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Use case · Content aggregation

News, blogs, journals. One pipeline.

Manual content curation does not scale. Aggregate clean, structured articles from hundreds of sources — with duplicate detection, attribution, and categorisation built in.

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The challenge

The content aggregation challenge.

Information overload is the problem. The fix isn’t more sources — it’s an aggregation pipeline that keeps the signal and drops the noise.

Manual waste

Marketing teams spend hours daily copy-pasting from disparate sources just to keep the curated feed alive.

Falling behind

Research analysts can’t track rapidly evolving industry developments with manual workflows.

Missed opportunities

Delayed awareness of market trends costs competitive advantage — and lost windows are hard to reclaim.

Incomplete intelligence

Fragmented sources create gaps in analysis. The story is in the cross-source view, not in any single feed.

Use cases

What teams build with content aggregation.

News platforms

News aggregation that actually scales.

Aggregate articles from hundreds of news sites, tech blogs, and industry publications. Headlines, body text, publish dates, authors, hero images — all extracted, categorised, and unified. Topic-specific feeds from diverse sources, one clean stream.

Business outcomes
  • 10,000+ articles aggregated daily, automatically
  • 95% reduction in content-sourcing time
  • Breaking news 80% faster than manual curation
  • Comprehensive topic coverage across all relevant sources
Marketing curation

Content marketing without the content treadmill.

Auto-aggregate high-quality content from industry leaders and authoritative sources. Surface trending topics with engagement-metric signals. Power newsletters, social feeds, and content hubs without doing the research yourself.

Business outcomes
  • 300% more content output via curated content mix
  • Higher audience engagement on relevant third-party content
  • Research time cut from hours to minutes daily
  • Trending topics 48–72 hours ahead of mainstream coverage
Market trends

See category-wide shifts before they show up in your dashboard.

Aggregate industry publications, financial news, academic journals, analyst reports. Extract structured signals on emerging tech, regulatory changes, market shifts. Analyse content volume, sentiment, and topic evolution to spot inflection points early.

Business outcomes
  • Emerging trends identified 2–3 months earlier
  • Intel from 500+ industry sources automatically
  • Market reports generated in hours, not weeks
  • Continuous competitor + market-positioning tracking
Competitor watch

Monitor what competitors are saying, the day they say it.

Track competitor blogs, press releases, social, and media coverage. Auto-aggregate every new piece, with content themes, messaging shifts, and publishing cadence laid out. Build a competitor intelligence database that updates itself.

Business outcomes
  • Never miss a competitor announcement or content release
  • Comprehensive analysis of competitor content strategies
  • Respond to competitive threats 10x faster
  • Find competitor content gaps for strategic opportunities
Sources

Aggregate from any source on the web.

Pre-tuned extraction for the most common content sources; works on any URL you can feed us.

News websites

Articles from major publishers — CNN, BBC, Reuters. Headlines, full text, authors, images. Backbone of any news platform.

Tech blogs

TechCrunch, The Verge, hundreds of tech publications. Articles, reviews, analysis for tech-news platforms and intel.

Industry publications

Specialised finance, healthcare, manufacturing publications. Expert analysis, reports, regulatory updates.

RSS feeds

Enhance RSS with full-text extraction — go beyond summaries to grab complete content and images.

Social media

Twitter, LinkedIn, Reddit content. Trending discussions + viral content for trend analysis.

Forums

Reddit, Stack Overflow, Hacker News. Questions, answers, emerging discussions for customer + product intel.

Review sites

Yelp, TripAdvisor, G2, Trustpilot. Reviews, ratings, reviewer info for reputation and competitive analysis.

Academic journals

Research papers and abstracts. Author info and topics for research intelligence and lit reviews.

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How it works

Three steps to a content firehose you can actually drink from.

1

Configure sources

Add URLs or categories for the sites you want to monitor. Define fields: title, body, author, date, hero image, tags. Use pre-built templates for WordPress / Medium / major news sites or custom selectors. Filter by topic, keyword, or category to keep only what’s relevant.

2

Automate collection

Schedule per-source — every 15 min for breaking news, hourly for trending, daily for industry pubs. We detect new articles, strip ads + nav, identify duplicates across sources. JS rendering, proxy rotation, anti-bot are all handled.

3

Deliver structured

API, webhooks, scheduled exports. Standardised JSON across all sources, easy to display or pipe into your CMS, BI, or vector store. Real-time alerts on high-priority content. Auto-categorisation by topic, sentiment, or your custom taxonomy.

Try it

Drop an article URL into the playground.

See structured article data — title, body, author, date, hero image — extracted cleanly.

url Try in playground 
curl 'https://api.ujeebu.com/article' \
  -H 'ApiKey: YOUR_API_KEY' \
  -G \
  --data-urlencode 'url=https://www.theverge.com/tech/935898/asus-rog-zephyrus-g14-2026-intel-nvidia-review' \
  --data-urlencode 'summary=true' \
  --data-urlencode 'lang=auto'
No API key required for testing in the playground. Powered by /article
Features

Built for production content pipelines.

Article extraction

Headlines, body text, authors, dates, images, tags. Automatic article-boundary detection, navigation stripped, multi-page handling.

Duplicate detection

Content fingerprinting + fuzzy matching to catch syndicated content across publishers. Configure: keep first, prefer authoritative, or merge metadata.

Auto categorisation

AI-powered topic and sentiment tags. Standardise tags, identify trending topics, group related articles into a browsable library.

Multi-source aggregation

Unlimited sources scraped in parallel. Normalise diverse formats. Track per-source reliability. Balanced representation across publishers.

Scheduled updates

Per-source schedules from real-time to daily. Intelligent scheduling adapts to publishing patterns. Reports + exports on a cadence.

Clean text extraction

HTML/scripts/nav stripped automatically. Article structure preserved. Output ready for display or analysis with zero extra cleanup.

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FAQ

Frequently asked.

Is content aggregation legal?
Aggregating publicly available news headlines, summaries, and factual information for indexing, research, and fair use is generally lawful. Full article text is copyrighted — best practice is to link to original sources, attribute properly, respect robots.txt, and consider fair use for substantial quotes. Many successful aggregators operate legally; for commercial republishing, consult counsel.
How do I filter for quality content?
Source-level filters (authoritative publishers only), content-length filters (drop thin content), keyword + topic filters (relevance), negative-keyword filters (exclude spam/promo), engagement metrics where available, NLP-based quality scoring for advanced cases. Combine rules to capture only the most valuable articles.
How often should I update?
Breaking news: every 5–15 min. Tech blogs / trending: hourly. Industry pubs / analysis: daily. Academic journals: weekly or monthly. Per-source schedules let you optimise cost vs freshness; we don’t poll sources that don’t publish.
How does duplicate detection work?
Content fingerprinting for exact duplicates, fuzzy matching for near-duplicates (syndicated with minor variations), title similarity for same-topic-different-source, URL normalisation, publication-date analysis to identify originals vs republished. Configure rules for keep-first, prefer-authoritative, or merge metadata.
What languages are supported?
All major languages including English, Spanish, French, German, Chinese, Japanese, Arabic, Portuguese, Russian, and 100+ others. Multi-byte characters, RTL text, complex scripts handled automatically. Topic categorisation + duplicate detection work multilingually.
Do I need to provide attribution?
Yes — both legally and ethically. Always credit original publishers, link back to source articles, identify aggregated vs original content. Include author, date, publisher in metadata. Excerpts/summaries are safer than full text for fair-use compliance. Configure attribution to be added automatically to aggregated articles.
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