Innovation and leadership research
Use Fast Company endpoints to turn innovation and leadership research into repeatable API requests with documented inputs and JSON responses.
Business & Market Intelligence5 active endpointsapiKey
Fast Company scraping API
Research innovation, leadership, work, design, AI, product design, UX, and business impact through Fast Company coverage.
Collect Fast Company headlines, sections, and articles through 5 documented Crawlora endpoints, including an author-related route. Fast Company's public topics include Work Life, Co.Design, leadership, impact, AI, generative AI, AI at Work, product design, and UX; on 2026-09-26 its news feed covered nor'easter-driven event cancellations.
Endpoint families
5
Documented params
8
Examples
5
Live catalog snapshot
Fast Company coverage
Active endpoints
5
Methods
GET
Required params
8
Schema refs
5
Article1
Author1
Headlines1
News1
{
"platform": "Fast Company",
"endpoint": "fastcompany-headlines",
"method": "GET",
"path": "/fastcompany/headlines",
"auth": "apiKey"
}Use cases
Workflows that fit Fast Company
Collect Fast Company headlines, sections, and articles through 5 documented Crawlora endpoints, including an author-related route. Fast Company's public topics include Work Life, Co.Design, leadership, impact, AI, generative AI, AI at Work, product design, and UX; on 2026-09-26 its news feed covered nor'easter-driven event cancellations.
Workplace AI monitoring
Use Fast Company endpoints to turn workplace ai monitoring into repeatable API requests with documented inputs and JSON responses.
Design and UX trend tracking
Use Fast Company endpoints to turn design and ux trend tracking into repeatable API requests with documented inputs and JSON responses.
Managed execution
How Crawlora handles this platform
Every figure below is read from the live Fast Company endpoint catalog — 5 endpoints, 8 documented request parameters, and 5 published response schemas — the same catalog Docs and Playground run against.
Documented endpoint coverage
5 documented Fast Company endpoints, grouped into 5 request families — Article, Author and Headlines, plus 2 more.
Published request surface
8 request parameters are documented across those Fast Company endpoints, 8 of them required — the full input contract is public before you write any integration code.
Known response shape
5 of the 5 Fast Company endpoints ship a recorded example response, and 5 carry a documented response schema — you can code against the real JSON before the first request.
Documented failure modes
Fast Company 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.
Agent-callable MCP tools
5 hosted MCP tools back the Fast Company endpoints, so an agent can call the same routes with the same parameters and the same JSON contract, with no custom glue.
Coverage map
Know what the API can collect before integrating
1 endpoints
Article
/fastcompany/article
GETapiKey
1 endpoints
Author
/fastcompany/author
GETapiKey
1 endpoints
Headlines
/fastcompany/headlines
GETapiKey
1 endpoints
News
/fastcompany/news
GETapiKey
1 endpoints
Sections
/fastcompany/sections
GETapiKey
Endpoint catalog
Fast Company API endpoints
GETapiKeyexample
/fastcompany/headlinesGet Fast Company section headlines
Returns fresh headlines from one Fast Company section or topic's public RSS feed. section accepts any slug returned by GET /fastcompany/sections (78 values, e.g. "technology" or "artificial-intelligence").
Sampled 14 Oct 2026: 20 items, 6 fields filled in every item. published_at: 2026-10-10 to 2026-10-13; url: fastcompany.com.
MCP tool fastcompany_headlines
section:queryx-api-key:header
GETapiKeyexample
/fastcompany/newsGet Fast Company top stories
Returns the current Fast Company top stories. Each item has its title, canonical URL, summary, publication time, author and image. Takes no parameters, so there is no section or paging control.
Sampled 14 Oct 2026: 20 items, 6 fields filled in every item. published_at: 2026-10-13; url: fastcompany.com.
MCP tool fastcompany_news
x-api-key:header
GETapiKeyexample
/fastcompany/sectionsGet Fast Company sections
Returns the Fast Company section/topic inventory: the site's six primary verticals (Tech, Work Life, News, Design, Leadership, Impact) plus every topic tag accepted by GET /fastcompany/headlines (78 values total, too many to enumerate inline -- see that endpoint for the full, current, live-verified list), each linking to its public RSS feed.
Sampled 14 Oct 2026: 78 items, 3 fields filled in every item. name: “News” and 76 other values; url: fastcompany.com.
MCP tool fastcompany_sections
x-api-key:header
GETapiKeyexample
/fastcompany/articleGet Fast Company article content
Returns public Fast Company article metadata and body paragraphs from a canonical article URL. It does not bypass authentication or access controls.
Sampled 14 Oct 2026: 8 of 8 fields returned with a value. published_at: 2026-09-23; section: “Tech”.
MCP tool fastcompany_article
url:queryx-api-key:header
GETapiKeyexample
/fastcompany/authorGet a Fast Company contributor profile
Returns a Fast Company contributor's name, biography, and recent articles from a canonical contributor URL. The biography is omitted if the contributor's profile page cannot be loaded. It does not bypass authentication or access controls.
Sampled 14 Oct 2026: 20 items, 6 fields filled in every item. published_at: 2024-02-19 to 2026-09-13; url: fastcompany.com.
MCP tool fastcompany_author
url:queryx-api-key:header
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How to scrape Fast Company
Extract Fast Company data in 8 steps
Fast Company is especially useful when design and workplace coverage need to stay distinct from general technology or company news. Work Life, Co.Design, leadership, impact, AI, generative AI, AI at Work, product design, and UX are distinct public topics. Use Co.Design for design practice and Work Life for management or workplace studies; a broad AI search can pull both into one ambiguous bucket. Its 2026-09-26 feed covered event cancellations linked to a nor'easter. Store the topic, headline, byline, date, and article URL so an operational news item remains distinguishable from evergreen leadership guidance. A pull on 2026-10-27 listed 78 sections, with the news feed covering three days and climate-change about five weeks. A second pull on 2026-10-27 re-checked the 78-slug section list and the cross-section feed.
- Step 1
Combine verticals and topic tags
The sections route returns the six primary verticals (Tech, Work Life, News, Design, Leadership, Impact) plus topic tags, 78 values in all, such as technology and artificial-intelligence.
- Step 2
Pass any returned slug
The headlines route accepts any slug the sections route returns; the news route has no section or paging control.
- Step 3
Respect access
Article calls return public metadata and body paragraphs from a canonical URL and do not bypass authentication or access controls.
- Step 4
Expect an optional biography
The author route returns name, biography and recent articles from a canonical contributor URL; the biography is omitted if the profile page cannot be loaded.
- Step 5
Pick between lead and topic feeds
news returned 20 stories from 2026-10-23 14:30 UTC to 2026-10-26 23:00, and climate-change 15 from 2026-09-21 to 2026-10-26. The news route returned 19.
- Step 6
Use the large slug set
Slugs include technology, work-life, co-design, leadership and impact. All sampled rows had byline, summary and image.
- Step 7
Choose among 78 section slugs
On 2026-10-27 the sections route listed 78 slugs, among them news, technology, work-life, co-design, leadership, impact, artificial-intelligence, generative-ai. Send slugs verbatim and keep the slug with each record, since a story can appear under more than one of them.
- Step 8
Read 17 stories spanning 8 hours
The cross-section news route returned 19 stories from 2026-10-26 14:46 UTC to 2026-10-26 23:00 UTC, with bylines on 19 of 19, summaries on 19 of 19 and images on 19 of 19. Poll it for new items, then enrich them from a section feed.
Agent skills
Use Fast Company data from your coding agent
Install a Crawlora agent skill and your agent can pull Fast Company data as JSON through the documented API, without writing a scraper. These skills cover Fast Company:
News media research
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-research
FAQ
Scraping Fast Company: common questions
How many Fast Company slugs are accepted?
78 values: six primary verticals plus topic tags.
Does the Fast Company news route accept a section?
No. It takes no parameters; use headlines for a section.
When is a Fast Company biography missing?
When the contributor's profile page cannot be loaded.
Does Fast Company expose many topic feeds?
Yes. The 2026-10-27 list held 78 slugs, from news and technology to climate-change and leadership.