Awards and cultural-trend analysis
Use Vanity Fair endpoints to turn awards and cultural-trend analysis into repeatable API requests with documented inputs and JSON responses.
Media & Streaming5 active endpointsapiKey
Vanity Fair Scraper API
Vanity Fair is Condé Nast's culture and journalism magazine. Follow Hollywood, awards, politics, culture, style, and magazine features through structured public feeds and article records for awards and cultural-trend analysis.
Extract entertainment, awards, politics, profiles, fashion, and long-form features from Vanity Fair with structured article, section, headline, news, and author data.
Endpoint families
5
Documented params
8
Examples
5
Live catalog snapshot
Vanity Fair coverage
Active endpoints
5
Methods
GET
Required params
8
Schema refs
5
Article1
Author1
Headlines1
News1
{
"platform": "Vanity Fair",
"endpoint": "vanityfair-news",
"method": "GET",
"path": "/vanityfair/news",
"auth": "apiKey"
}Use cases
Workflows that fit Vanity Fair
Extract entertainment, awards, politics, profiles, fashion, and long-form features from Vanity Fair with structured article, section, headline, news, and author data.
Vanity Fair section and headline tracking
Use Vanity Fair endpoints to turn vanity fair section and headline tracking into repeatable API requests with documented inputs and JSON responses.
Article and byline research for entertainment, fashion, and culture researchers
Use Vanity Fair endpoints to turn article and byline research for entertainment, fashion, and culture researchers 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 Vanity Fair 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 Vanity Fair endpoints, grouped into 5 request families — Article, Author and Headlines, plus 2 more.
Published request surface
8 request parameters are documented across those Vanity Fair endpoints, 8 of them required — the full input contract is public before you write any integration code.
Known response shape
5 of the 5 Vanity Fair 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
Vanity Fair endpoints document their error responses (400, 403, 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 Vanity Fair 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
/vanityfair/article
GETapiKey
1 endpoints
Author
/vanityfair/author
GETapiKey
1 endpoints
Headlines
/vanityfair/headlines
GETapiKey
1 endpoints
News
/vanityfair/news
GETapiKey
1 endpoints
Sections
/vanityfair/sections
GETapiKey
Endpoint catalog
Vanity Fair API endpoints
GETapiKeyexample
/vanityfair/articleGet Vanity Fair article content
Returns public Vanity Fair article metadata and body paragraphs from a canonical article URL. A story Vanity Fair marks as subscriber-only in its own page metadata is reported as a permission error instead of a partial or fabricated body.
Sampled 14 Oct 2026: 9 of 9 fields returned with a value. published_at: 2026-09-23; section: “culture”.
MCP tool vanityfair_article
url:queryx-api-key:header
GETapiKeyexample
/vanityfair/authorGet a Vanity Fair contributor profile
Returns a Vanity Fair contributor profile from their canonical `url` (`www.vanityfair.com/contributor/<slug>`, required). The response has the name, job title when present, biography, headshot, social links and recent articles with title, URL and publication time.
Sampled 14 Oct 2026: 17 items, 2 fields filled in every item. url: vanityfair.com; title: median 53 characters.
MCP tool vanityfair_author
url:queryx-api-key:header
GETapiKeyexample
/vanityfair/headlinesGet Vanity Fair section headlines
Lists the current headlines for one Vanity Fair section. `section` is required and takes `hollywood`, `movies`, `television`, `award-season`, `what-is-cinema`, `culture`, `politics`, `business`, `style`, `beauty`, `fashion` or `royals`. Each item has its title and URL.
Sampled 14 Oct 2026: 19 items, 2 fields filled in every item. url: vanityfair.com; title: median 69 characters.
MCP tool vanityfair_headlines
section:queryx-api-key:header
GETapiKeyexample
/vanityfair/newsGet Vanity Fair top stories
Returns the latest Vanity Fair top stories and takes no parameters. Each item has its title, canonical URL, summary, author, publication time and lead image.
Sampled 14 Oct 2026: 27 items, 5 fields filled in every item. published_at: 2026-10-06 to 2026-10-13; url: vanityfair.com.
MCP tool vanityfair_news
x-api-key:header
GETapiKeyexample
/vanityfair/sectionsGet Vanity Fair sections
Returns the Vanity Fair section inventory: Hollywood (plus its Movies, Television, and Award Season sub-verticals), Arts & Culture, Politics, Business, and Style (plus its Beauty, Fashion, and Royals sub-verticals), each linking to its public listing page.
Sampled 14 Oct 2026: 12 items, 3 fields filled in every item. name: “Hollywood” and 11 other values; url: vanityfair.com.
MCP tool vanityfair_sections
x-api-key:header
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How to scrape Vanity Fair
Extract Vanity Fair data in 6 steps
Vanity Fair is Condé Nast's culture and journalism magazine, spanning Hollywood, awards, politics, profiles, style, and long-form features. Its entertainment pieces can cover the same performer as a political profile or fashion story, but their editorial purposes differ. Keep the feature type and byline with every record before using coverage volume as a measure of an award season or cultural trend. On 2026-10-25 the documented list held 12 slugs. The what-is-cinema feed returned more than 50 items, each with only a title and a URL (no author, date or summary), covering the Venice, Telluride, Toronto and New York film festivals and the Academy Museum, plus two Rolex partnership features whose URLs begin /story/what-is-cinema-rolex-. A second pull on 2026-10-27 re-checked the 12-slug section list and the cross-section feed.
- Step 1
Expect title-and-URL records
The what-is-cinema items had no author, published_at or summary. Fetch each article for the date, byline and format before storing it as a dated record.
- Step 2
Identify series and sponsored pieces by URL
Two items were Rolex mentoring and partnership features at /story/what-is-cinema-rolex-.... Flag URLs with that prefix as partner content to review, so they do not enter editorial counts unexamined.
- Step 3
Tie festival coverage to the event
The feed mixed Venice 2026 winners, a TIFF tribute and a Toronto preview with New York Film Festival premieres. Take the event from the article and attach the date there.
- Step 4
Budget 10,400 characters per article
Pass a canonical public URL to /vanityfair/article and use /vanityfair/author for the named contributor when available. Keep the feature type and byline with every record before using coverage volume as a measure of an award season.
- Step 5
Pick from 12 feeds, hollywood first
On 2026-10-27 the sections route listed 12 slugs, among them hollywood, movies, television, award-season, what-is-cinema, culture, politics, business. Send slugs verbatim and keep the slug with each record, since a story can appear under more than one of them.
- Step 6
The strip spans three days
The cross-section news route returned 29 stories from 2026-10-26 14:15 to 2026-10-29 20:03 UTC, with bylines on 28, summaries on 29 and no images. Section headlines for hollywood and movies carried only title and URL, and a 2026-10-30 article sample was long: 31 paragraphs (about 10,000 characters).
Agent skills
Use Vanity Fair data from your coding agent
Install a Crawlora agent skill and your agent can pull Vanity Fair data as JSON through the documented API, without writing a scraper. These skills cover Vanity Fair:
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 Vanity Fair: common questions
Why do Vanity Fair feed items have no date?
The what-is-cinema items on 2026-10-25 carried only a title and a URL. Open the article for the publication date.
What is the what-is-cinema slug?
A series feed rather than a topic. Its items covered festivals, interviews and the Academy Museum, plus Rolex partnership features identified by URL prefix.
How many Vanity Fair slugs are documented?
12, from hollywood and award-season to politics, style and royals.