Technology purchase-intent analysis
Use TechRadar endpoints to turn technology purchase-intent analysis into repeatable API requests with documented inputs and JSON responses.
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媒体与流媒体5 active endpointsapiKey
TechRadar Scraper API
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.
Endpoint families
5
Documented params
10
Examples
5
Live catalog snapshot
TechRadar coverage
Active endpoints
5
Methods
GET
Required params
7
Schema refs
5
Article1
Author1
Headlines1
News1
{
"platform": "TechRadar",
"endpoint": "techradar-news",
"method": "GET",
"path": "/techradar/news",
"auth": "apiKey"
}Use cases
Workflows that fit TechRadar
Extract consumer-tech reviews, deals, how-tos, buying guides, computing, and mobile coverage from TechRadar with structured article, section, headline, news.
TechRadar section and headline tracking
Use TechRadar endpoints to turn techradar section and headline tracking into repeatable API requests with documented inputs and JSON responses.
Article and byline research for consumer-tech, retail, and product-research teams
Use TechRadar endpoints to turn article and byline research for consumer-tech, retail, and product-research teams 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 TechRadar endpoint catalog — 5 endpoints, 10 documented request parameters, and 5 published response schemas — the same catalog Docs and Playground run against.
Documented endpoint coverage
5 documented TechRadar endpoints, grouped into 5 request families — Article, Author and Headlines, plus 2 more.
Published request surface
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.
Known response shape
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.
Documented failure modes
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.
Agent-callable MCP tools
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.
Coverage map
Know what the API can collect before integrating
1 endpoints
Article
/techradar/article
GETapiKey
1 endpoints
Author
/techradar/author
GETapiKey
1 endpoints
Headlines
/techradar/headlines
GETapiKey
1 endpoints
News
/techradar/news
GETapiKey
1 endpoints
Sections
/techradar/sections
GETapiKey
Endpoint catalog
TechRadar API endpoints
GETapiKeyexample
/techradar/articleGet TechRadar article content
Returns 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.
MCP tool techradar_article
url:queryx-api-key:header
GETapiKeyexample
/techradar/authorGet a TechRadar author profile
Returns 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`.
MCP tool techradar_author
slug:queryurl:querypage:query+1 more
GETapiKeyexample
/techradar/headlinesGet TechRadar section headlines
Returns 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.
MCP tool techradar_headlines
section:queryx-api-key:header
GETapiKeyexample
/techradar/newsGet TechRadar top stories
Returns 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.
MCP tool techradar_news
x-api-key:header
GETapiKeyexample
/techradar/sectionsGet TechRadar sections
Lists 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`.
MCP tool techradar_sections
x-api-key:header
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How to scrape TechRadar
Extract TechRadar data in 6 steps
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. On 2026-10-25 the documented list held 25 slugs mixing products (phones, tablets, vpn), formats (best, reviews, versus, how-to) and commerce (deals, seasonal-sales). The vpn feed returned 10 items, eight of them dated 2026-10-23, and included evergreen guides marked Updated, a Proton VPN review and Black Friday VPN deals already live. A second pull on 2026-10-27 re-checked the 25-slug section list and the cross-section feed.
- Step 1
Choose product or format, not both
/techradar/sections mixes product slugs (vpn, phones, televisions) with format slugs (best, reviews, versus, deals). A product feed carries all formats, while a format feed carries many products.
- Step 2
Expect refreshed evergreen pages
The vpn sample led with a best-cheap-VPN guide whose summary starts with Updated, alongside a Proton VPN review and Black Friday previews. A new published_at on an evergreen page is a refresh, so keep the URL as the identity.
- Step 3
Treat deals as expiring
A Black Friday VPN story dated 2026-10-23 and a NordVPN deal of the week from 2026-10-22 were both live. Store collection time with every price or offer.
- Step 4
Fetch the article and author
Pass a canonical public URL to /techradar/article and use /techradar/author for the named contributor when available, then separate news, reviews and sponsored-style deals before analysis.
- Step 5
Twenty-five slugs mix topics and formats
TechRadar lists 25 slugs (ai-platforms-assistants, audio, best, cameras, computing, deals, gaming, how-to, how-to-watch, news, opinion, phones). On 2026-10-30 ai-platforms-assistants returned 10 headlines with 9 in the 50-story strip while audio returned 10 from 2026-10-27 to 2026-10-29 with 2 in the strip, so topic slugs overlap the strip unevenly.
- Step 6
Read 50 stories spanning 15 hours
The cross-section news route returned 50 stories from 2026-10-26 12:59 UTC to 2026-10-27 07:15 UTC, with bylines on 50 of 50, summaries on 50 of 50 and images on 50 of 50. Poll it for new items, then enrich them from a section feed.
Agent Skills
在你的编程智能体中使用 TechRadar 数据
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 TechRadar 数据，无需编写爬虫。以下 skill 覆盖 TechRadar：
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 TechRadar: common questions
Why does an old TechRadar guide appear as new?
Evergreen guides are republished with an Updated marker. In the 2026-10-25 vpn sample the best-cheap-VPN guide carried a 2026-10-23 timestamp.
What is the difference between the vpn and deals slugs?
vpn is a product vertical holding news, reviews and guides; deals is a commerce format across products. Query both if you need offers.
How active is the vpn feed?
It returned 10 items, eight from 2026-10-23, so a single day can fill the sample. Page by date, not count.