News and Media Data Extraction at Scale
Collect articles, headlines, publication metadata, and media content from news portals and publishers to power media monitoring, content aggregation, research archives, and AI training datasets.
Data Collection Challenges in News & Media
News sites use JavaScript-heavy templates that load article content, comment counts, and related article widgets dynamically after page load.
Paywall detection and soft-paywall metering make it difficult to access full article text on a subset of publisher sites.
Publication timestamps and article update times are inconsistently structured across publishers, complicating chronological ordering.
News crawls must handle high article volumes — major publishers produce dozens of articles per day — at low per-article cost.
Wire service content and syndicated articles appear on multiple publisher sites with minor variations, requiring deduplication.
Common Use Cases
Media monitoring platforms that track brand mentions, keyword occurrences, and narrative shifts across news sources.
Content aggregation services that curate and categorise news from multiple publishers into topic feeds.
Journalistic research tools that build searchable archives of articles from specific time periods or source sets.
AI training dataset construction using public news articles with proper licensing and attribution.
Financial news sentiment analysis feeding quantitative trading or ESG scoring models.
Extracted Data Types
Quick Start
curl -X POST https://alterlab.io/api/v1/scrape \
-H "X-API-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"url": "https://www.example-news.com/technology/ai-report-2026",
"render": "static",
"output_format": "markdown",
"extract": {
"headline": "string",
"author": "string",
"published_at": "string",
"word_count": "number"
}
}'Need an API key? — no credit card required.
Frequently Asked Questions
What output format does AlterLab return for news articles?
AlterLab supports multiple output formats: raw HTML, structured JSON extraction (for named fields like headline, author, and date), and markdown (which strips navigation and advertising, preserving article body structure). Markdown output is particularly useful for news pipelines feeding language model processing, as it produces clean article text without boilerplate.
Can AlterLab handle news sites behind soft paywalls?
Soft paywalls that load full article content before JavaScript triggers the paywall modal can often be accessed in static mode before the metering logic executes. Hard paywalls that gate content server-side return only the teaser regardless of client behaviour. AlterLab extracts whatever content the page serves — it does not circumvent authentication or subscription systems.
Compliance & Responsible Use
News article extraction raises significant copyright and database rights considerations. Many publishers explicitly prohibit automated content collection in their terms of service. Redistribution of extracted article content may infringe copyright without a licence. Organizations should consult their legal team and verify publisher terms before operating news extraction pipelines at scale.
AlterLab is designed for accessing publicly available data. Always review the terms of service for any website you access, respect robots.txt directives, and ensure your use case complies with applicable laws in your jurisdiction.
Explore other industry guides
Browse all industry data extraction guides or explore use case guides for more specific technical workflows.
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