Consumer-tech intelligence
Use CNET endpoints to turn consumer-tech intelligence into repeatable API requests with documented inputs and JSON responses.
Research consumer technology, AI, computing, deals, cars and EVs, climate, science, and the practical impact of new products.
Collect CNET headlines, sections, and articles through 5 documented Crawlora endpoints, including an author-related route. Covers AI, computing, and deals.
Endpoint families
5
Documented params
10
Examples
5
Live catalog snapshot
Active endpoints
5
Methods
GET
Required params
7
Schema refs
5
{
"platform": "CNET",
"endpoint": "cnet-headlines",
"method": "GET",
"path": "/cnet/headlines",
"auth": "apiKey"
}Use cases
Collect CNET headlines, sections, and articles through 5 documented Crawlora endpoints, including an author-related route. Covers AI, computing, and deals.
Use CNET endpoints to turn consumer-tech intelligence into repeatable API requests with documented inputs and JSON responses.
Use CNET endpoints to turn ai product-news tracking into repeatable API requests with documented inputs and JSON responses.
Use CNET endpoints to turn ev and deal research into repeatable API requests with documented inputs and JSON responses.
Managed execution
Every figure below is read from the live CNET endpoint catalog — 5 endpoints, 10 documented request parameters, and 5 published response schemas — the same catalog Docs and Playground run against.
5 documented CNET endpoints, grouped into 5 request families — Article, Author and Headlines, plus 2 more.
10 request parameters are documented across those CNET endpoints, 7 of them required — the full input contract is public before you write any integration code.
5 of the 5 CNET endpoints ship a recorded example response, and 5 carry a documented response schema — you can code against the real JSON before the first request.
CNET endpoints document their error responses (400, 404, 429 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.
5 hosted MCP tools back the CNET endpoints, so an agent can call the same routes with the same parameters and the same JSON contract, with no custom glue.
Coverage map
/cnet/article
/cnet/author
/cnet/headlines
/cnet/news
/cnet/sections
Endpoint catalog
/cnet/headlinesReturns fresh CNET headlines for one topic. `section` is required and takes a topic slug such as `ai`, `deals`, `smart-home`, `electric-vehicles` or `tv-and-movies`; an invalid value returns a 400 error. Each item has a title and URL, and may also carry a summary, author, publication time and image.
MCP tool cnet_headlines
/cnet/newsReturns the latest CNET top stories, with no input needed. Each item has a title, canonical URL, summary, publication time and author name when CNET provides them.
MCP tool cnet_news
/cnet/sectionsLists the 51 CNET topics accepted by `cnet-headlines`: top-level and second-level topics with a recently updated feed, plus `ai`, `deals` and `tv-and-movies`. Each has a `slug`, a display `name` and the feed `url`. Deeper sub-topics are not separate sections; `internet` means Home Internet and `security` means Home Security.
MCP tool cnet_sections
/cnet/articleReturns public CNET article metadata and body paragraphs from a canonical article URL. CNET articles are freely readable; video-only pages and pages without an article body are reported as upstream errors rather than returned empty.
MCP tool cnet_article
/cnet/authorReturns one CNET author's public profile: name, role, biography, areas of expertise, social links, and one page of their recent articles.
MCP tool cnet_author
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How to scrape CNET
CNET's topic taxonomy supports product research that needs to distinguish reviews and purchasing content from AI, science, or automotive reporting. CNET's catalog ranges from AI and computing to deals, EVs, climate, biology, and culture. Separate buying advice from reported product news, because a review or best-of list can remain visible long after its original release. Its 2026-09-26 AI feed examined reported human call-centre involvement in Meta's Muse agent. Preserve the article date, section, and cited product name when following that story through later company responses, and use the original URL to revisit any corrections.
Use sections for AI, computing, deals, auto tech, EVs, climate, or science.
Call headlines or news for that section.
Send its public URL to the article route and retain its author data.
FAQ
Yes. Its public section catalog includes climate, automobiles, auto technology, and electric vehicles alongside computing and AI.
The 5-endpoint integration returns the public data documented for each CNET route. Article, headline, news, and section feeds vary by publisher; an author-related route is also listed, and its behavior is platform-specific.