Tanod utilpeek – RSS/Atom/RDF Feed Parser is a paid API for AI agents from tanod.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-30).
Fetches and parses a public RSS 2.0, Atom, or RDF feed URL and returns structured feed metadata and items as JSON
RSS to JSON: parse an RSS, Atom or RDF feed URL into clean JSON, feed data and items with UTC dates, plain-text summaries and audio enclosures (utilpeek by Tanod). Use when an agent must read an RSS, Atom or podcast feed URL as clean JSON (feed data, items, dates, enclosures).
Returns a JSON object with top-level feed metadata (title, author, link, image, language, categories, description, generator, copyright, whether it is a podcast) and an array of items each containing guid, link, title, author, summary, published date, categories, enclosure (URL, type, length), duration in seconds, episode number/season, and episode type. Also includes format (rss/atom/rdf), item count in feed, how many were returned, whether results were truncated, and the final resolved URL.
POSThttps://tanod.dev/v1/feeds/parse?utm_source=zero.xyzChoose this endpoint when you need to programmatically read, normalize, and extract structured data from any public RSS 2.0, Atom, or RDF feed — especially podcast feeds where enclosure, duration, episode number, and season metadata are important. Prefer it over generic web scrapers when the source is a known syndication feed format. It returns clean, normalized JSON so no XML parsing is needed downstream.
| Field | Type | Description |
|---|---|---|
| url | string | Public http(s) URL of an RSS 2.0, Atom or RDF feed (at most 8 MB; gzip accepted; private, internal and IP-literal hosts are refused). |
| limit | integer | Most items to return, 1-100 (default 20), in the feed's own order; item_count is the number the feed holds. |
{
"type": "json",
"example": {
"url": "https://lexfridman.com/feed/podcast/",
"feed": {
"link": "https://lexfridman.com/",
"image": "https://lexfridman.com/wordpress/wp-content/uploads/powerpress/artwork_3000-230.png",
"title": "Lex Fridman Podcast",
"author": "Lex Fridman",
"updated": "2026-10-10T23:30:34Z",
"explicit": false,
"language": "en-US",
"copyright": null,
"generator": "Blubrry PowerPress/11.17.11",
"categories": [
"Technology",
"Science",
"Society & Culture",
"Philosophy"
],
"is_podcast": true,
"description": "Conversations that explore technology, history, philosophy, physics, mathematics and the human condition with people from all walks of life."
},
"items": [
{
"guid": "https://lexfridman.com/?p=6506",
"link": "https://lexfridman.com/dhh-2/",
"image": null,
"title": "#501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux",
"author": null,
"season": null,
"episode": null,
"summary": "DHH is the creator of Ruby on Rails, Omarchy Linux, CTO of 37signals, and a racecar driver.",
"enclosure": {
"url": "https://media.blubrry.com/takeituneasy/ins.blubrry.com/takeituneasy/lex_ai_dhh_2.mp3",
"type": "audio/mpeg",
"length": 249955445
},
"published": "2026-08-26T21:47:04Z",
"categories": [
"ai"
],
"duration_s": 19317,
"episode_type": "full"
}
],
"format": "rss",
"returned": 1,
"final_url": "https://lexfridman.com/feed/podcast/",
"operation": "feed-parse",
"truncated": true,
"item_count": 502,
"untrusted_content": true
}
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