Real-time news
Articles as they publish, filtered the way you need.
Structured JSON
Every publisher formats news differently.NewsMesh returns one schema.
Clean UTF-8 JSON with the same fields and types from every source, and the same error format from every endpoint.
One schema, every source
- AMD briefly joined the $1 trillion club. Cramer says its monster run isn’t overCNBCAI trendsCPU market
- State Street CEO Ron O’Hanley on why the right opportunity can come at the wrong timeCNBCcareer opportunitiesleadership
- Lufthansa Sees Another Transitional Year With Oil, Fleet IssuesBloombergaviationfinancial challenges
- Dangote Targets 10 Million Investors With IPO Marketing BlitzBloombergIPO marketinginvestment
- Mistral CEO says U.S. AI safety debate masks competitors’ 'negligence'CNBCAI safetyindustry scrutiny
- Nvidia launches new platform for reining in rogue AI agentsTechCrunchAI technologysoftware development
- AMD makes a big bet on the next era of AI with World Labs acquisitionMarketWatchAI acquisitionschip industry
- Meta turned Muse into a viral hit. Now comes the hard part.MarketWatchAI developmentsocial media
- NASA's newest space telescope launches on a quest to explore the hidden universeCNBCspace explorationspace telescopes
- A T. Rex Walked Here: Teacher Finds Rare Footprints in North DakotaThe New York Timesdinosaursfossilized footprints
- ‘I’m Really Terrified’: A Mathematician Grapples With AI’s Recent BreakthroughsWiredartificial intelligencemath
- NASA Bets $700 Million On Jeff Bezos’ Blue Origin For Mars MissionsForbesspace explorationMars missions
GET /v1/latest200 OK · 4 results
What you get
Parse once and stop maintaining scrapers.
Who it's for
Anyone tired of cleaning HTML.
Fields
The fields on every article.
What you get
0/3- One article objectThe same fields from every source.
- Tags includedCategory, topics, people and countries on each record.
- Predictable errorsEvery error has a status, a code and a message.
Map one schema to your models.
Load articles straight into a warehouse.
Put compact records into context.
Render titles, images and links without cleanup.
Article object
Every endpoint- article_id
- string
- title
- string
- source
- string
- category
- string
- topics
- array
- people
- array
- country_relevance
- array
- published_date
- ISO 8601
See the recordbehind every row.
The same object, whichever outlet published the story.
Example
Loading articles into a warehouse
A data team pulls business news every hour and loads each article as one row. The schema never changes with the publisher, so the load job never breaks.
At a glance
- Endpoint
- /v1/latest
- Filters
- category
- Schedule
- Hourly
- Output
- One row per article
- AMD briefly joined the $1 trillion club. Cramer says its monster run isn’t overCNBC · AI trends, CPU market
- State Street CEO Ron O’Hanley on why the right opportunity can come at the wrong timeCNBC · career opportunities, leadership
- Lufthansa Sees Another Transitional Year With Oil, Fleet IssuesBloomberg · aviation, financial challenges
- Dangote Targets 10 Million Investors With IPO Marketing BlitzBloomberg · IPO marketing, investment
curl -G https://api.newsmesh.co/v1/latest \ -d apiKey=$NEWSMESH_API_KEY \ -d category=business \ -d limit=50
import os, requestsr = requests.get( "https://api.newsmesh.co/v1/latest", params={ "apiKey": os.environ["NEWSMESH_API_KEY"], "category": "business", "limit": "50", },)articles = r.json()["data"]
const params = new URLSearchParams({ apiKey: process.env.NEWSMESH_API_KEY, category: "business", limit: "50",});const res = await fetch(`https://api.newsmesh.co/v1/latest?${params}`);const { data } = await res.json();
{
"data": [{
"article_id": "7997c2d7b2f98bd95b01a3882f00fc64",
"title": "AMD briefly joined the $1 trillion club. Cramer says its mo…",
"source": "CNBC",
"category": "business",
"topics": ["AI trends", "CPU market", "business strategy"],
"people": ["Jim Cramer"],
"country_relevance": ["United States"],
"link": "https://www.cnbc.com/2026/09/28/jim-cramer-amd-lisa…"
}],
"next_cursor": "eyJwIjoi…"
}