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from $1.30 / 1,000 results

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CNBC News & Pro Articles Scraper

Try for free

Scrape CNBC news and CNBC Pro articles into structured records: headline, authors, section, tags, ticker symbols, dates and the full article body. Give it article URLs or section names (technology, markets, economy...) — ideal for news monitoring, research and AI pipelines.

Pricing

from $1.30 / 1,000 results

Rating

0.0

(0)

Developer

kibalee

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

What you get

One record per article:

Field	Description
`url`, `id`	Article URL and CNBC's article id
`headline`, `shortHeadline`, `description`, `deck`, `summary`	Titles and summaries
`authors`	Author names with job titles, profile URLs and photos
`section`, `sectionHierarchy`	Section (e.g. Technology) and its breadcrumb
`tags`	Topic and entity tags (people, companies, themes)
`tickerSymbols`	Stocks mentioned, with `category` = `Primary` or `Mentioned`
`datePublished`, `dateLastPublished`	ISO 8601 timestamps
`timeToReadMinutes`	CNBC's own reading-time estimate
`premium`	`true` for CNBC Pro articles
`keyPoints`	Bullet summary when the article has one
`body`	Article text as paragraphs
`bodyText`	The same text as one string
`wordCount`, `promoImage`, `scrapedAt`	Word count, lead image, scrape timestamp

CNBC Pro articles are returned with their full text. For Pro articles the body comes through as a single text block (bodyText, one entry in body), because the page does not expose paragraph breaks for gated stories.

How to use

Specific articles — paste article URLs into Article URLs.

Whole sections — put section names into Sections, e.g. technology, markets, economy, politics, world-markets. The actor takes the latest articles first and collects up to Max articles per section.

Latest news — run with no input at all and you get the newest articles from CNBC's news sitemap.

Example output

{
  "url": "https://www.cnbc.com/2026/09/11/europe-first-trillion-dollar-company.html",
  "id": 108361733,
  "premium": true,
  "headline": "Europe is still waiting for a trillion-dollar company. Here's PitchBook's frontrunner",
  "authors": [{"name": "Jenni Reid", "jobTitle": "Reporter", "url": "https://www.cnbc.com/jenni-reid/"}],
  "section": {"name": "Technology", "eyebrow": "Tech", "url": "https://www.cnbc.com/technology/"},
  "tickerSymbols": [{"symbol": "ASML", "name": "ASML Holding NV", "category": "Primary"}],
  "datePublished": "2026-09-11T14:03:44+00:00",
  "timeToReadMinutes": 3,
  "body": ["As the U.S. tech giants scale eye-watering $5 trillion valuations, ..."],
  "wordCount": 483
}

Pricing

Pay per article scraped — charged per record in the dataset. Metadata-only runs (Include full article text off) cost the same per record.

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