RSS & Atom Feed Reader with Auto-Discovery

Turn any website or feed into clean JSON items: title, link, date, author, summary, categories, enclosures. Paste a homepage and the feed is discovered automatically. Keyword and published-since filters for news monitoring.

Why this actor

• Auto-discovery from a homepage (most competitors need the exact feed URL), no start fee, built-in keyword/date filters.
• Pay only for results: $1.00 per 1,000 feed items, no start fee, failed lookups are free.
• Robust: automatic retries with exponential backoff, respects Retry-After, per-item error rows instead of crashed runs.
• Clean, flat JSON/CSV/Excel output ready for Google Sheets, Make, Zapier, n8n, Clay, or the Apify API.

Use cases

• News & brand monitoring pipelines (Make, Zapier, n8n)
• Feeding AI agents/newsletters with fresh articles
• Podcast episode tracking via enclosures
• Competitor blog monitoring

Input

Field	Type	Description
urls	array	RSS/Atom feed URLs, or any website URL (the feed is auto-discovered).
publishedSince	string	Only items published on/after this date.
keywords	array	Keep items whose title/summary contains any of these.
maxItemsPerFeed	integer	Cap per feed.
includeContent	boolean	When the feed provides it.
allDiscoveredFeeds	boolean	If a site advertises several feeds, read up to 10 of them.
maxItems	integer	0 = no limit.

Example input:

{
  "urls": [
    "https://feeds.bbci.co.uk/news/rss.xml",
    "https://www.theverge.com",
    "https://blog.python.org",
    "https://example.com"
  ],
  "maxItemsPerFeed": 10
}

Output

Each dataset item looks like this (real sample from a test run, long fields trimmed):

{
  "title": "Python 3.16.0 alpha 1 is now available",
  "link": "https://blog.python.org/2026/10/python-3160-alpha-1-is-now-available/",
  "publishedAt": "2026-10-13T07:00:00+00:00",
  "author": "Savannah Ostrowski",
  "summary": "The first developer preview of Python 3.16 is ready for testing.",
  "contentHtml": null,
  "categories": [
    "releases"
  ],
  "guid": "https://blog.python.org/2026/10/python-3160-alpha-1-is-now-available/",
  "enclosureUrl": null,
  "feedTitle": "Python Insider",
  "feedUrl": "https://blog.python.org/rss.xml",
  "source": "https://blog.python.org",
  "scrapedAt": "2026-10-14T05:58:22+00:00"
}

Rows that could not be processed contain an error field and are not charged.

Pricing

Pay-per-event: $0.001 per feed item (= $1.00 / 1,000). Use Max results to cap spend. Apify's free plan credit covers thousands of results per month.

Integrations & API

Run on a schedule in Apify Console, call via the Apify API / Python & JS clients, or connect to Make, Zapier, n8n, Google Sheets, Slack and webhooks. Works as a tool for AI agents via Apify MCP.

FAQ

Is it legal? The actor only reads publicly available data from public endpoints, without logins, and does not bypass paywalls or access controls. You are responsible for using the data in line with applicable laws (e.g. GDPR) and the source sites' terms.

Something broke? Open an issue in the Issues tab; we typically respond within 24 hours and ship fixes fast.