RSS Feed Reader with Full Article Text avatar

RSS Feed Reader with Full Article Text

Pricing

from $2.00 / 1,000 feed parseds

Go to Apify Store
RSS Feed Reader with Full Article Text

RSS Feed Reader with Full Article Text

Parse RSS/Atom feeds into clean JSON items — and optionally fetch the FULL article text behind each link, not just the summary. Filter by age, cap per feed. Failures are free.

Pricing

from $2.00 / 1,000 feed parseds

Rating

0.0

(0)

Developer

Opklaar

Opklaar

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

2

Monthly active users

a month ago

Last modified

Categories

Share

Parse any RSS or Atom feed into clean, structured JSON — and optionally follow each item's link to extract the complete article text, not just the truncated summary most feeds give you.

  • Any feed: RSS 2.0, RSS 1.0, Atom — malformed feeds handled gracefully
  • Full-text mode: each item's link is fetched and the main article body extracted (boilerplate, nav, and ads stripped) — perfect for LLM summarization, monitoring, or archiving
  • Filters: newest-first cap per feed, "only items newer than N hours" for scheduled monitoring
  • Honest pricing: unreachable feeds and failed extractions are free

Input

{
"feedUrls": ["https://news.ycombinator.com/rss"],
"maxItemsPerFeed": 20,
"sinceHours": 24,
"fullText": true
}

Output (one dataset item per feed entry)

{
"feed": "https://blog.example.com/rss",
"feed_title": "Example Blog",
"title": "We raised a Series B",
"link": "https://blog.example.com/series-b",
"published": "Mon, 10 Aug 2026 09:00:00 GMT",
"published_ts": 1786698000,
"author": "Jane Doe",
"summary": "Today we're announcing…",
"tags": ["funding", "company"],
"full_text": "Today we're announcing our Series B…",
"word_count": 1240
}

Pricing

Two events, both only on success:

  • feed-parsed — once per feed that parses correctly
  • article-fulltext — once per article whose full text was actually extracted (only when fullText is on)

Dead feeds, fetch errors, and pages with no extractable text cost nothing.

Typical setups

  • News monitoring: run on an Apify Schedule with sinceHours matching your interval → only fresh items, delivered to dataset/webhook
  • LLM digests: fullText: true → pipe complete articles into your summarizer instead of 200-character teasers
  • Content aggregation: merge dozens of feeds into one clean dataset with consistent fields

Works with AI agents

Exposed via Apify's MCP server: an agent can ask "what's new in these feeds since yesterday — with full text" and get everything in one structured response.