News Article To Markdown

Extract news articles as clean, ad-free Markdown with automatic author and publish date detection. Strips navigation, ads, related articles, comments, and social sharing widgets.

Features

• Clean extraction — removes nav, footer, ads, related articles, newsletters, comments, social widgets
• Author detection — automatically extracts author name from article header
• Date detection — automatically extracts publish date in various formats
• Image captions — generates alt text for images lacking captions
• Batch processing — extract multiple articles in a single run
• Works with any news site — BBC, CNN, Reuters, NYT, TechCrunch, etc.

How It Works

1. Provide news article URLs as input.
2. The Actor fetches each article, stripping all non-content elements.
3. Author and publish date are extracted from the first 20 lines.
4. Clean Markdown with metadata is stored in the Apify dataset.

Input

{
    "startUrls": [
        { "url": "https://www.bbc.com/news/technology-67988517" },
        { "url": "https://techcrunch.com/2024/01/15/some-article" }
    ]
}

Output

{
    "url": "https://www.bbc.com/news/technology-67988517",
    "author": "Jane Smith",
    "publishDate": "2024-01-15",
    "markdown": "# Article Title\n\nArticle content..."
}

Use Cases

• Media monitoring and news aggregation
• Build news datasets for AI training
• Track coverage of specific topics
• Feed news into summarization pipelines

Keywords

news scraper, article extractor, news to markdown, media monitoring, news parser, article scraper

Pricing

$50 per 1,000 article extractions.