Consumer-tech intelligence
CNETエンドポイントを使えば、「Consumer-tech intelligence」をドキュメント化された入力とJSONレスポンスによる再現可能なAPIリクエストに変えられます。
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.
エンドポイントファミリー
5
ドキュメント化されたパラメータ
10
サンプル数
5
ライブカタログスナップショット
稼働エンドポイント
5
メソッド
GET
必須パラメータ
7
スキーマ参照
5
{
"platform": "CNET",
"endpoint": "cnet-headlines",
"method": "GET",
"path": "/cnet/headlines",
"auth": "apiKey"
}ユースケース
Collect CNET headlines, sections, and articles through 5 documented Crawlora endpoints, including an author-related route. Covers AI, computing, and deals.
CNETエンドポイントを使えば、「Consumer-tech intelligence」をドキュメント化された入力とJSONレスポンスによる再現可能なAPIリクエストに変えられます。
CNETエンドポイントを使えば、「AI product-news tracking」をドキュメント化された入力とJSONレスポンスによる再現可能なAPIリクエストに変えられます。
CNETエンドポイントを使えば、「EV and deal research」をドキュメント化された入力とJSONレスポンスによる再現可能なAPIリクエストに変えられます。
マネージド実行
以下の数値はすべて、稼働中のCNETエンドポイントカタログから取得しています（エンドポイント5件、ドキュメント化されたリクエストパラメータ10個、公開レスポンススキーマ5件）。DocsとPlaygroundが参照しているカタログと同じものです。
CNETのエンドポイントは5件、5つのリクエストファミリーに分類されています（Article、Author、Headlinesほか2件）。
これらのCNETエンドポイントには10個のリクエストパラメータがドキュメント化されており、うち7個が必須です。統合コードを書く前に入力仕様をすべて確認できます。
5件のCNETエンドポイントのうち5件が実際のサンプルレスポンスを、5件がドキュメント化されたレスポンススキーマを備えています。最初のリクエストの前に実データの形に合わせて実装できます。
CNETのエンドポイントは成功時のスキーマに加えてエラーレスポンス（400、404、429、503）もドキュメント化しています。ブロック、レート制限、レコード欠損は空データではなく型付きのエラーとして返ります。
CNETのエンドポイントは5個のホスト型MCPツールとして提供されており、エージェントは同じパラメータと同じJSON契約のまま、追加の実装なしに同じルートを呼び出せます。
カバレッジマップ
/cnet/article
/cnet/author
/cnet/headlines
/cnet/news
/cnet/sections
エンドポイントカタログ
/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ツール 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ツール 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ツール 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ツール 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ツール cnet_author
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CNETのスクレイピング方法
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. A pull on 2026-10-27 listed 51 topic slugs whose feeds reached back years: ai to August 2023 and medical to May 2021. A second pull on 2026-10-27 re-checked the 51-slug section list and the cross-section feed.
The sections route lists top-level and second-level topics with a recently updated feed, plus ai, deals and tv-and-movies. Examples include smart-home and electric-vehicles; an invalid value returns a 400.
CNET articles are freely readable, so article calls return the full body paragraphs.
Video-only pages and pages without an article body are reported as upstream errors rather than returned empty.
The author route returns name, role, biography, areas of expertise, social links and one page of recent articles.
ai returned 16 stories from 2023-08-28 to 2026-10-26 and medical 15 from 2021-05-04 to 2026-10-20, so a feed can be a thin, long archive instead of a news stream.
The news route returned 25 stories from 2026-09-16 to 2026-10-27 with byline and summary, no image. Slugs include aircraft, auto-tech, automobiles, biology and car-accessories.
On 2026-10-27 the sections route listed 51 slugs, among them ai, aircraft, auto-tech, automobiles, biology, car-accessories, car-apps, car-industry. Use the listed value unchanged and record which slug produced a story; overlapping slugs mean the same article can recur.
CNET lists 51 slugs. On 2026-10-30 the cross-section news route returned 25 stories whose published_at ran from 2025-02-27 to 2026-10-30 00:43 UTC, with bylines and summaries but no images, so it is a curated strip, not strictly recent. The ai section reached back to 2023-08-28 across 16 headlines.
エージェントスキル
Crawlora のエージェントスキルをインストールすると、スクレイパーを書かずに、ドキュメント化された API 経由で CNET のデータを JSON として取得できます。CNET に対応するスキル:
Researches public news from international, regional, business, technology, sports, science, and entertainment publishers through the Crawlora API —…
npx skills add github.com/Crawlora-org/crawlora-skills --skill news-media-researchFAQ
51, including ai, deals and tv-and-movies.
The article route reports an upstream error instead of returning an empty body.
Areas of expertise.
On 2026-10-27 the medical slug reached back to 2021-05-04 in 15 stories.