Markets and business news monitoring
Use CNBC endpoints to turn markets and business news monitoring into repeatable API requests with documented inputs and JSON responses.
Turn CNBC's public editorial section taxonomy, section article cards, and article pages into normalized JSON for markets and business news monitoring.
List CNBC's public editorial sections, read a section's current article cards, and get full public article content as structured JSON.
Endpoint families
4
Documented params
8
Examples
4
Live catalog snapshot
Active endpoints
4
Methods
GET
Required params
6
Schema refs
4
{
"platform": "CNBC",
"endpoint": "cnbc-article",
"method": "GET",
"path": "/cnbc/article",
"auth": "apiKey"
}Use cases
List CNBC's public editorial sections, read a section's current article cards, and get full public article content as structured JSON.
Use CNBC endpoints to turn markets and business news monitoring into repeatable API requests with documented inputs and JSON responses.
Use CNBC endpoints to turn editorial research into repeatable API requests with documented inputs and JSON responses.
Use CNBC endpoints to turn content aggregation into repeatable API requests with documented inputs and JSON responses.
Managed execution
Every figure below is read from the live CNBC endpoint catalog — 4 endpoints, 8 documented request parameters, and 4 published response schemas — the same catalog Docs and Playground run against.
4 documented CNBC endpoints, grouped into 4 request families — Article, Author and Categories, plus 1 more.
8 request parameters are documented across those CNBC endpoints, 6 of them required — the full input contract is public before you write any integration code.
4 of the 4 CNBC endpoints ship a recorded example response, and 4 carry a documented response schema — you can code against the real JSON before the first request.
CNBC endpoints document their error responses (400, 404, 429, 500 and 503) alongside the success schema, so a block, a rate limit, or a missing record comes back as a typed error rather than silently empty data.
4 hosted MCP tools back the CNBC endpoints, so an agent can call the same routes with the same parameters and the same JSON contract, with no custom glue.
Coverage map
These cards are generated from the active endpoint catalog, so the landing page reflects the same API surface used by Docs and Playground.
/cnbc/article
/cnbc/author
/cnbc/categories
/cnbc/headlines
Endpoint catalog
/cnbc/articleReturns public CNBC article metadata and server-rendered body paragraphs. Provide a canonical dated cnbc.com article URL; account-gated content is not bypassed.
MCP tool cnbc_article
/cnbc/authorReturns one CNBC author's public bio page: name, job title, biography, social links, and their most recent articles. Provide either the author's slug (the last path segment of their cnbc.com bio page) or the full bio page URL.
MCP tool cnbc_author
/cnbc/categoriesLists the public CNBC editorial sections accepted by /cnbc/headlines, including market, investing, business, technology, and policy subsections, with each section's slug, display name, and landing-page URL.
MCP tool cnbc_categories
/cnbc/headlinesReturns current server-rendered CNBC headlines for one public editorial section, including title, article URL, and card metadata when available. Use /cnbc/categories to discover the supported section slugs.
MCP tool cnbc_headlines
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How to scrape CNBC
CNBC groups its coverage into 48 public editorial sections spanning Markets, Business, Tech, and Politics & Policy — a taxonomy that outlived the network's own corporate split, since CNBC moved from NBCUniversal into the newly spun-off Versant Media Group when Versant began trading on Nasdaq in January 2026. A 2026-09-24 pull of the finance section returned 38 cards mixing multi-day market moves with Fed and tariff coverage. Crawlora's four CNBC endpoints turn that navigation, its section cards, and its article and author pages into normalized JSON.
/cnbc/categories returns CNBC's live top-level and market-subsection slugs — 48 of them on 2026-09-24, from markets and cryptocurrency through ai-artificial-intelligence and congress.
Pass a slug to /cnbc/headlines; the finance section returned 38 current cards on 2026-09-24, several missing an image_url, spanning stories from September 14 through September 24.
/cnbc/article returns author, a section tag, published_at and updated_at with an explicit +0000 offset, and body paragraphs. That section tag can be more specific than the top-level navigation — one tested article came back tagged "China Economy," which isn't itself one of the 48 /cnbc/categories slugs.
/cnbc/author returns a reporter's job title, bio, and social links, plus recent articles — but that list uses CNBC's own relative and mixed date strings, like "2 Hours Ago" or "September 23, 2026," rather than the ISO timestamps /cnbc/article and /cnbc/headlines use.
FAQ
/cnbc/categories returned 48 slugs on 2026-09-24, loosely grouped into Markets, Business, Tech, and Politics & Policy. Call it live rather than hardcoding a list, since CNBC adds and renames sections over time.
Not necessarily. A live 2026-09-24 China-AI-talks article came back tagged "China Economy," a page-level subsection CNBC uses internally that doesn't appear anywhere in the /cnbc/categories navigation tree.
No. /cnbc/article and /cnbc/headlines use ISO timestamps with a +0000 offset, while /cnbc/author's recent-articles list carries CNBC's own display strings, such as "11 Hours Ago." Parse that field differently if you need an actual datetime from it.
No. These four endpoints read CNBC's public editorial sections, story cards, and article and author pages. CNBC Pro, the network's own paid markets product, is a separate offering and isn't part of this integration.