GDELT
App · News · 12 actions
Search the world's news with GDELT, the open project that monitors online news in 65 languages and decades of US television news, and works out what each story is about and how positively it is told. No account or API key is needed. Search articles back to 2017 and the sentences a phrase appears in; chart how coverage and its tone move over time; and search television by what was said, written on screen or shown on camera.
Actions
| Action | What it does |
|---|---|
| Chart news coverage over time | Chart how much a topic was covered, and how positively, over time. |
| Chart television coverage over time | Chart how much television airtime a topic took over time, as a share of everything each station broadcast so stations of different sizes can be compared directly. |
| Chart the tone of coverage | Show how positive or negative the coverage of a topic is, as a histogram: one bin per tone score, how many articles landed in it, and a sample of those articles. |
| Chart what TV said and showed over time | Chart how often something was said aloud, written on screen or shown on camera, using GDELT's AI annotations of television news rather than the closed captions alone. |
| List AI television stations | List the stations covered by GDELT's AI television annotations, with the dates their coverage runs between. |
| List television stations | List every television station GDELT monitors, with its market, its network, and the dates its coverage runs between. |
| List what TV said and showed | List the concepts named in a station's closed captions, or the objects and scenes a vision model saw on screen. |
| List words said alongside a topic on TV | List the words spoken most often in the clips that match a television search, which shows what the coverage of a topic was actually about. |
| Rank television stations or shows | See which stations or which shows covered a topic most, as a ranked list. |
| Search news articles | Search worldwide online news coverage in 65 languages, back to 2017. |
| Search sentences in the news | Find the individual sentences a phrase appears in, rather than whole articles: every search word has to land in the same sentence, and what comes back is that sentence plus the ones either side of it. |
| Search television news clips | Search the closed captions of US and international television news and get the matching fifteen-second clips, each with its station, show, air time, a snippet of what was said, and a link to watch it in the Internet Archive. |
Chart news coverage over time
Chart how much a topic was covered, and how positively, over time. Choose a share of all coverage, a raw article count, the average tone, or a breakdown by language or publishing country. A breakdown returns one line per language or country GDELT monitors, so the ones with no coverage at all are left out, and 'How many lines' keeps just the busiest of the rest.
Inputs
- What to chart
metrictext - Which measurement to plot over time.One of:
volume_share(Share of all coverage (%)),article_count(Number of matching articles),volume_with_articles(Share of all coverage, with the top articles at each point),tone(Average tone of the coverage),by_language(Share of coverage, split by language),by_source_country(Share of coverage, split by publishing country). Default:volume_share. - Search words
querytext - The words to search for, for example 'wildfire evacuation'. Put a phrase in double quotes to match it exactly, write (a OR b) to match either, and put a minus in front of a word to leave it out. Can be left empty when at least one filter below is set.
- Theme
themetext - Only coverage tagged with this GDELT theme, for example 'NATURAL_DISASTER_FLOOD'. Themes are GDELT's own topic labels; the list is the most-used ones, each showing how often it appears.
- Published in
source_countrytext - Only coverage published in this country. This is where the outlet is, not what the story is about.
- Written in
source_languagetext - Only coverage written in this language. GDELT machine-translates all of them, so English search words still match.
- Only these websites
domainstext - Only coverage from these websites, as a comma-separated list of domains, for example 'bbc.com, reuters.com'.
- Leave out these websites
exclude_domainstext - Leave out coverage from these websites, as a comma-separated list of domains.
- Tone above
tone_greater_thannumber - Only coverage more positive than this. Tone runs from about -10 (extremely negative) to +10 (extremely positive), with most news between -5 and +5. Try 2 for positive coverage.From -100 to 100.
- Tone below
tone_less_thannumber - Only coverage more negative than this. Try -5 for strongly negative coverage.From -100 to 100.
- How far back
timespantext - How far back to search. Leave empty for GDELT's default of the last 3 months. Use the two date fields below instead for an exact window.One of:
1h(Last hour),6h(Last 6 hours),12h(Last 12 hours),24h(Last 24 hours),3d(Last 3 days),1w(Last week),2w(Last 2 weeks),1m(Last month),3m(Last 3 months),6m(Last 6 months), and 3 more. - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
- Smoothing
smoothingnumber - Average each point with the ones around it to flatten day-to-day noise, from 0 (off) to 30 points.From 0 to 30.
- How many lines
max_seriesnumber - When splitting by language or country, keep only the busiest this many. Leave empty to return every one, which is around 200 lines, so try 10 first.From 1 to 250.
Outputs
date_resolutiontextempty_series_omittednumbermetrictextquerytextquiet_series_omittednumberserieslistseries_countnumber
Example output
{
"date_resolution": "day",
"empty_series_omitted": 0,
"metric": "TimelineVol",
"query": "climate change",
"quiet_series_omitted": 0,
"series": [
{
"point_count": 2,
"points": [
{
"date": "2026-08-21T00:00:00Z",
"value": 1.0945
},
{
"date": "2026-08-22T00:00:00Z",
"value": 1.4183
}
],
"series": "Volume Intensity"
}
],
"series_count": 1
}Chart television coverage over time
Chart how much television airtime a topic took over time, as a share of everything each station broadcast so stations of different sizes can be compared directly.
Inputs
- What to chart
metrictext - Which measurement to plot over time.One of:
airtime_share(Share of airtime the topic took (%)),monitored_airtime(How much airtime was monitored in total),hourly_heatmap(Hour-by-hour heatmap),streamgraph(Stacked stream, one band per station). Default:airtime_share. - Search words
querytext - The words to look for in the closed captions, for example 'interest rates'. Put a phrase in double quotes to match it exactly, write (a OR b) to match either, and put a minus in front of a word to leave it out. Can be left empty when a station, market, network or show is chosen below.
- Station
stationtext - Only clips from this station, for example CNN.
- Market
markettext - Only clips from stations in this market. 'National' is the national networks; the rest are individual cities.
- Network
networktext - Only clips from this network's stations, for example CBS. A network covers all of its local affiliates at once.
- Show
showtext - Only clips from this show. The name must match exactly, for example 'Anderson Cooper 360'.
- Also said nearby
contexttext - Only clips where this also comes up within about fifteen seconds of the search words.
- How far back
timespantext - How far back to search. Leave empty to search the last 5 years. GDELT's television archive runs from July 2009 to October 2024, so a short window finds nothing. Use the two date fields below to search an exact stretch of it.One of:
24h(Last 24 hours),3d(Last 3 days),1w(Last week),2w(Last 2 weeks),1m(Last month),3m(Last 3 months),6m(Last 6 months),1y(Last year),2y(Last 2 years),5y(Last 5 years),10y(Last 10 years),20y(The whole archive). - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
- Group points by
date_resolutiontext - How wide each point on the chart should be. Defaults to whatever suits the window.One of:
hour(Hourly),day(Daily),week(Weekly),month(Monthly),year(Yearly). - Measure as
normalizationtext - Whether each point is a share of the station's airtime or a raw clip count.One of:
percentage(As a share of each station's airtime (comparable)),raw(As a raw count of matching clips). - Combine all stations
combine_stationstrue/false - Merge every station into one line instead of drawing one line per station.
- Smoothing
smoothingnumber - Average each point with the ones around it to flatten day-to-day noise, from 0 (off) to 30 points.From 0 to 30.
- Include the last 24 hours
include_last_24_hourstrue/false - The most recent day is left out by default because it is still being processed and reads as a dip. Turn this on to include it anyway.
Outputs
empty_series_omittednumbermetrictextnotetextquerytextserieslistseries_countnumber
Example output
{
"empty_series_omitted": 0,
"metric": "TimelineVol",
"query": "climate market:\"National\"",
"series": [
{
"point_count": 2,
"points": [
{
"date": "2024-09-01T12:00:00Z",
"value": 0.42
},
{
"date": "2024-10-01T12:00:00Z",
"value": 0.61
}
],
"series": "CNN"
}
],
"series_count": 1
}Chart the tone of coverage
Show how positive or negative the coverage of a topic is, as a histogram: one bin per tone score, how many articles landed in it, and a sample of those articles. Handy for jumping straight to the most negative reporting on something.
Inputs
- Search words
querytext - The words to search for, for example 'wildfire evacuation'. Put a phrase in double quotes to match it exactly, write (a OR b) to match either, and put a minus in front of a word to leave it out. Can be left empty when at least one filter below is set.
- Theme
themetext - Only coverage tagged with this GDELT theme, for example 'NATURAL_DISASTER_FLOOD'. Themes are GDELT's own topic labels; the list is the most-used ones, each showing how often it appears.
- Published in
source_countrytext - Only coverage published in this country. This is where the outlet is, not what the story is about.
- Written in
source_languagetext - Only coverage written in this language. GDELT machine-translates all of them, so English search words still match.
- Only these websites
domainstext - Only coverage from these websites, as a comma-separated list of domains, for example 'bbc.com, reuters.com'.
- Leave out these websites
exclude_domainstext - Leave out coverage from these websites, as a comma-separated list of domains.
- How far back
timespantext - How far back to search. Leave empty for GDELT's default of the last 3 months. Use the two date fields below instead for an exact window.One of:
1h(Last hour),6h(Last 6 hours),12h(Last 12 hours),24h(Last 24 hours),3d(Last 3 days),1w(Last week),2w(Last 2 weeks),1m(Last month),3m(Last 3 months),6m(Last 6 months), and 3 more. - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
Outputs
bin_countnumberbinslistquerytext
Example output
{
"bin_count": 2,
"bins": [
{
"bin": -3,
"count": 412
},
{
"articles": [
{
"domain": "bbc.com",
"language": "English",
"seendate": "2026-08-22T14:15:00Z",
"socialimage": "https://ichef.bbci.co.uk/news/1024/example.jpg",
"sourcecountry": "United Kingdom",
"title": "Severe flood warnings issued across the south coast",
"url": "https://www.bbc.com/news/articles/example-flood-warning",
"url_mobile": ""
}
],
"bin": 0,
"count": 1580
}
],
"query": "climate change"
}Chart what TV said and showed over time
Chart how often something was said aloud, written on screen or shown on camera, using GDELT's AI annotations of television news rather than the closed captions alone. Unlike the caption archive this is still being updated, so it reaches up to the past few days.
Inputs
- Station
stationtextRequired - Which station to search. Required: GDELT's AI television search only runs against named stations.
- Search words
querytext - Words to look for across every annotation layer at once. For a specific layer, use the four fields below instead. Can be left empty when one of those is filled in.
- Spoken on air
spoken_wordstext - Words spoken aloud, from the machine transcript. Up to five words.
- In the closed captions
closed_captionstext - Words as they appeared in the station's own closed captions.
- Written on screen
onscreen_texttext - Text recognised on screen (a chyron, a caption, a sign). Up to five words.
- Shown on screen
visual_labeltext - Something a vision model saw in the picture, for example 'flag' or 'crowd'. Use 'List what TV said and showed' to see the labels available.
- Show
showtext - Only clips from this show. The name must match exactly.
- Day of the week
day_of_weeknumber - Only broadcasts on this day, as a number: 0 for Sunday through to 6 for Saturday (7 also means Sunday).From 0 to 7.
- How far back
timespantext - How far back to chart. Leave empty for the last 2 years. GDELT's AI television timeline only answers for a window of about two years or more, so those are the choices; the chart still runs up to the present.One of:
2y(Last 2 years),3y(Last 3 years),5y(Last 5 years),10y(Last 10 years),20y(The whole archive). - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
- Combine all stations
combine_stationstrue/false - Merge every station into one line instead of drawing one line per station.
- Smoothing
smoothingnumber - Average each point with the ones around it to flatten day-to-day noise, from 0 (off) to 30 points.From 0 to 30.
Outputs
date_resolutiontextempty_series_omittednumbernotetextquerytextserieslistseries_countnumber
Example output
{
"date_resolution": "day",
"empty_series_omitted": 0,
"query": "station:CNN visual:\"flag\"",
"series": [
{
"point_count": 2,
"points": [
{
"date": "2026-08-21T12:00:00Z",
"value": 2305
},
{
"date": "2026-08-22T12:00:00Z",
"value": 1415
}
],
"series": ""
}
],
"series_count": 1
}List AI television stations
List the stations covered by GDELT's AI television annotations, with the dates their coverage runs between. Far fewer stations are annotated than are captioned, and every AI television search has to name one. Takes no inputs.
Inputs
None.
Outputs
countnumberstationslist
Example output
{
"count": 2,
"stations": [
{
"Label": "ABC",
"LabelLong": "ABC (KGO) (7/15/2010 - Now)",
"StationID": "KGO"
},
{
"Label": "CNN",
"LabelLong": "CNN (1/1/2020 - Now)",
"StationID": "CNN"
}
]
}List television stations
List every television station GDELT monitors, with its market, its network, and the dates its coverage runs between. Use it to find the exact station code for a television search. Takes no inputs.
Inputs
None.
Outputs
countnumberstationslist
Example output
{
"count": 2,
"stations": [
{
"Description": "CNN",
"EndDate": "2024-10-10T23:59:59Z",
"Market": "National",
"Network": "CNN",
"StartDate": "2009-07-02T00:00:00Z",
"StationID": "CNN"
},
{
"Description": "ABC (KGO San Francisco)",
"EndDate": "2024-10-10T23:59:59Z",
"Market": "San Francisco",
"Network": "ABC",
"StartDate": "2010-07-15T00:00:00Z",
"StationID": "KGO"
}
]
}List what TV said and showed
List the concepts named in a station's closed captions, or the objects and scenes a vision model saw on screen. The values it returns are exactly what the caption-concept and shown-on-screen filters take, so use it to discover what to chart next.
Inputs
- Annotation layer
sourcetext - Which layer of annotation to list.One of:
caption_concepts(Concepts named in the closed captions),visual_labels(Objects and scenes seen on screen). Default:caption_concepts. - Station
stationtextRequired - Which station to search. Required: GDELT's AI television search only runs against named stations.
- Search words
querytext - Words to look for across every annotation layer at once. For a specific layer, use the four fields below instead. Can be left empty when one of those is filled in.
- Spoken on air
spoken_wordstext - Words spoken aloud, from the machine transcript. Up to five words.
- In the closed captions
closed_captionstext - Words as they appeared in the station's own closed captions.
- Written on screen
onscreen_texttext - Text recognised on screen (a chyron, a caption, a sign). Up to five words.
- Shown on screen
visual_labeltext - Something a vision model saw in the picture, for example 'flag' or 'crowd'. Use 'List what TV said and showed' to see the labels available.
- Show
showtext - Only clips from this show. The name must match exactly.
- Day of the week
day_of_weeknumber - Only broadcasts on this day, as a number: 0 for Sunday through to 6 for Saturday (7 also means Sunday).From 0 to 7.
- How far back
timespantext - How far back to search. Leave empty to search the last 5 years. GDELT's television archive runs from July 2009 to October 2024, so a short window finds nothing. Use the two date fields below to search an exact stretch of it.One of:
24h(Last 24 hours),3d(Last 3 days),1w(Last week),2w(Last 2 weeks),1m(Last month),3m(Last 3 months),6m(Last 6 months),1y(Last year),2y(Last 2 years),5y(Last 5 years),10y(Last 10 years),20y(The whole archive). - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
Outputs
countnumberentitieslistquerytextsourcetext
Example output
{
"count": 2,
"entities": [
{
"label": "U.S.",
"mid": "/m/09c7w0"
},
{
"label": "WHITE HOUSE",
"mid": "/m/081sq"
}
],
"query": "station:CNN president",
"source": "CapNlpEntityDetails"
}List words said alongside a topic on TV
List the words spoken most often in the clips that match a television search, which shows what the coverage of a topic was actually about.
Inputs
- Search words
querytext - The words to look for in the closed captions, for example 'interest rates'. Put a phrase in double quotes to match it exactly, write (a OR b) to match either, and put a minus in front of a word to leave it out. Can be left empty when a station, market, network or show is chosen below.
- Station
stationtext - Only clips from this station, for example CNN.
- Market
markettext - Only clips from stations in this market. 'National' is the national networks; the rest are individual cities.
- Network
networktext - Only clips from this network's stations, for example CBS. A network covers all of its local affiliates at once.
- Show
showtext - Only clips from this show. The name must match exactly, for example 'Anderson Cooper 360'.
- Also said nearby
contexttext - Only clips where this also comes up within about fifteen seconds of the search words.
- How far back
timespantext - How far back to search. Leave empty to search the last 5 years. GDELT's television archive runs from July 2009 to October 2024, so a short window finds nothing. Use the two date fields below to search an exact stretch of it.One of:
24h(Last 24 hours),3d(Last 3 days),1w(Last week),2w(Last 2 weeks),1m(Last month),3m(Last 3 months),6m(Last 6 months),1y(Last year),2y(Last 2 years),5y(Last 5 years),10y(Last 10 years),20y(The whole archive). - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
Outputs
countnumbernotetextquerytextwordslist
Example output
{
"count": 2,
"query": "climate market:\"National\"",
"words": [
{
"count": 100.0,
"label": "Climate"
},
{
"count": 37.0753,
"label": "Change"
}
]
}Rank television stations or shows
See which stations or which shows covered a topic most, as a ranked list. Answers questions like which network talked about something the most.
Inputs
- Rank by
group_bytext - Whether to rank stations or individual shows.One of:
station(By station),show(By show). Default:station. - Search words
querytext - The words to look for in the closed captions, for example 'interest rates'. Put a phrase in double quotes to match it exactly, write (a OR b) to match either, and put a minus in front of a word to leave it out. Can be left empty when a station, market, network or show is chosen below.
- Station
stationtext - Only clips from this station, for example CNN.
- Market
markettext - Only clips from stations in this market. 'National' is the national networks; the rest are individual cities.
- Network
networktext - Only clips from this network's stations, for example CBS. A network covers all of its local affiliates at once.
- Show
showtext - Only clips from this show. The name must match exactly, for example 'Anderson Cooper 360'.
- Also said nearby
contexttext - Only clips where this also comes up within about fifteen seconds of the search words.
- How far back
timespantext - How far back to search. Leave empty to search the last 5 years. GDELT's television archive runs from July 2009 to October 2024, so a short window finds nothing. Use the two date fields below to search an exact stretch of it.One of:
24h(Last 24 hours),3d(Last 3 days),1w(Last week),2w(Last 2 weeks),1m(Last month),3m(Last 3 months),6m(Last 6 months),1y(Last year),2y(Last 2 years),5y(Last 5 years),10y(Last 10 years),20y(The whole archive). - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
Outputs
countnumbergroup_bytextnotetextquerytextresultslist
Example output
{
"count": 2,
"group_by": "StationChart",
"query": "climate market:\"National\"",
"results": [
{
"count": 0.6519,
"station": "CSPAN"
},
{
"count": 0.3367,
"station": "CNN"
}
]
}Search news articles
Search worldwide online news coverage in 65 languages, back to 2017. Match on words, a GDELT theme, the country or language the story was published in, the website it came from, or how positive or negative it is. Each result has the article's title, link, publication time, outlet, language and country.
Inputs
- Search words
querytext - The words to search for, for example 'wildfire evacuation'. Put a phrase in double quotes to match it exactly, write (a OR b) to match either, and put a minus in front of a word to leave it out. Can be left empty when at least one filter below is set.
- Theme
themetext - Only coverage tagged with this GDELT theme, for example 'NATURAL_DISASTER_FLOOD'. Themes are GDELT's own topic labels; the list is the most-used ones, each showing how often it appears.
- Published in
source_countrytext - Only coverage published in this country. This is where the outlet is, not what the story is about.
- Written in
source_languagetext - Only coverage written in this language. GDELT machine-translates all of them, so English search words still match.
- Only these websites
domainstext - Only coverage from these websites, as a comma-separated list of domains, for example 'bbc.com, reuters.com'.
- Leave out these websites
exclude_domainstext - Leave out coverage from these websites, as a comma-separated list of domains.
- Tone above
tone_greater_thannumber - Only coverage more positive than this. Tone runs from about -10 (extremely negative) to +10 (extremely positive), with most news between -5 and +5. Try 2 for positive coverage.From -100 to 100.
- Tone below
tone_less_thannumber - Only coverage more negative than this. Try -5 for strongly negative coverage.From -100 to 100.
- Strength of feeling above
tone_absolute_greater_thannumber - Only coverage this emotive, whichever direction it leans. Try 10 for the most charged reporting on a topic, positive or negative.From 0 to 100.
- Words close together
near_wordstext - Only coverage where these words appear near each other, for example 'trade tariff'. Set how near with the field below.
- Within how many words
near_distancenumber - How many words apart they may be. Defaults to 10.From 1 to 250.
- Word repeated
repeat_wordtext - Only coverage that says this word several times, which finds articles genuinely about it rather than ones mentioning it in passing.
- At least how many times
repeat_timesnumber - How many times it must appear. Defaults to 2.From 2 to 100.
- How far back
timespantext - How far back to search. Leave empty for GDELT's default of the last 3 months. Use the two date fields below instead for an exact window.One of:
1h(Last hour),6h(Last 6 hours),12h(Last 12 hours),24h(Last 24 hours),3d(Last 3 days),1w(Last week),2w(Last 2 weeks),1m(Last month),3m(Last 3 months),6m(Last 6 months), and 3 more. - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
- Order
sort_bytext - What order to return the articles in.One of:
relevance(Most relevant first),newest(Newest first),oldest(Oldest first),most_positive(Most positive tone first),most_negative(Most negative tone first). - How many to return
max_recordsnumber - How many articles to return, from 1 to 250. Defaults to 75.From 1 to 250.
Outputs
articleslistcountnumberquerytext
Example output
{
"articles": [
{
"domain": "bbc.com",
"language": "English",
"seendate": "2026-08-22T14:15:00Z",
"socialimage": "https://ichef.bbci.co.uk/news/1024/example.jpg",
"sourcecountry": "United Kingdom",
"title": "Severe flood warnings issued across the south coast",
"url": "https://www.bbc.com/news/articles/example-flood-warning",
"url_mobile": ""
}
],
"count": 1,
"query": "flood sourcecountry:UK"
}Search sentences in the news
Find the individual sentences a phrase appears in, rather than whole articles: every search word has to land in the same sentence, and what comes back is that sentence plus the ones either side of it. Good for reading what was actually said about something. Covers the past 72 hours only.
Inputs
- Search words
querytext - The words to search for, for example 'wildfire evacuation'. Put a phrase in double quotes to match it exactly, write (a OR b) to match either, and put a minus in front of a word to leave it out. Can be left empty when at least one filter below is set.
- Only these websites
domainstext - Only coverage from these websites, as a comma-separated list of domains, for example 'bbc.com, reuters.com'.
- Leave out these websites
exclude_domainstext - Leave out coverage from these websites, as a comma-separated list of domains.
- Words close together
near_wordstext - Only coverage where these words appear near each other, for example 'trade tariff'. Set how near with the field below.
- Within how many words
near_distancenumber - How many words apart they may be. Defaults to 10.From 1 to 250.
- Word repeated
repeat_wordtext - Only coverage that says this word several times, which finds articles genuinely about it rather than ones mentioning it in passing.
- At least how many times
repeat_timesnumber - How many times it must appear. Defaults to 2.From 2 to 100.
- How far back
timespantext - How far back to search. Leave empty for the last 24 hours. This search only holds the past 72 hours.One of:
15min(Last 15 minutes),1h(Last hour),6h(Last 6 hours),12h(Last 12 hours),24h(Last 24 hours),48h(Last 2 days),72h(Last 3 days (the most this search holds)). - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
- Quotes only
quotes_onlytrue/false - Return only sentences that are direct quotations, so you get what someone said rather than what a reporter wrote.
- Language
search_languagetext - Only sentences in this language. Leave empty to search every language.
- Order
sort_bytext - What order to return the sentences in.One of:
relevance(Most relevant first),newest(Newest first),oldest(Oldest first). - How many to return
max_recordsnumber - How many sentences to return, from 1 to 200. Defaults to 75.From 1 to 200.
Outputs
countnumberquerytextsentenceslist
Example output
{
"count": 1,
"query": "\"interest rates\"",
"sentences": [
{
"context": "The decision was unanimous. Policymakers said interest rates would stay where they are until inflation falls further. Markets had expected a cut.",
"domain": "reuters.com",
"isquote": 0,
"language": "ENGLISH",
"seendate": "2026-08-23T09:00:00Z",
"sentence": "Policymakers said interest rates would stay where they are until inflation falls further.",
"title": "Central bank holds rates steady",
"url": "https://www.reuters.com/markets/example-rates"
}
]
}Search television news clips
Search the closed captions of US and international television news and get the matching fifteen-second clips, each with its station, show, air time, a snippet of what was said, and a link to watch it in the Internet Archive. The archive runs from July 2009 to October 2024.
Inputs
- Search words
querytext - The words to look for in the closed captions, for example 'interest rates'. Put a phrase in double quotes to match it exactly, write (a OR b) to match either, and put a minus in front of a word to leave it out. Can be left empty when a station, market, network or show is chosen below.
- Station
stationtext - Only clips from this station, for example CNN.
- Market
markettext - Only clips from stations in this market. 'National' is the national networks; the rest are individual cities.
- Network
networktext - Only clips from this network's stations, for example CBS. A network covers all of its local affiliates at once.
- Show
showtext - Only clips from this show. The name must match exactly, for example 'Anderson Cooper 360'.
- Also said nearby
contexttext - Only clips where this also comes up within about fifteen seconds of the search words.
- How far back
timespantext - How far back to search. Leave empty to search the last 5 years. GDELT's television archive runs from July 2009 to October 2024, so a short window finds nothing. Use the two date fields below to search an exact stretch of it.One of:
24h(Last 24 hours),3d(Last 3 days),1w(Last week),2w(Last 2 weeks),1m(Last month),3m(Last 3 months),6m(Last 6 months),1y(Last year),2y(Last 2 years),5y(Last 5 years),10y(Last 10 years),20y(The whole archive). - From
start_timedate and time - Search from this date and time (UTC) instead of using 'How far back'. Leave both date fields empty to use 'How far back'.
- To
end_timedate and time - Search up to this date and time (UTC). Only used alongside 'From'; leave it empty to search from 'From' up to now.
- Order
sort_bytext - What order to return the clips in.One of:
relevance(Most relevant first),newest(Newest first),oldest(Oldest first). - How many to return
max_recordsnumber - How many clips to return, from 1 to 3,000. Defaults to 50.From 1 to 3000.
Outputs
clipslistcountnumbernotetextquerytext
Example output
{
"clips": [
{
"date": "2024-09-10T01:15:30Z",
"ia_show_id": "CNNW_20240910_010000",
"preview_url": "https://archive.org/details/CNNW_20240910_010000#start/930/end/965",
"show": "Anderson Cooper 360",
"snippet": "\u2026the Federal Reserve signalled that interest rates would stay higher for longer\u2026",
"station": "CNN"
}
],
"count": 1,
"query": "\"interest rates\" station:CNN"
}