Global News & Media Monitor (GDELT)

See what the world's media is saying about any topic, brand, company or event - across 100+ countries and languages - using GDELT, the global news monitoring project. No API key, no login, no browser.

Two modes

Matching articles - a list of news articles mentioning your topic, each with:

• title and link
• the publishing domain
• source country and language (this is what sets GDELT apart - it sees coverage worldwide, not just one country's headlines)
• publication date and a lead image

Coverage volume timeline - how large a share of world news coverage mentioned your topic over time. Perfect for spotting when a story breaks or a crisis spikes.

Example input

{
    "queries": ["\"supply chain\""],
    "mode": "articles",
    "timespanDays": 7
}

• queries - topics, brands or phrases (wrap exact phrases in quotes)
• mode - articles or coverage timeline
• timespanDays - how far back to look
• sourceCountry - limit to one country's media ("UnitedStates", "Kenya", "Germany")
• language - limit to one language ("English", "Spanish")
• advancedFilters - power-user GDELT operators like tone<-5 (only negative coverage)

Who uses this

• PR, comms and brand teams: monitor coverage of your company and competitors worldwide, in every language, and catch negative stories early.
• Risk and geopolitical analysts: track how a country, conflict or supply-chain event is being reported across borders.
• Journalists and researchers: find international coverage and measure how much attention a story is getting.
• Investor-relations and market teams: watch media attention around a company or sector.

Complements our Google News Scraper (single-locale headlines) with worldwide, multi-language monitoring and volume analytics.

Pricing

A small fee per row (one per article, or one per timeline point). Searches that match nothing are free note rows, and the first 2 rows of every run are free.

Notes

• Source: GDELT DOC 2.0 API, which indexes online news worldwide. GDELT rate-limits requests, so this actor spaces them out; very large multi-topic runs take a little longer.
• Coverage is strongest for recent days; the timeline reflects share of monitored coverage, not raw article counts.