Reuters News Scraper

News monitors, research desks, and AI agents use this Actor to extract Reuters headline metadata — title, publish time, section, language, image, and tags — from Reuters' public Google News sitemap, with optional Bing News site:reuters.com keyword discovery and URL-mode rows. Built for structured monitoring on Apify (API, schedules, datasets). Full article body remains on reuters.com for in-browser reading; this Actor returns honest sitemap/search metadata only (bodyText is always null).

Best fit for this Actor

• Monitor World, Business, Markets, Legal, Sports, Technology, and other Reuters sections from the public news sitemap
• Filter by keyword, language, or recency window
• Discover articles by topic via Bing News site:reuters.com
• Resolve specific reuters.com article URLs against the sitemap (or return an honest URL-derived row)

Best fit when you need Reuters headline metadata. For multi-publisher monitoring, continue with Google News Scraper. For Bloomberg section headlines and tickers, use Bloomberg News Scraper. For Financial Times RSS metadata, use Financial Times News Scraper.

Practical scenario

A geopolitics researcher selects sections world and business, sets maxItems to 10, and schedules the run hourly. Each run returns the latest Reuters headlines with publish times, images, and canonical URLs from the public news sitemap. The researcher opens those URLs in a browser for full reading. The Actor is the discovery layer; Reuters remains the reading layer.

Quick start input

{
  "sections": ["world", "business"],
  "maxItems": 10,
  "languages": ["en"],
  "searchKeywords": [],
  "sinceHours": 0,
  "maxSitemapPages": 2
}

Input reference

Field	What it controls
sections[]	Reuters sitemap sections (prefill: world + business)
searchKeywords[]	Optional headline/keyword filter
searchQuery	Bing News site:reuters.com topic search
articleUrls[]	Optional reuters.com URLs → sitemap match or URL-derived row
languages[]	Locale filter (en default; all for every locale)
sinceHours	Recency filter (0 = all current items)
maxItems	Hard cap on billed articles (default 50, prefill 10)
maxSitemapPages	How many ~50-URL sitemap pages to fetch (default 4)
proxyConfiguration	Optional; usually unnecessary for sitemap/Bing RSS

What data you receive

One dataset item is one Reuters article metadata row.

{
  "title": "Swiss trade surplus nearly doubles in second quarter as exports boom",
  "summary": null,
  "url": "https://www.reuters.com/business/swiss-trade-surplus-nearly-doubles-second-quarter-exports-boom-2026-09-22/",
  "authors": [],
  "publishedAt": "2026-09-22T09:48:14.148Z",
  "section": "business",
  "language": "en",
  "keywords": ["trade"],
  "textAvailability": "SITEMAP_METADATA",
  "sourceMode": "sitemap",
  "bodyText": null,
  "scrapedAt": "2026-09-22T12:00:00.000Z"
}

Field	Meaning
title / summary	Headline and Bing snippet (summary often null for sitemap rows)
url / canonicalUrl	Canonical reuters.com article link
publishedAt / updatedAt	ISO publish / lastmod times when exposed
section / subsection / language	Path-derived taxonomy
keywords / imageUrl	Tags and lead image when present
textAvailability	SITEMAP_METADATA | SEARCH_SNIPPET | URL_DERIVED
sourceMode	sitemap | search | url
bodyText	Always null in v1 (honest DataDome contract)

Download JSON, CSV, or Excel from the run dataset. Key-value OUTPUT / RUN_SUMMARY use outcomes COMPLETE, PARTIAL, VALID_EMPTY, INVALID_INPUT, UPSTREAM_FAILED, or CONFIG_ERROR.

Use through the API

curl "https://api.apify.com/v2/acts/khadinakbar~reuters-news-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"sections":["world","business"],"maxItems":10}'

Read rows from the run defaultDatasetId after status is SUCCEEDED. Check key-value OUTPUT.outcome for the terminal contract above.

Use with AI agents through Apify MCP

Scrape the latest Reuters World and Business headlines. Cap at ten articles. Return title, URL, publish time, section, and language. Keep the request metadata-only.

Inspect OUTPUT.outcome, keep url / guid as provenance, and keep maxItems small. Client setup: https://mcp.apify.com. Tool name after publish: apify--reuters-news-scraper.

Connect the workflow

This Actor is a focused Reuters metadata monitor. When you need headlines across many publishers for the same keyword, continue with Google News Scraper. When the story is Bloomberg-specific markets coverage with tickers, use Bloomberg News Scraper. For FT RSS standfirsts, use Financial Times News Scraper.

Pricing

This Actor uses Pay per event plus Apify platform usage. Open the live Pricing tab for current event details, and use Apify's run cost controls to keep the workflow aligned with your budget.

• apify-actor-start: $0.00005 per run
• article-found: $0.003 per saved article row

A quality prefill that returns ten articles bills one start event plus ten article-found events (~$0.03005 before platform usage). Invalid input and empty matches charge no article-found events.

Best results

• Prefer sitemap sections for reliability; use searchQuery when you need a topic outside a single section.
• Keep maxItems and maxSitemapPages low for cheap canaries; raise only after a successful small run.
• Treat this Actor as a headline/metadata discovery layer — open reuters.com URLs in a browser for full reading.
• Re-check important stories on reuters.com before redistribution.

Design note

In my testing, the public Arc news sitemap (/arc/outboundfeeds/news-sitemap/) and Bing News site:reuters.com RSS returned stable headline metadata without a proxy, while reuters.com article HTML and Fusion content APIs stayed behind DataDome. That is why bodyText stays null and textAvailability is an honest enum aligned with public XML/RSS.

Responsible use

Use public Reuters sitemap and search metadata for lawful monitoring and research. Follow Reuters terms, copyright policy, and applicable law. You are responsible for compliance with licensing and redistribution rules. This Actor stays on public XML/RSS surfaces and leaves paywalls, logins, and bot protection untouched.

"Reuters" is a trademark of Thomson Reuters. This independent Actor is not affiliated with, associated with, or endorsed by Thomson Reuters. Bing is a trademark of Microsoft Corporation. This independent Actor is not affiliated with, associated with, or endorsed by Microsoft.