Seattle-area intelligence
Mit Seattle Times-Endpunkten verwandelst du seattle-area intelligence in wiederholbare API-Requests mit dokumentierten Inputs und JSON-Antworten.
Seattle Times is an independent Seattle regional newspaper. Follow Seattle, Washington state, environment, education, business, and sports desks through structured public feeds and article records for Seattle-area intelligence.
Extract Pacific Northwest government, business, environment, education, and sports reporting from Seattle Times with structured article, section, headline.
Endpunkt-Familien
5
Dokumentierte Parameter
9
Beispiele
5
Live-Katalog-Snapshot
Aktive Endpunkte
5
Methoden
GET
Pflichtparameter
7
Schema-Referenzen
5
{
"platform": "Seattle Times",
"endpoint": "seattletimes-news",
"method": "GET",
"path": "/seattletimes/news",
"auth": "apiKey"
}Use Cases
Extract Pacific Northwest government, business, environment, education, and sports reporting from Seattle Times with structured article, section, headline.
Mit Seattle Times-Endpunkten verwandelst du seattle-area intelligence in wiederholbare API-Requests mit dokumentierten Inputs und JSON-Antworten.
Mit Seattle Times-Endpunkten verwandelst du seattle times section and headline tracking in wiederholbare API-Requests mit dokumentierten Inputs und JSON-Antworten.
Mit Seattle Times-Endpunkten verwandelst du article and byline research for pacific northwest civic and commercial researchers in wiederholbare API-Requests mit dokumentierten Inputs und JSON-Antworten.
Managed Execution
Jede Zahl unten stammt direkt aus dem Live-Seattle Times-Endpunktkatalog — 5 Endpunkte, 9 dokumentierte Request-Parameter und 5 veröffentlichte Response-Schemas — demselben Katalog, gegen den auch Docs und Playground laufen.
5 documented Seattle Times endpoints, grouped into 5 request families — Article, Author and Headlines, plus 2 more.
9 request parameters are documented across those Seattle Times endpoints, 7 of them required — the full input contract is public before you write any integration code.
5 of the 5 Seattle Times endpoints ship a recorded example response, and 5 carry a documented response schema — you can code against the real JSON before the first request.
Seattle Times endpoints document their error responses (400, 404 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 Seattle Times endpoints, so an agent can call the same routes with the same parameters and the same JSON contract, with no custom glue.
Abdeckungskarte
/seattletimes/article
/seattletimes/author
/seattletimes/headlines
/seattletimes/news
/seattletimes/sections
Endpunktkatalog
/seattletimes/articleReturns public Seattle Times story metadata and body paragraphs from a canonical story URL. The site's metered paywall is a client-side overlay: anonymous requests receive the full body, which is returned as-is.
MCP-Tool seattletimes_article
/seattletimes/authorReturns one Seattle Times author's public profile: name, bio, newsroom-published email and X/Twitter link when listed, and their most recent stories.
MCP-Tool seattletimes_author
/seattletimes/headlinesReturns about 30 to 35 of the latest Seattle Times stories for one section. `section` is required and takes a section slug such as `seattle-news`, `politics`, `boeing-aerospace`, `mariners`, `seahawks` or `obituaries`. Each item has its title, canonical URL without tracking parameters, summary, publication time and author. Only the newest page is available.
MCP-Tool seattletimes_headlines
/seattletimes/newsReturns about 30 of the newest Seattle Times stories across all sections, including Associated Press wire stories. Takes no parameters. Each item has its title, canonical URL without tracking parameters, summary, publication time, author byline and lead image.
MCP-Tool seattletimes_news
/seattletimes/sectionsReturns the public Seattle Times section inventory: every category in the site's navigation and RSS feed list that publishes a live feed.
MCP-Tool seattletimes_sections
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So scrapst du Seattle Times
The Seattle Times is an independent regional newspaper for Seattle and the Pacific Northwest. Its public coverage connects city and Washington state government with education, business, environment, and sports. That regional scope is valuable for civic research: a statewide policy story and a Seattle neighborhood issue can appear near each other in a general feed. Capture the geographic level and reporting desk before counting stories by topic.
Call /seattletimes/sections to inspect the publisher's current taxonomy. Find the Seattle, Washington, education, environment, and business categories relevant to the project, rather than treating the front-page mix as a single civic beat.
Use /seattletimes/headlines for a selected section and /seattletimes/news for the broader current stream. Pull section headlines for an issue such as schools or climate and timestamp each collection. Compare coverage across desks only after accounting for their distinct audiences.
Pass a canonical public URL to /seattletimes/article and use /seattletimes/author for the named contributor when available. Open the canonical story to retain the article body, dateline when present, and reporter attribution. Read place names from the piece before assigning county or city tags.
Deduplicate stories by canonical URL, keep the collection date and publisher section, and retain the article's original publication time. For Seattle-area intelligence, compare like editorial formats and geographic scopes rather than treating every item in the latest feed as equivalent.
FAQ
Its state and metro desks are useful starting points. Use section feeds to collect candidate stories, then check each article's geography and subject; a Seattle council decision and a Washington Legislature proposal should stay separate.
Named reporters and desks help trace continuing coverage of schools, housing, business, or environmental issues. Keep the author profile and canonical URL where available so later updates can be connected without assuming two similar headlines describe one event.