://news.ycombinator.com/item?id=38901234",
"categories":[]
}

Pricing

Use Cases

• Content monitoring — schedule daily runs to track blog posts, news articles, or podcast episodes
• Competitive intelligence — follow competitor RSS feeds for product announcements and blog updates
• Data pipeline ingestion — normalize feed data into JSON for downstream processing, databases, or dashboards
• Newsletter automation — aggregate content from multiple sources into a curated feed
• AI agent context — supply structured article data to LLM pipelines and RAG applications
• Slack/webhook alerts — combine with Apify integrations to push new items to Slack or email

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