Management research
Use Harvard Business Review endpoints to turn management research into repeatable API requests with documented inputs and JSON responses.
Turn Harvard Business Review's public taxonomy, headline stream, topic archives, and articles into normalized JSON for management research and content monitoring.
Get Harvard Business Review's topic taxonomy, latest headlines, topic archives, and full article content as structured JSON.
Endpoint families
4
Documented params
6
Examples
4
Live catalog snapshot
Active endpoints
4
Methods
GET
Required params
6
Schema refs
4
{
"platform": "Harvard Business Review",
"endpoint": "hbr-article",
"method": "GET",
"path": "/hbr/article",
"auth": "apiKey"
}Use cases
Get Harvard Business Review's topic taxonomy, latest headlines, topic archives, and full article content as structured JSON.
Use Harvard Business Review endpoints to turn management research into repeatable API requests with documented inputs and JSON responses.
Use Harvard Business Review endpoints to turn content monitoring into repeatable API requests with documented inputs and JSON responses.
Use Harvard Business Review endpoints to turn editorial aggregation into repeatable API requests with documented inputs and JSON responses.
Managed execution
Every figure below is read from the live Harvard Business Review endpoint catalog — 4 endpoints, 6 documented request parameters, and 4 published response schemas — the same catalog Docs and Playground run against.
4 documented Harvard Business Review endpoints, grouped into 4 request families — Article, Categories and Headlines, plus 1 more.
6 request parameters are documented across those Harvard Business Review endpoints, 6 of them required — the full input contract is public before you write any integration code.
4 of the 4 Harvard Business Review endpoints ship a recorded example response, and 4 carry a documented response schema — you can code against the real JSON before the first request.
Harvard Business Review 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.
4 hosted MCP tools back the Harvard Business Review endpoints, so an agent can call the same routes with the same parameters and the same JSON contract, with no custom glue.
Coverage map
/hbr/article
/hbr/categories
/hbr/headlines
/hbr/topic
Endpoint catalog
/hbr/articleReturns a public Harvard Business Review article's metadata and full body text from a canonical article URL. from_magazine flags articles originally published in the print magazine.
MCP tool hbr_article
/hbr/categoriesReturns Harvard Business Review's full public topic taxonomy, grouped into Subject, Industry, and Geography. Use a topic's slug directly as the topic parameter on hbr-topic.
MCP tool hbr_categories
/hbr/headlinesReturns the latest items from Harvard Business Review's site-wide The Latest stream, with no parameters. Each item has its `title`, `url`, `summary`, `topic`, `content_type` (for example Digital Article), and `authors` and an `image_url` when available. Items carry no publication time.
MCP tool hbr_headlines
/hbr/topicReturns the newest public Harvard Business Review articles on one topic archive page. topic is a "<group>/<slug>" value -- see hbr-categories for the full known value space.
MCP tool hbr_topic
Related APIs
Media & Streaming
Follow German football from the Bundesliga down to the lowest Kreisklasse. Discover competitions in all 22 federations, then read matchdays, standings, scorers, clubs, teams, and players from the DFB's own amateur-football portal.
Media & Streaming
Browse Sportskeeda's sports and entertainment coverage, community wikis, quizzes, and fan games with the catalog's current slugs and filter limits.
Media & Streaming
Research streaming catalogs, title availability, providers, offers, seasons, episodes, and release changes from JustWatch with normalized JSON.
How to scrape Harvard Business Review
HBR's own taxonomy is large: /hbr/categories returned three groups on 2026-09-24 — roughly 300 Subject tags running from Accounting to Workspaces Design, 39 Industry tags, and 8 Geography regions — each usable as the topic parameter on /hbr/topic. The site-wide /hbr/headlines feed mixes formats rather than sticking to articles: of eight items pulled that day, one was a podcast episode and one was sponsor content, each carrying its own topic label instead of a category slug. Crawlora turns the taxonomy, the latest stream, topic archives, and full article text into structured JSON.
Call /hbr/categories for the full Subject, Industry, and Geography taxonomy — hundreds of slugs in total, each ready to pass to /hbr/topic.
Call /hbr/headlines for the current site-wide mix. A 2026-09-24 pull returned eight items spanning a Fixable podcast episode, a sponsored Uber for Business placement, and several Digital and Magazine articles.
Pass a discovered slug such as subject/generative-ai to /hbr/topic for that archive's newest articles.
Pass a canonical hbr.org article URL to /hbr/article for the full plain-text body plus metadata, including a from_magazine flag for pieces that first ran in print.
Agent Skills
安装 Crawlora agent skill,你的智能体即可通过文档化的 API 以 JSON 形式获取 Harvard Business Review 数据,无需编写爬虫。以下 skill 覆盖 Harvard Business Review:
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
Large enough that hardcoding it isn't practical — a 2026-09-24 call to /hbr/categories returned close to 300 Subject slugs alone (everything from Accounting and Burnout to Workspaces Design), plus 39 Industry slugs and 8 Geography regions. Call it live rather than assuming a fixed list.
No. Each item carries a content_type field, and a same-day pull mixed Digital Article and Magazine Article entries with an Audio podcast episode and a Sponsor Content placement — the last two have no author byline, so treat content_type as a required check before assuming a headline is an authored article.
An explicit UTC offset like 2026-09-23T12:15:43.000+00:00, rather than a Z-suffixed value — worth normalizing if you're comparing timestamps across platforms in this catalog that do use Z.
It marks pieces that ran in HBR's print magazine first — confirmed on a 2026-09-24 pull of /hbr/topic for subject/generative-ai, where an HCLTech CEO interview came back with from_magazine: true while four sibling Digital Article entries in the same response omitted the field. The full body text is still returned either way.
No. These endpoints read hbr.org's public pages — no login cookie, paid-account state, or publisher API key involved. Crawlora API authentication is the only credential in play.