Mainstream News Live & Archive: WSJ, Reuters, Bloomberg & More

Free demo: runs and API requests return a fixed sample of real rows. Your accounts, queries, dates, and filters are not applied. Repeating a run returns the same sample; a smaller row limit returns its prefix. Upgrade your Apify plan to request your own data. Demo rows have no result charge; the listed Actor start charge still applies.

Search collected articles and archived stories from major outlets: the WSJ, Reuters, the New York Times, Bloomberg, the FT, the BBC, CNN, Fox, and more, by outlet, keyword, and date. Coverage and collection delays vary by outlet.

$2 per 1,000 articles. Try the fixed Free demo.

Why use it

• Ongoing collection. Retrieve articles as they enter our archive. Tick Only new since my last run and each run returns just what's new.
• Archive. Months of articles are already stored when you search.
• 115 outlets, one format. Every article has the same columns, whatever the outlet.
• Topics. Pick Markets, Politics, Tech, Crypto, and more.
• One story, one row. Tick Same story once and a story several outlets ran comes back once. You don't pay for the copies.
• Article text when we have it. As Markdown, alongside the headline, summary, and image.

Quick start

Pick outlets and keywords, or leave Outlets empty for all of them:

{ "outlets": ["WSJ", "REUTERS", "NEW YORK TIMES"], "keywords": ["Fed", "inflation"], "since": "2026-10-01", "maxResults": 500 }

Markets news from the last 24 hours, each story once:

{ "outlets": [], "topics": ["markets", "economy"], "maxAgeHours": 24, "sameStoryOnce": true, "maxResults": 200 }

Keywords match the headline or the summary, and each row lists the ones it matched.

Live news: tick Only new since my last run, schedule it every few minutes, and connect it to Slack, email, or Google Sheets.

Outlets

ABC NEWS, AL JAZEERA, AP, ARAB NEWS, AXIOS, BARRONS, BBC, BIZINSIDER (Business Insider), BLOOMBERG, BLOOMBERG LAW, BREITBART, BUSINESS TIMES SG, CBC, CBS, CHINA DAILY, CHINA-XINHUA, CNA, CNBC, CNET, CNN, COINDESK, DAILY BEAST, DAILY CALLER, DAILY MAIL, DAILY WIRE, DEFENSENEWS, DER SPIEGEL, DWNEWS (Deutsche Welle), ECONOMIST, EL UNIVERSAL, ENGADGET, EUROMAIDAN PRESS, EURONEWS, FAZ, FINANCIAL NEWS, FOLHA DE SAO PAULO, FORBES, FORTUNE, FOX, FRANCE 24, FT, GIZMODO, GLOBE AND MAIL, HAARETZ, HUFFPOST, I24NEWS, IBTIMES, JAPAN TIMES, JP-BLOOMBERG, JUST THE NEWS, KHALEEJ TIMES, KOREA TIMES, LA NACION, LA REPUBBLICA, LATIMES, LE MONDE, LIBERATION, MASHABLE, MOSCOW TIMES, MSNBC, N12, NATIONAL REVIEW, NBC, NEWSMAX, NEW STRAITS TIMES, NEWSWEEK, NEW YORK TIMES, NHK WORLD, NIKKEI, NL TIMES, NPR, NYPOST, O GLOBO, PBS, POLITICO, POLITICO EUROPE, REAL CLEAR POLITICS, REASON, REUTERS, SCIENTIFIC AMERICAN, SEMAFOR, SKYNEWS, SLATE, SMH, STAT NEWS, STRAITS (Straits Times), TASS-RU, TECHCRUNCH, TECHINASIA, THE ATLANTIC, THE DIPLOMAT, THE GUARDIAN, THE HILL, THE INDEPENDENT, THE INFORMATION, THE INTERCEPT, THEJOURNAL.IE, THE NATIONAL, THE NEW YORKER, THE STREET, THE TELEGRAPH, THE TIMES, THE VERGE, THE WEEK, TIMES OF INDIA, TIMES OF ISRAEL, USA TODAY, VENTUREBEAT, VICE, VOGUE BUSINESS, WAPO, WASHINGTON EXAMINER, WIRED, WSJ, YONHAP.

What you get

One row per article, newest first:

Field	What it is
outlet	The publication, e.g. WSJ, REUTERS, NYPOST
title, url	The headline and the article on the outlet's site
published_at	When the outlet published it
excerpt, image_url	The outlet's summary and lead image, when given
body, has_body	The article text as Markdown, when we have it
topics	The article's sections: markets, business, economy, crypto, tech, politics, world, us, opinion, sports, health, science, climate, entertainment, lifestyle, legal, defense
matched_keywords	Which of your keywords it contains, when you search by keyword
category, tags, region, country	What kind of outlet it is and where it's based

The Article text tab of a run's output shows the text; exports in JSON, CSV, or Excel include it too. Untick Include article text for headlines only, or tick Only articles with text to skip articles without it.

Use it as an API

Call it like a REST API, with no runs to manage: /articles answers in JSON with the same rows and prices as a run. Try it in the Endpoints tab, or copy the Actor's URL from there:

curl -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  "https://ACTOR_URL/articles?outlet=WSJ,REUTERS&keyword=Fed&since=2026-10-01"

Pricing

Prices below are result fees. The Pricing tab also lists an Actor start charge, including for empty runs, demo runs, and problem reports. Demo rows have no result charge. Custom data requires a paid Apify plan. Its subscription includes usage credit; it is not a separate Feedd subscription. API calls require an Apify token.

$2 per 1,000 articles, only for rows you get: 10,000 articles cost $20. On Apify's Business plan, $1.60 per 1,000. Maximum rows caps each run.

Apify Free plan: fixed sample data only. Runs and API calls return the same sample. Upgrade for custom data at the result rates above.

FAQ

How fast are new articles? Timing varies by outlet and collection path. Scheduled integrations add their own polling and delivery delay.

How much is there? Availability varies by outlet and date. Start with a small query to inspect coverage for your topic.

Can AI agents use it? Yes. Add https://mcp.apify.com?tools=feeddlabs/mainstream-news-archive to Claude, ChatGPT, or Cursor and ask, for example, "What did the WSJ and Reuters publish about the Fed today?"

Something not right? Write it in Report a problem and run the Actor. The run only submits your report, with no result charge. The listed Actor start charge still applies. AI agents can report problems too.

More from Feedd Labs

Actor	What it does
X (Twitter) Real-Time Monitor	Posts and account changes delivered by WebSocket or webhook
X (Twitter) Search Scraper	Tweets and replies by keyword, account and date
X (Twitter) Followers Scraper	Followers, following and profiles of public accounts
X (Twitter) Account Watch	Who an account follows or unfollows, and its profile changes
X (Twitter) Ads Library	Collected promoted ads and brand creative
Mainstream News Live & Archive	Collected news articles from major outlets
US Stock Market Data	1-minute stock history since 2016, futures and financial statements
Crypto Derivatives Data	Open interest, funding and liquidations on 4 exchanges
Crypto OHLCV & Trades	Candles from 1 second to 1 day and individual trades
Polymarket Data	Available odds history, volume and open interest by event