We extract article text, author bylines, timestamps, category tags, financial market updates, and video metadata from CNN. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Articles & News objects from cnn.com. All fields typed and schema-versioned.
"article_id": "cnn-pol-2026-05-12-142", "url": "https://edition.cnn.com/2026/05/12/politics/example-article/index.html", "headline": "Senate passes new infrastructure spending bill", "authors": "['John Doe', 'Jane Smith']", "published_date": "2026-05-12T14:30:00Z", "category": "Politics", "word_count": 842, "tags": "['Senate', 'Infrastructure', 'Congress']"
| # | article_id | url | headline | subheadline | authors | published_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for CNN Business & Markets objects from cnn.com. All fields typed and schema-versioned.
"ticker": "AAPL", "company_name": "Apple Inc.", "current_price": 185.42, "price_change": 2.15, "percent_change": 1.17, "exchange": "NASDAQ", "volume": 45210982, "timestamp": "2026-05-12T15:45:00Z"
| # | ticker | company_name | current_price | price_change | percent_change | market_cap |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Live Updates (Blogs) objects from cnn.com. All fields typed and schema-versioned.
"event_id": "live-news-global-summit-0512", "event_title": "Global Economic Summit 2026: Live Updates", "post_id": "post-98421", "post_timestamp": "2026-05-12T09:14:22Z", "post_author": "Michael Reporter", "is_pinned": false, "post_content": "The summit has officially commenced with opening remarks from the host nation."
| # | event_id | event_title | post_id | post_timestamp | post_author | post_content |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authors & Contributors objects from cnn.com. All fields typed and schema-versioned.
"author_id": "auth-4921", "name": "Sarah Correspondent", "role": "Chief Political Analyst", "profile_url": "https://edition.cnn.com/profiles/sarah-correspondent", "twitter_handle": "@SarahCNN", "article_count": 1423, "topics_covered": "['White House', 'Elections', 'Policy']"
| # | author_id | name | role | bio | profile_url | twitter_handle |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Video Metadata objects from cnn.com. All fields typed and schema-versioned.
"video_id": "vid-pol-8832", "title": "Analyst breaks down the latest polling data", "duration_seconds": 245, "show_name": "The Situation Room", "published_date": "2026-05-11T22:00:00Z", "transcript_available": true, "tags": "['Polling', 'Elections 2026']"
| # | video_id | title | description | duration_seconds | show_name | published_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our CNN pipeline parses complex editorial layouts, dynamic live blogs, and financial widgets to deliver clean text and metadata, bypassing aggressive CDN caching and anti-bot systems.
Capture clean body text, quotes, inline media links, and subheadings without advertising or navigation elements.
Extract timestamped updates from breaking news live pages. We maintain state to only push new posts as they occur.
Map journalists to topics, track publication frequency, and extract author profiles including social media handles.
Track ticker data, pre-market indicators, and financial news widgets updated in real time.
Extract show names, durations, broadcast dates, and transcripts from CNN video portals.
Crawl paginated archives and sitemaps for longitudinal media analysis dating back years.
Map site structure across Politics, Health, Entertainment, and Tech to categorise content accurately.
Continuous extraction of election maps, delegate counts, and polling data during election cycles.
Support for CNN International, CNN en Español, CNN Arabic, and regional variants.
Run one-off bulk exports for model training or configure continuous pipelines for breaking news.
Brief in. Clean data out.
Provide category URLs, specific author lists, or historical date ranges. We design the extraction schema together.
We configure Scrapy crawlers and Playwright instances, managing proxy rotation to bypass rate limits.
Schema validation, null-rate checks, and payload inspection ensure clean text without HTML artifacts.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on an agreed cadence.
News sites use dynamic loading and aggressive caching. Here is how we extract clean text and real-time updates reliably.
CNN uses heavy JavaScript for live blogs and market data. We use Playwright to hydrate the DOM, ensuring we capture content that headless HTTP clients miss.
High-frequency polling of breaking news pages triggers rate limits. Our crawlers use residential ISP proxies with realistic browser fingerprints to maintain continuous access.
News pages are cluttered with related article widgets, newsletter signups, and ads. Our parsers strip these elements to deliver pure, uninterrupted editorial content.
For live updates, we maintain state across pipeline runs and only push new timestamped posts, reducing downstream processing load and storage costs.
News layouts change drastically for major events like elections or summits. Our fallback chains ensure continuous extraction even when custom page templates are deployed.
Track brand mentions, executive coverage, and sentiment analysis across global news properties.
Correlate CNN Business headlines and market data with trading algorithms to detect market-moving news.
Extract polling data, election maps, and candidate coverage volume for campaign strategy and research.
Build massive, clean text corpora from historical news archives to train natural language processing models.
Monitor narrative evolution and source citations across breaking news events for academic research.
Media companies analyse CNN publication velocity, author output, and topic distribution to benchmark performance.
"CNN represents one of the largest continuous streams of global news and political data, essential for real-time media analysis and algorithmic trading."
Extracting news at scale requires handling dynamic live blogs, aggressive CDN caching, and constantly shifting page structures during major global events. DataFlirt manages the proxy rotation, headless browsers, and schema maintenance so you receive structured editorial data without the engineering overhead.
Everything supported by our cnn.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering for live blogs and market widgets. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies to bypass rate limits during high-frequency polling of breaking news pages.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting for continuous data feeds.
Data delivered to where your team already works — no new tooling required.
About cnn.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles and market data is generally permissible. DataFlirt targets only public, non-authenticated editorial content. We do not extract subscriber-only content or bypass paywalls. Clients should review terms of service and consult legal counsel for specific commercial use cases.
Yes. We configure stateful pipelines that poll live blog pages at high frequency, extracting new timestamped posts and delivering them via Webhook or streaming inserts with sub-minute latency.
Yes. We extract ticker prices, pre-market indicators, and financial news widgets, mapping company mentions to corresponding market data.
We can traverse category archives and sitemaps dating back years, depending on the availability of historical URLs on the site. This is ideal for training NLP models on longitudinal datasets.
We extract video metadata, show tags, durations, broadcast dates, and transcripts where available. We do not download or host the raw MP4 video files.
Yes. We support regional editions including CNN International, CNN en Español, and CNN Arabic, normalising the data into a single unified schema.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need historical archives for NLP training or a real-time feed of breaking news, we scope, build, and operate the pipeline.
