Technology purchase-intent analysis
Usa los endpoints de TechRadar para convertir technology purchase-intent analysis en solicitudes API repetibles con inputs documentados y respuestas JSON.
TechRadar is Future's consumer-technology publication. Follow phones, computing, televisions, cameras, homes, deals, and reviews through structured public feeds and article records for technology purchase-intent analysis.
Extract consumer-tech reviews, deals, how-tos, buying guides, computing, and mobile coverage from TechRadar with structured article, section, headline, news.
Familias de endpoints
5
Parámetros documentados
10
Ejemplos
5
Snapshot en vivo del catálogo
Endpoints activos
5
Métodos
GET
Parámetros obligatorios
7
Referencias de esquema
5
{
"platform": "TechRadar",
"endpoint": "techradar-news",
"method": "GET",
"path": "/techradar/news",
"auth": "apiKey"
}Casos de uso
Extract consumer-tech reviews, deals, how-tos, buying guides, computing, and mobile coverage from TechRadar with structured article, section, headline, news.
Usa los endpoints de TechRadar para convertir technology purchase-intent analysis en solicitudes API repetibles con inputs documentados y respuestas JSON.
Usa los endpoints de TechRadar para convertir techradar section and headline tracking en solicitudes API repetibles con inputs documentados y respuestas JSON.
Usa los endpoints de TechRadar para convertir article and byline research for consumer-tech, retail, and product-research teams en solicitudes API repetibles con inputs documentados y respuestas JSON.
Ejecución gestionada
Cada cifra de abajo se lee directamente del catálogo de endpoints en vivo de TechRadar — 5 endpoints, 10 parámetros de solicitud documentados y 5 esquemas de respuesta publicados — el mismo catálogo contra el que corren Docs y Playground.
5 documented TechRadar endpoints, grouped into 5 request families — Article, Author and Headlines, plus 2 more.
10 request parameters are documented across those TechRadar endpoints, 7 of them required — the full input contract is public before you write any integration code.
5 of the 5 TechRadar endpoints ship a recorded example response, and 5 carry a documented response schema — you can code against the real JSON before the first request.
TechRadar 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.
5 hosted MCP tools back the TechRadar endpoints, so an agent can call the same routes with the same parameters and the same JSON contract, with no custom glue.
Mapa de cobertura
/techradar/article
/techradar/author
/techradar/headlines
/techradar/news
/techradar/sections
Catálogo de endpoints
/techradar/articleReturns a TechRadar article by canonical `url` on `techradar.com`: title, description, section, authors, publication and update times, lead image, the body `paragraphs` and a `paywalled` flag.
Herramienta MCP techradar_article
/techradar/authorReturns a TechRadar author's profile, looked up by `slug` (for example `tom-power`) or canonical `url`, which may end in `/page/<n>`; exactly one is required. `page` (1-based, default 1) overrides any page in `url`. The response has the name, `job_title`, biography, social links, one page of articles and `has_next_page`.
Herramienta MCP techradar_author
/techradar/headlinesReturns the latest TechRadar stories for one section hub. `section` is required and takes one of 25 slugs such as `computing`, `phones`, `audio`, `gaming`, `deals`, `reviews`, `news` or `vpn`. Each item has its title, URL, summary, publication time, author and image.
Herramienta MCP techradar_headlines
/techradar/newsReturns TechRadar's latest top stories across the site. Takes no parameters, and `techradar-headlines` narrows by section instead. Each item has its title, URL, summary, publication time, author and image.
Herramienta MCP techradar_news
/techradar/sectionsLists the 25 top-level TechRadar sections that `techradar-headlines` accepts, such as `computing`, `phones`, `best`, `deals` and `how-to`. Each entry has a `slug`, a display `name` and the section page `url`.
Herramienta MCP techradar_sections
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Cómo hacer scraping de TechRadar
TechRadar is Future's consumer technology publication, with reviews, buying guides, how-tos, deals, and coverage of phones, computing, televisions, cameras, and homes. A product mention is not always a review, and a discounted item is not necessarily an editorial recommendation. Preserve article format and product model alongside the publication date before using this material in commerce or purchase-intent analysis.
Call /techradar/sections to inspect the publisher's current taxonomy. Choose the device category or editorial section first. A television buying guide and a mobile software update should enter separate product research streams.
Use /techradar/headlines for a selected section and /techradar/news for the broader current stream. Collect current headlines for the category and flag reviews, deals, and instructions apart from straight product news. Retail offers can expire quickly.
Pass a canonical public URL to /techradar/article and use /techradar/author for the named contributor when available. Fetch the article and author for a named model. Save test context, stated price or market where present, and the source date before extracting a verdict.
Preguntas frecuentes
It can surface reviews and buying guides, but classify the individual article before treating a product as recommended. A news item, deal listing, and tested review carry different editorial evidence and may cover different model variants.
Keep the article URL, collection time, region, retailer, and quoted price when present. Deal copy is time sensitive, so verify current availability at the merchant before presenting an old article's price as current.
Record exact product model, tested market, review date, and described test conditions. A buying guide can summarize several devices, but each dedicated review should remain a separate source record.