News & Blog Article Extractor (Text, Author, Date, Image)

Extract clean article data from any news or blog URL, with no login, no browser and no code. Export to JSON, CSV or Excel, or use the API.

Extract clean article data from any news or blog URL: headline, authors, published and modified dates, publisher, section, keywords, lead image, language, word count, reading time and full Markdown or plain text. Can also discover article links from a section page or RSS feed. Built for media monitoring, AI summarization and research datasets.

Use cases

• Media monitoring and press-mention tracking
• Feed articles to an LLM for summaries or sentiment
• Build research datasets of articles with authors and dates

Input

Field	Type	Notes
articleUrls	array	Direct links to articles or blog posts.
sectionUrls	array	Homepages, category pages or feeds to discover article links from.
maxArticlesPerSection	integer
includeMarkdown	boolean
includeText	boolean
mainContentOnly	boolean
includeLinks	boolean
respectRobots	boolean
maxConcurrency	integer

Example input

{
 "articleUrls": [
  "https://blog.apify.com/what-is-web-scraping/",
  "https://www.bbc.com/news",
  "https://example.com/missing-page-404"
 ],
 "sectionUrls": [
  "https://hnrss.org/frontpage"
 ],
 "maxArticlesPerSection": 4
}

Output

One dataset item per result. Main columns: url, headline, authors, datePublished, publisher, section, wordCount, readingTimeMinutes, image, error. A RUN_SUMMARY record is saved to the default key-value store. See the sample output in the Output tab.

Example output

{
  "url": "https://blog.apify.com/what-is-web-scraping/",
  "canonicalUrl": "https://blog.apify.com/what-is-web-scraping/",
  "headline": "What is web scraping?",
  "description": "The basics of web scraping: what it is, how it works, real-world use cases, and how to get started.",
  "authors": [
    "David Barton"
  ],
  "datePublished": "2024-10-15T14:32:00.000Z",
  "dateModified": "2026-10-09T17:13:43.000Z",
  "publisher": "Apify Blog",
  "section": null,
  "keywords": [
    "Programming"
  ],
  "image": "https://storage.ghost.io/c/f2/6e/f26ec999-9a90-4aee-a0d4-9b3ca2bb668f/content/images/2024/04/what-is-web-sc...",
  "language": "en",
  "wordCount": 1427,
  "readingTimeMinutes": 6,
  "isArticle": true,
  "markdown": "Web scraping is the process of automatically extracting data from a website. You use a program called a web...",
  "extractedAt": "2026-10-12T04:44:03.199Z"
}

Pricing

Pay per result, with no monthly rental or subscription:

• Article extracted: $0.001

Example: 1,000 results cost about $1.00 in fees. Apify's free plan includes $5 of monthly credit, which is enough to test this Actor.

FAQ

Do I need an account, cookies or a login for the source site? No. News & Blog Article Extractor uses public data sources only, so there is nothing to connect and no account to risk.

How much will a run cost? You pay only for results delivered (see Pricing above), plus Apify platform usage, which the free plan's monthly credit easily covers for test runs. Start with a small limit to see the exact cost per run.

Can I export to CSV, Excel or Google Sheets? Yes. Every run's dataset can be downloaded as JSON, CSV, Excel, XML or HTML, or pushed to Google Sheets, Make, Zapier, n8n, Slack or a webhook through Apify integrations.

Can I run it on a schedule or from my own code? Yes. Add an Apify Schedule (hourly, daily, weekly) or call it through the Apify API / Python & JavaScript clients. It also works with AI agents through the Apify MCP server.

What happens if an input is invalid or a source is down? The run keeps going. The bad input gets a row with an error field so you can see what failed, and you are not charged for results that were not delivered.

Is this legal to use? It collects publicly available data. You are responsible for using the output in line with the source's terms and privacy laws such as GDPR/CCPA; don't use it for spam.

Something missing or broken? Open an issue on the Issues tab. Feature requests are usually added within a few days.

Scheduling / monitoring

Create a Schedule (daily/weekly) and connect a webhook or Slack/email integration.

Fair use

Official public APIs only, no login. Do not use output for spam or harassment. Respect the data sources' rate limits and terms.