Pricing

from $0.17 / 1,000 item returneds

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RSS & Atom Feed Reader — Cheap, Monitor New Items

Try for free

Read RSS 2.0, RSS 1.0 (RDF) and Atom feeds into clean JSON. Monitor only new items on a schedule, filter by date, correct Japanese/Chinese/Korean encodings. $0.0005 per feed + $0.0002 per item.

Pricing

from $0.17 / 1,000 item returneds

Rating

0.0

(0)

Developer

Masahi Shop

Actor stats

Bookmarked

Total users

Monthly active users

13 days ago

Last modified

What can it be used for?

News, blog and release-note monitoring (run on an Apify schedule with "Only new items")
Feeding articles into LLM summaries, RAG or newsletters
Collecting podcast episodes (enclosure URLs)
Tracking Japanese / Asian media feeds without garbled text

Input

Field	Description
`feedUrls`	RSS / Atom feed URLs
`maxItemsPerFeed`	Default 100
`sinceDate`	Only items published since this date, e.g. `2026-10-01`
`onlyNewItems`	Return only items not returned before for the same feed list
`includeContent`	Also return full content HTML when available
`respectRobotsTxt`, `timeoutSecs`	Politeness and limits

Output (one item per feed entry)

{
    "type": "item",
    "feedUrl": "https://b.hatena.ne.jp/hotentry/it.rss",
    "feedTitle": "はてなブックマーク - 人気エントリー - テクノロジー",
    "feedFormat": "rss 1.0 (rdf)",
    "charset": "utf-8",
    "title": "...",
    "link": "https://...",
    "guid": "https://...",
    "published": "2026-10-06T03:12:00.000Z",
    "author": null,
    "categories": ["テクノロジー"],
    "summary": "...",
    "enclosures": []
}

Feeds that cannot be read produce one item with "type": "feed", "status": "failed" and an error message (not charged).

Pricing

Event	Price
Feed read (per successfully read feed)	$0.0005
Item returned (per feed entry in the output)	$0.0002

Example: 50 feeds × 20 items = $0.225. Failed feeds are not charged. Platform usage is included.

Tips for monitoring

Save your feed list as an Apify Task with onlyNewItems: true.
Add a Schedule (e.g. every hour).
Connect an integration (Slack, email, webhook) to get notified about new items.

The first run returns the current items; later runs return only what is new.

Web Page to Markdown for LLM — turn the linked articles into clean Markdown.

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