US political narrative research
Use Raw Story endpoints to turn us political narrative research into repeatable API requests with documented inputs and JSON responses.
Media & Streaming5 active endpointsapiKey
Raw Story Scraper API
Track Raw Story’s political and commentary feeds without flattening their editorial roles.
Extract US political reporting, investigations, media criticism and progressive opinion from Raw Story as structured JSON.
Endpoint families
5
Documented params
9
Examples
5
Live catalog snapshot
Raw Story coverage
Active endpoints
5
Methods
GET
Required params
7
Schema refs
5
Article1
Author1
Headlines1
News1
{
"platform": "Raw Story",
"endpoint": "rawstory-news",
"method": "GET",
"path": "/rawstory/news",
"auth": "apiKey"
}Use cases
Workflows that fit Raw Story
Extract US political reporting, investigations, media criticism and progressive opinion from Raw Story as structured JSON.
Media coverage monitoring
Use Raw Story endpoints to turn media coverage monitoring into repeatable API requests with documented inputs and JSON responses.
Opinion and reporting comparison
Use Raw Story endpoints to turn opinion and reporting comparison 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 Raw Story 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 Raw Story endpoints, grouped into 5 request families — Article, Author and Headlines, plus 2 more.
Published request surface
9 request parameters are documented across those Raw Story endpoints, 7 of them required — the full input contract is public before you write any integration code.
Known response shape
5 of the 5 Raw Story 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
Raw Story 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 Raw Story 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
/rawstory/article
GETapiKey
1 endpoints
Author
/rawstory/author
GETapiKey
1 endpoints
Headlines
/rawstory/headlines
GETapiKey
1 endpoints
News
/rawstory/news
GETapiKey
1 endpoints
Sections
/rawstory/sections
GETapiKey
Endpoint catalog
Raw Story API endpoints
GETapiKeyexample
/rawstory/articleGet Raw Story article content
Returns a Raw Story article by canonical `url` on `rawstory.com`, for example `https://www.rawstory.com/trump-media-ban-2677933730/`: title, description, publication and update times, section, authors, image and body `paragraphs` (embedded videos excluded). `section` is omitted for slug-only URLs. Hub, tag and author URLs return an invalid-params error; a missing story returns not-found.
MCP tool rawstory_article
url:queryx-api-key:header
GETapiKeyexample
/rawstory/authorGet a Raw Story author profile
Returns a Raw Story author's profile, looked up by `slug` (for example `bennitokelty`) or canonical `url`; exactly one is required. The response has the name, `bio`, avatar, social links and the 15 most recent stories, each with title, URL and a `YYYY-MM-DD` date. Older stories are not reachable, and an unknown author returns not-found.
MCP tool rawstory_author
slug:queryurl:queryx-api-key:header
GETapiKeyexample
/rawstory/headlinesGet Raw Story section headlines
Returns the latest Raw Story stories, up to 30, for one section hub. `section` is required and takes one of 15 slugs such as `us-news`, `trump-news`, `world`, `commentary` or `supreme-court`. Each item has its title, URL, lead-paragraph summary, publication time, author and image when given. The dormant `presidential-campaign-issues` hub returns 9 stories.
Sampled 14 Oct 2026: 30 items, 6 fields filled in every item. published_at: 2026-10-13; url: rawstory.com.
MCP tool rawstory_headlines
section:queryx-api-key:header
GETapiKeyexample
/rawstory/newsGet Raw Story top stories
Returns the 30 newest Raw Story stories across all sections. Takes no parameters. Each item has its title, story URL, a lead-paragraph summary capped at 500 characters, publication time, author byline and lead image.
Sampled 14 Oct 2026: 30 items, 6 fields filled in every item. published_at: 2026-10-13; url: rawstory.com.
MCP tool rawstory_news
x-api-key:header
GETapiKeyexample
/rawstory/sectionsGet Raw Story sections
Lists the 15 section and topic hubs that `rawstory-headlines` accepts. Each entry has a `slug`, a display `name` such as `U.S. News` or `Raw Exclusives`, and the hub page `url`. Hubs overlap: `us-news`, `trump-news` and `smartnews` share most recent stories, and `presidential-campaign-issues` is dormant.
Sampled 14 Oct 2026: 15 items, 3 fields filled in every item. name: “U.S. News” and 14 other values; url: rawstory.com.
MCP tool rawstory_sections
x-api-key:header
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How to scrape Raw Story
Extract Raw Story data in 6 steps
Raw Story is a US progressive digital news and commentary outlet. Its Investigates hub and election coverage are distinct editorial lanes from media criticism and opinion; preserve the original hub before comparing a report with a commentary item. Several topic hubs can overlap in the same stories, so join feed results by canonical URL and do not count a cross-listed story as separate coverage. Use the live sections response as the supported inventory rather than treating every website topic page as an independent API feed; author profiles' recent-work lists are not a historical archive. On 2026-10-27 the sections route listed 15 slugs, including trump-news and raw-investigates, and each feed returned 30 stories with full fields.
- Step 1
Use 15 overlapping hubs
The sections route lists 15 section and topic hubs, such as us-news, trump-news, world, commentary and supreme-court. Hubs overlap, so one story can appear in several.
- Step 2
Budget 30 stories and long summaries
A hub call and the news route return up to 30 stories; summaries are the lead paragraph, capped at 500 characters on the news route.
- Step 3
Expect text without embedded videos
Article calls on a rawstory.com URL return title, description, publication and update times, section, authors, image and body paragraphs, with embedded videos excluded.
- Step 4
Look up an author like bennitokelty
The author route takes a slug (for example bennitokelty) or a canonical URL, exactly one, and returns name, bio, avatar, social links and the 15 most recent stories.
- Step 5
Pick between lead and commentary windows
us-news returned 30 stories from 2026-10-26 19:24 UTC to 2026-10-27 01:55, about six and a half hours, while commentary's 30 ran from 2026-10-17 to 2026-10-26.
- Step 6
Use the topical slugs deliberately
Slugs include us-news, trump-news, world, enviro-science, all-video, raw-investigates, also-read and commentary. Every row had a byline, summary and image.
Agent skills
Use Raw Story data from your coding agent
Install a Crawlora agent skill and your agent can pull Raw Story data as JSON through the documented API, without writing a scraper. These skills cover Raw Story:
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 Raw Story: common questions
Why can a Raw Story article appear under several hubs?
The hubs overlap, for example us-news and trump-news, so deduplicate by canonical URL.
How many stories does a Raw Story call return?
Up to 30 for a hub and 30 for the news route.
How many recent stories does the Raw Story author route return?
The 15 most recent.
How many Raw Story articles does a pull return?
30 per feed on 2026-10-27, covering about six hours for us-news and nine days for commentary.