GET/hbr/articleapiKey2 credits/request
Returns 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.
Required: url.
Sampled 14 Oct 2026: 7 fields returned with a value. In the sample: published_at: 2026-09-10; url: hbr.org; title: 62 characters; authors: 1 entry; description: 132 characters; image_url: hbr.org; body: 9,025 characters.
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GET/hbr/categoriesapiKey1 credit/request
Returns 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.
Takes no parameters.
Sampled 14 Oct 2026: 3 items. Filled in every item: name, categories. In the sample: name: “Subject” and 2 other values; categories: median 39 entries.
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GET/hbr/headlinesapiKey1 credit/request
Returns 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.
Takes no parameters.
Sampled 14 Oct 2026: 8 items. Filled in every item: title, url, summary, content_type, image_url. Not in every item: topic (7), authors (5). In the sample: content_type: Digital Article (4), Audio (2), Sponsor Content (1) and 1 more; topic: “Sales and marketing” and 6 other values; url: hbr.org; title: median 50 characters; authors: median 4 entries; summary: median 75 characters; image_url: hbr.org.
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GET/hbr/topicapiKey1 credit/request
Returns 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.
Required: topic.
Sampled 14 Oct 2026: 5 items. Filled in every item: title, url, description, authors. Not in every item: from_magazine (1). In the sample: title: “Do You Know What Your Customers Value?” and 4 other values; url: hbr.org; from_magazine: true in 1 of 1; authors: median 2 entries; description: “Not according to the data. Here’s how to fix that.” and 4 other values.
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