Any Website URL to Article Summarizer

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Extract and summarize article content from any website URL. Works on news sites, blogs, Wikipedia, Medium, documentation, and more.

Uses extractive summarization (selects the most important sentences from the article itself) — no external AI API key required.

Features

• 📰 Extract articles from any URL — news sites, blogs, Wikipedia, Medium, etc.
• 📝 Automatic extractive summary generation (selects most informative sentences)
• 🔑 Key points — top 5 most important sentences from the article
• 👤 Extracts title, author, publish date, description, and hero image
• 📊 Word count and reading time estimation
• 🔒 No AI API key required — all summarization happens locally
• 🌐 Supports multiple URLs per run
• 💾 Optional: include full cleaned article text in output

How Summarization Works

This actor uses extractive summarization:

1. Article text is cleaned and split into sentences
2. Each sentence is scored by word frequency (TF-style scoring)
3. The top-scoring sentences are selected and returned in their original reading order
4. Position bias boosts early sentences (intros are typically more important)

This approach works across all languages and domains without requiring an LLM or external API.

Input

Example Input

{
"urls":[
"https://en.wikipedia.org/wiki/Artificial_intelligence",
"https://techcrunch.com/2024/01/01/sample-article/"
],
"summaryLength":"medium",
"includeFullText":false,
"maxItems":10
}

Output

Each dataset record represents one summarized article:

Example output

{
"position":1,
"url":"https://en.wikipedia.org/wiki/Machine_learning",
"domain":"en.wikipedia.org",
"title":"Machine learning - Wikipedia",
"author":null,
"publishDate":null,
"description":"Machine learning (ML) is a field of study...",
"summary":"Machine learning is a subset of artificial intelligence...",
"keyPoints":["Machine learning models are often vulnerable to...","..."],
"wordCount":9653,
"readingTime":"48 min read",
"image":null,
"siteName":null,
"language":"en",
"scrapedAt":"2025-08-01T12:00:00.000Z"
}

Dataset Views

• Articles Overview — table with title, author, date, word count, reading time, URL, and summary
• Summaries — focused view showing title, summary, key points, URL, and domain

Technical Notes

• Uses real Google Chrome browser (Playwright) for handling JavaScript-rendered pages
• Fingerprint injection for natural browser behavior
• Article content is extracted using a multi-selector heuristic that prioritizes <article>, [itemprop="articleBody"], and common blog/CMS CSS classes
• Wikipedia [edit] and footnote [1] markers are automatically removed
• Reference sections (.reflist, .references) are removed from Wikipedia pages
• For paywalled articles, only publicly visible content is extracted

License

Apache-2.0