Pricing

$0.50 / 1,000 feed items

Universal RSS/Atom Feed Reader

Parse any RSS or Atom feed into clean JSON: title, link, author, date, categories, content, media. Handles both formats. For content monitoring and aggregation.

Pricing

$0.50 / 1,000 feed items

Rating

0.0

(0)

Developer

Mehmet Kut

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

🎯 What it does

Reads RSS 2.0 and Atom feeds (auto-detected)
Extracts: title, link, author, publish date, summary, full content (HTML), categories/tags
Captures media enclosures (podcast audio, images)
Feed-level metadata (feed title + description)
Handles blogs, news sites, podcasts, YouTube channel feeds, Reddit, GitHub releases, and more

💡 Use cases

Content aggregation — combine many feeds into one dataset
Blog / news monitoring — track new posts from sources you follow
Podcast indexing — extract episodes + audio URLs
Newsletter automation — build digests on a schedule
RSS-to-anything pipelines — feed into databases, Slack, LLMs
Competitive monitoring — watch competitors' blogs

📥 Input

Field	Type	Description
`feedUrls`	array	RSS/Atom feed URLs to parse
`maxItemsPerFeed`	integer	Max items per feed (default 100)
`maxConcurrency`	integer	Feeds parsed in parallel (default 10)

Example input

{
  "feedUrls": [
    "https://news.ycombinator.com/rss",
    "https://feeds.bbci.co.uk/news/technology/rss.xml"
  ],
  "maxItemsPerFeed": 100
}

📤 Output

{
  "feedTitle": "BBC News",
  "title": "Google must pay €4.1bn fine",
  "link": "https://www.bbc.com/news/...",
  "author": "BBC",
  "publishedAt": "Mon, 06 Jul 2026 09:00:00 GMT",
  "summary": "...",
  "categories": ["Technology"],
  "media": { "url": "...", "type": "audio/mpeg" },
  "format": "rss"
}

⚡ Performance

HTTP-based XML parsing — no browser, no API key. Parses many feeds in parallel, each in ~0.5s. Robust fallback handles feeds served with incorrect content-types.

🔗 Tip

Run on a schedule to build a continuous content-monitoring pipeline. Pair with the Currency or News scrapers for a full data-automation stack.

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