Article Extractor - Clean Text, Markdown & Metadata

Turn any article URL into clean text and LLM-ready Markdown, plus the title, author, publish date, site name, language, lead image, word count and reading time. Menus, ads, cookie banners, footers and "related stories" are removed. Paste hundreds of URLs at once.

Why this one

• Markdown that keeps structure. Headings, lists, links and code blocks survive, which is exactly what RAG pipelines, summarizers and LLM prompts need.
• Real metadata. Author and dates come from the page's structured data (JSON-LD and meta tags) first, with Readability as a fallback, so you get "Kif Leswing, Isabel O'Brien" and 2026-10-24T11:00:01Z, not an empty field.
• No junk rows. Bot-check pages ("Just a moment...", "Access denied"), section fronts and headline lists are detected and skipped instead of being returned as fake articles.
• You never pay for skipped pages. Blocked, missing, non-HTML and non-article URLs are listed in RUN_SUMMARY with the reason and cost nothing.
• Fast and light. Plain HTTP with the same engine as Firefox Reader View; no browser per page. Pages that block the first attempt get one retry through a residential proxy.

Output

{
    "url": "https://www.cnbc.com/2026/10/24/nvidias-role-as-ai-financier-...html",
    "canonicalUrl": "https://www.cnbc.com/2026/10/24/nvidias-role-as-ai-financier-...html",
    "title": "Nvidia's role as AI financier faces first big test as neoclouds take market hit",
    "author": "Kif Leswing, Isabel O'Brien",
    "publishedAt": "2026-10-24T11:00:01.000Z",
    "modifiedAt": null,
    "siteName": "CNBC",
    "language": "en",
    "description": "...",
    "imageUrl": "https://image.cnbcfm.com/...jpg",
    "section": "Technology",
    "keywords": ["Nvidia", "AI"],
    "wordCount": 1800,
    "readingTimeMinutes": 8,
    "text": "Nvidia has spent the past year...",
    "markdown": "Nvidia has spent the past year...\n\n## Key points\n\n- ...",
    "html": null
}

Use cases

• RAG and AI agents: feed clean Markdown into embeddings, summaries or chat context.
• Media monitoring: pair it with a news feed to store full articles with author and date.
• Research and archiving: save readable copies of papers, posts and documentation.
• Content analysis: word counts, reading time and language across many sites.

Tip: pair it with Google News Scraper (real publisher URLs) for a news-to-text pipeline.

Pricing

Pay per extracted article, one fixed price with platform usage included. See the Pricing tab. Skipped URLs are free.

Good to know

• Paywalled articles return only what the page shows without a subscription.
• A few sites block all automated access; those are skipped and reported, never charged.
• minWords (default 120) decides what counts as an article; lower it for short posts.

Feedback

A page extracted badly? Open an issue on the Issues tab with the URL.

Related Actors

More search, seo and content scrapers by the same developer, with the same pay-per-result pricing:

Actor	What it gets
Google Trends Scraper	Interest over time, by region, related queries and trending searches
Google News Scraper	Google News articles with the real publisher URL
Keyword Suggestions	Autocomplete keyword ideas from Google, YouTube, Bing and Amazon
Google Play Scraper	Google Play reviews, app details, search and developers
Website Screenshot	Bulk full-page, mobile and PDF screenshots
Domain Lookup	WHOIS/RDAP, DNS, SSL expiry and email security for many domains
Events Scraper	Events from Eventbrite, Meetup and Luma in one format
Instagram Profile & Posts Scraper	Public profiles, posts and engagement rate, no login