News Article Extractor: Full Text, Author, Date & Metadata avatar

News Article Extractor: Full Text, Author, Date & Metadata

Pricing

$2.00 / 1,000 article extracteds

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News Article Extractor: Full Text, Author, Date & Metadata

News Article Extractor: Full Text, Author, Date & Metadata

Paste article URLs or RSS feeds and get clean full text plus headline, authors, publish date, publisher, keywords and image from JSON-LD and OpenGraph. Built by Physea Labs (Liminal). Launch Sale: 90% OFF for the first week. $0.002 per article.

Pricing

$2.00 / 1,000 article extracteds

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jay casey

jay casey

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Paste article links or RSS feeds and get each story as clean text with its headline, authors, publish and update dates, publisher, section, keywords and lead image. Related links, share buttons, newsletter boxes and ads are removed.

🚀 Launch Sale: 90% OFF for the first week! Prices below are the regular rates; launch-week runs are billed at a tenth of them.

What can it do?

What you getFeatures
📰 Full article text, paragraphs and subheadings kept⚡ Plain HTTP, no browser: 4 articles in under a second
👤 Authors, publish date, modified date, publisher🧠 Metadata from JSON-LD NewsArticle, OpenGraph and meta tags
🏷️ Section, keywords, lead image, language, paywall flag📡 RSS / Atom feeds expanded into their newest articles

Who this is for

  • Media monitoring and PR clipping with real publish dates
  • Feeding news into LLM summaries, sentiment or RAG
  • Research datasets of articles from a list of outlets
  • Newsletters and digests built from RSS feeds

What you get back

FieldTypeWhat you getExample
titlestringHeadlineZuckerberg wins Meta deal...
authorsarrayAuthor names["Dearbail Jordan", "Kali Hays"]
published_atstringPublish date (ISO 8601 as published)2026-10-22T16:16:49.796Z
publisherstringOutlet nameBBC News
textstringClean article textMeta has agreed to a new deal...
word_countintegerWords in the text844
reading_time_minintegerMinutes at 230 wpm4
keywordsarrayTags / keywords["Programming"]
imagestringLead image URLhttps://.../image.png
statusstringok or errorok

Every run also writes RUN_SUMMARY.json to the key-value store (counts, spend-limit flag, pricing).

What you need to provide

FieldTypeWhat it doesExample
articleUrlsarrayLinks to news stories or blog posts.[{"url": "https://blog.apify.com/what-is-web-scraping/"}]
feedUrlsarrayFeed URLs; the newest articles in each feed are extracted.["https://feeds.bbci.co.uk/news/technology/rss.xml"]
maxArticlesPerFeedintegerNewest N items taken from each feed.3
maxArticlesintegerHard cap across URLs and feeds.100
includeHtmlbooleanAdd the page's raw HTML to each row (large).false
maxConcurrencyintegerArticles fetched at the same time.5

Quick start

  1. Click Try for free.
  2. Press Start: the sample input finishes in under a minute with no API keys or setup.
  3. Replace the sample with your own values and run again.
  4. Open the dataset, or export it as JSON, CSV or Excel.

Pricing

🚀 Launch Sale: 90% OFF for the first week!

  • article-extracted: $0.002 per article with readable text ($2 per 1,000 articles).
  • Failed, paywalled and empty pages are not charged.
  • Set a max cost per run in the run options and the run stops cleanly when it hits it.
  • Normal Apify platform usage applies.

Limits and honest notes

  • Pages are fetched without a browser. Hard paywalls and JavaScript-only sites return an error row and are not charged.
  • Text is extracted heuristically; very unusual layouts may include a stray caption or miss a sidebar quote.
  • Dates and authors are as the publisher declares them.
  • No other Apify actor is called: everything is collected in-house over plain HTTP.

Run it from code

Same input as the Console sample:

{
"articleUrls": [
{
"url": "https://blog.apify.com/what-is-web-scraping/"
}
],
"feedUrls": [
"https://feeds.bbci.co.uk/news/technology/rss.xml"
],
"maxArticlesPerFeed": 3
}
curl -X POST "https://api.apify.com/v2/acts/physealabs~news-article-extractor/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" -d @input.json
from apify_client import ApifyClient
items = ApifyClient("YOUR_APIFY_TOKEN").actor("physealabs/news-article-extractor").call(run_input={"articleUrls": [{"url": "https://blog.apify.com/what-is-web-scraping/"}], "feedUrls": ["https://feeds.bbci.co.uk/news/technology/rss.xml"], "maxArticlesPerFeed": 3})

It also works from Zapier, Make, n8n and Apify schedules.

About Physea Labs · Liminal

Built and maintained by Physea Labs: the same extraction layer that feeds Liminal, our grounded research and decision engine. If it is good enough to feed Liminal's citations, it is good enough for your pipeline.