Monitors the world's broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies the people, locations, organizations, counts, themes, sources, emotions, counts, quotes, images and events driving our global society every second of every day, creating a free open platform for computing on the entire world.
Data visualizations for events from 2017-present and up to 250 articles at a time can be accessed by changing the structure of the API url (manually or through web forms) to reflect the search query.
Raw data can be analyzed using SQL queries on Google BigQuery. Researchers with the capacity to work with 2.5TB for each year of data can download the raw data directly from GDELT.
Most documentation is shared on various dates throughout the GDELT blog.
The GDELT 1.0 Event Database contains over a quarter-billion records organized into a set of tab-delimited files by date. Through March 31, 2013 records are stored in monthly and yearly files by the date the event took place. Beginning with April 1, 2013, files are created daily and records are stored by the date the event was found in the world's news media rather than the date it occurred (97%+ of events are reported within 24 hours of happening, but a small number of events each day are past events being mentioned for the first time - if an event has been seen before it will not be included again). Files are ZIP compressed in tab delimited format, but named with a ".CSV" extension.
Ken Blake's "A short intro to GDELT" tutorial
GDELT Summary + GDELT APIs
In addition to its datasets, GDELT also offers a number of live realtime JSON APIs offering fulltext search and other capabilities, including
DOC,
GEO and
TV. Explore them using the
GDELT Summary web form that offers a non-technical, human-friendly website wrapper around the APIs, showcasing their capabilities.
UK Foreign & Commonwealth Office, Open Source Unit has also created a GDELT query interface for working with the API that ofters searching by theme as well by keyword.
Themes taxonomy
GDELT datasets and specialized datasets (some for download, some only available on Google BigQuery)
Google BigQuery documentation