Indian institutions research
Indian Expressエンドポイントを使えば、「Indian institutions 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。
The Indian Express is the Indian Express Group's national publication. Follow India, cities, explained, business, sports, entertainment, and legal reporting through structured public feeds and article records for Indian institutions research.
Extract Indian politics, judiciary coverage, explainers, investigations, and regional editions from The Indian Express with structured article, section.
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
8
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
8
スキーマ参照
5
{
"platform": "Indian Express",
"endpoint": "indianexpress-news",
"method": "GET",
"path": "/indianexpress/news",
"auth": "apiKey"
}ユースケース
Extract Indian politics, judiciary coverage, explainers, investigations, and regional editions from The Indian Express with structured article, section.
Indian Expressエンドポイントを使えば、「Indian institutions 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。
Indian Expressエンドポイントを使えば、「Indian Express section and headline 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。
Indian Expressエンドポイントを使えば、「Article and byline research for India legal, policy, and regional-news researchers」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Indian Express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8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。
Indian Express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Indian Expressエンドポイントには8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8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Indian Express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。
Indian Express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、403、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。
Indian Express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
/indianexpress/article
/indianexpress/author
/indianexpress/headlines
/indianexpress/news
/indianexpress/sections
エンドポイントカタログ
/indianexpress/articleReturns public The Indian Express article metadata and body paragraphs from a canonical article URL. A story gated behind an Express Premium subscription returns a permission error instead of a truncated or paid body.
MCPツール indianexpress_article
/indianexpress/authorReturns a The Indian Express author's profile by `url`, a canonical `indianexpress.com/profile/author/<slug>/` link: name, image URL, biography and recent articles with title, URL, summary and image. `image_url` and `biography` may be missing, and `published_at` is the page's date text such as `Sep 24, 2026 16:36 IST`, not a timestamp.
MCPツール indianexpress_author
/indianexpress/headlinesReturns the current headlines for one The Indian Express section. `section` is required and takes a slug such as `india`, `explained`, `cities-delhi`, `entertainment-bollywood`, `sports-cricket` or `political-pulse`. Items carry title, URL, summary, author, publication time and image, and the response echoes the `section`.
MCPツール indianexpress_headlines
/indianexpress/newsReturns the current top stories from The Indian Express. It takes no parameters. Each item has its title, URL and, where the outlet gives them, a summary, author, publication time, image URL and `type`. Use the headlines endpoint to read one section.
MCPツール indianexpress_news
/indianexpress/sectionsLists the The Indian Express section slugs that the headlines endpoint accepts, including `politics`, `india`, `explained`, `cities-mumbai`, `entertainment-tamil`, `lifestyle-health` and `smart-stocks`. Each entry has a `slug`, a display `name` and a section `url`.
MCPツール indianexpress_sections
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Indian Expressのスクレイピング方法
The Indian Express combines Indian national reporting with investigations, judiciary coverage, regional editions, and its Explained format. These formats are particularly useful for institutional research: an investigation may reveal a new finding, while an explainer supplies background on an existing policy or court matter. Keep format, city, institution, and date alongside every article so those roles remain clear in downstream analysis. On 2026-10-25 the documented list held more than 50 RSS slugs, among them ten metro city desks (cities-delhi to cities-bangalore), entertainment split by language and upsc-current-affairs. That last feed returned 200 items from 2026-09-11 to 2026-10-25, 178 with a named author, with article URLs under /article/upsc-current-affairs/ paths such as upsc-essentials, mixing daily quizzes, Knowledge Nugget explainers and ethics case studies.
/indianexpress/sections lists cities-delhi, cities-mumbai, cities-chennai, cities-hyderabad and more, plus entertainment-tamil, entertainment-telugu and entertainment-malayalam. A city desk and the national india slug cover different stories, so keep them as separate feeds.
upsc-current-affairs returned 200 items across six weeks on 2026-10-25, far more than a typical section call. Page by published_at and label each item by format: weekly quizzes, Knowledge Nugget explainers and ethics case studies are study material, not news.
22 of the 200 items had no author field. Fall back to the article page, and do not group the blanks under one contributor.
Pass a canonical public URL to /indianexpress/article and use /indianexpress/author for the named contributor when available. Treat an Explained article as analysis of an issue rather than a newly occurring event, and keep the opinion and long-reads slugs as separate content types.
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 Indian Express のデータを JSON として取得できます。Indian Express 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
200 items on 2026-10-25, spanning 2026-09-11 to 2026-10-25, with 178 carrying an author. Paginate by date rather than assuming a fixed window.
No. The sample was quizzes, Knowledge Nugget explainers and ethics case studies aimed at exam preparation. Tag them as study content and keep them out of event counts.
ten: delhi, mumbai, kolkata, pune, chandigarh, ahmedabad, lucknow, chennai, hyderabad and bangalore, each prefixed with cities-.
No self-serve API exists. Its only documented data-access routes are enterprise deals — a reported 2026 content-licensing agreement with OpenAI for ChatGPT discovery and participation in Google News Showcase India — not programmatic access for outside developers.