Greater Toronto monitoring
Use Toronto Star endpoints to turn greater toronto monitoring into repeatable API requests with documented inputs and JSON responses.
Media & Streaming5 active endpointsapiKey
Toronto Star Scraper API
Toronto Star is a Toronto regional newspaper. Follow GTA, Ontario, city hall, business, sports, and investigative coverage through structured public feeds and article records for Greater Toronto monitoring.
Extract Toronto and Ontario local reporting, municipal policy, social issues, business, and sport from Toronto Star with structured article, section, headline, news, and author data.
Endpoint families
5
Documented params
9
Examples
5
Live catalog snapshot
Toronto Star coverage
Active endpoints
5
Methods
GET
Required params
7
Schema refs
5
Article1
Author1
Headlines1
News1
{
"platform": "Toronto Star",
"endpoint": "torontostar-news",
"method": "GET",
"path": "/torontostar/news",
"auth": "apiKey"
}Use cases
Workflows that fit Toronto Star
Extract Toronto and Ontario local reporting, municipal policy, social issues, business, and sport from Toronto Star with structured article, section, headline, news, and author data.
Toronto Star section and headline tracking
Use Toronto Star endpoints to turn toronto star section and headline tracking into repeatable API requests with documented inputs and JSON responses.
Article and byline research for Toronto civic, real-estate, and commercial researchers
Use Toronto Star endpoints to turn article and byline research for toronto civic, real-estate, and commercial 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 Toronto Star endpoint catalog — 5 endpoints, 9 documented request parameters, and 5 published response schemas — the same catalog Docs and Playground run against.
Documented endpoint coverage
5 documented Toronto Star endpoints, grouped into 5 request families — Article, Author and Headlines, plus 2 more.
Published request surface
9 request parameters are documented across those Toronto Star endpoints, 7 of them required — the full input contract is public before you write any integration code.
Known response shape
5 of the 5 Toronto Star 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
Toronto Star 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.
Agent-callable MCP tools
5 hosted MCP tools back the Toronto Star 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
/torontostar/article
GETapiKey
1 endpoints
Author
/torontostar/author
GETapiKey
1 endpoints
Headlines
/torontostar/headlines
GETapiKey
1 endpoints
News
/torontostar/news
GETapiKey
1 endpoints
Sections
/torontostar/sections
GETapiKey
Endpoint catalog
Toronto Star API endpoints
GETapiKeyexample
/torontostar/articleGet Toronto Star article content
Returns public Toronto Star article metadata and the body paragraphs shown to an anonymous reader from a canonical article URL. The Star meters its articles, so paywalled is true and paragraphs holds only the public teaser (typically the first two paragraphs) whenever the page hides the rest from non-subscribers.
Sampled 14 Oct 2026: 10 of 10 fields returned with a value. published_at: 2026-09-23; section: “news/gta”.
MCP tool torontostar_article
url:queryx-api-key:header
GETapiKeyexample
/torontostar/authorGet a Toronto Star author profile
Returns one Toronto Star author's public profile: name, job title, biography, location and topic focus, avatar, and their recent articles.
Sampled 14 Oct 2026: 8 items, 4 fields filled in every item. published_at: 2026-09-24 to 2026-10-13; url: thestar.com.
MCP tool torontostar_author
slug:queryurl:queryx-api-key:header
GETapiKeyexample
/torontostar/headlinesGet Toronto Star section headlines
Returns fresh Toronto Star headlines from one public section page, with summary, publish time and image when the page shows them.
Sampled 14 Oct 2026: 41 items, 2 fields filled in every item, 2 not. url: thestar.com; title: median 74 characters.
MCP tool torontostar_headlines
section:queryx-api-key:header
GETapiKeyexample
/torontostar/newsGet Toronto Star top stories
Returns the newest Toronto Star editorial stories (up to 50, newest first) from the public news sitemap. Press-release and sponsored pages are excluded.
Sampled 14 Oct 2026: 50 items, 3 fields filled in every item. published_at: 2026-10-13; url: thestar.com.
MCP tool torontostar_news
x-api-key:header
GETapiKeyexample
/torontostar/sectionsGet Toronto Star sections
Lists the 69 Toronto Star sections accepted by the headlines endpoint, taken from thestar.com's main navigation. Each has a `slug`, a display `name` and a `url`. Nested sections use slash paths such as `news/gta`, `sports/hockey/pwhl` and `business/technology`. Takes no parameters.
Sampled 14 Oct 2026: 69 items, 3 fields filled in every item. name: “News” and 68 other values; url: thestar.com.
MCP tool torontostar_sections
x-api-key:header
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How to scrape Toronto Star
Extract Toronto Star data in 6 steps
The Toronto Star is a Toronto newspaper covering the Greater Toronto Area and Ontario through city hall, social issues, business, investigations, and sports. Its local reporting can support housing, transit, or civic-service research when the actual municipality is preserved. A provincial announcement, a Toronto council vote, and a suburban project should remain separate records even when they share one policy keyword. On 2026-10-25 the documented list used path-style slugs, about 70 of them (news/gta, news/car-thefts, sports/hockey/pwhl, podcasts/this-matters). The news/car-thefts feed returned 7 items from 2026-09-21 to 2026-10-19, all on auto theft, most from the Star's Grand Theft Toronto investigation, none with an author field, and not in date order. A second pull on 2026-10-27 re-checked the 69-slug section list and the cross-section feed.
- Step 1
Use path-style slugs as written
Pass news/gta or news/car-thefts with the slash, URL-encoded. /torontostar/sections also lists news/toronto-election, politics/provincial, sports/hockey/pwhl and four podcast paths.
- Step 2
Treat a topic feed as a series
news/car-thefts returned one investigation: a launch package, a live Q&A, hotel-theft and carjacking pieces and a 2026-10-19 follow-up. Group by series, and keep investigations apart from daily crime reports.
- Step 3
Do not assume an author or date order
None of the 7 items had an author, and dates ran 09-23, 09-22, 09-28, 09-25, 10-19, 09-22, 09-21. Sort by published_at and fetch the article for the byline.
- Step 4
Read bodies of roughly 2 paragraphs
Pass a canonical public URL to /torontostar/article and use /torontostar/author for the named contributor when available. Keep the municipality, because a provincial announcement, a Toronto council vote and a suburban project should stay separate records even when they share a keyword.
- Step 5
Map 69 slugs from news to entertainment/television
On 2026-10-27 the sections route listed 69 slugs, among them news, news/gta, news/toronto-election, news/police/project-south, news/car-thefts, news/canada, news/ontario, news/canada/british-columbia. Treat each slug as its own feed: send it verbatim and remember that the same story may be listed under several.
- Step 6
Strip rows carry only a title, URL and time
The cross-section news route returned 50 stories from 2026-10-29 22:34 to 2026-10-30 04:53 UTC with no byline, summary or image. Section headlines are richer but uneven: news returned 44 with 10 images and 7 summaries, while news/gta returned 45 with no timestamps. Toronto Star lists 69 slugs, and article samples can be paywalled (a 2026-10-30 sample returned 2 paragraphs, about 600 characters).
Agent skills
Use Toronto Star data from your coding agent
Install a Crawlora agent skill and your agent can pull Toronto Star data as JSON through the documented API, without writing a scraper. These skills cover Toronto Star:
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 Toronto Star: common questions
How do I follow a Toronto Star investigation?
Use its topic slug, such as news/car-thefts, and group items by series. The 2026-10-25 response held Grand Theft Toronto coverage from 2026-09-21 to a 10-19 follow-up.
Why do some Toronto Star items have no author?
The car-thefts sample carried no author field on any of its 7 items. Resolve the byline from the article page.
Which slugs cover Toronto civic news?
news/gta, news/toronto-election and politics/provincial, with news/ontario and news/canada for wider scope. Read the article body to confirm the municipality.