Install
openclaw skills install @crawlora-org/gdelt-researchResearches global news and US television coverage via the Crawlora API — GDELT web-news search/context/timeline/sentiment, plus GDELT Television 2.0 AI's index of US TV transcripts, captions, on-screen text, and visual labels — returning clean JSON. Use when the user wants coverage-volume or sentiment trends over time, cross-outlet news search, sentence-level co-occurrence search, or what US TV news said/showed about a topic — OSINT, media-monitoring, and political/social-science research.
openclaw skills install @crawlora-org/gdelt-researchSearch and chart global news coverage and US television news via the GDELT Project's own indexes — full-text search, sentence-level context search, coverage/tone timelines, and (for TV) transcripts, captions, on-screen text, and computer-vision labels — all as normalized JSON from the Crawlora API, no scraping.
CRAWLORA_API_KEY in the environment before running the helper.CRAWLORA_API_KEY from the environment and sends requests to https://api.crawlora.net/api/v1. Missing/invalid key → 401.Web news:
/gdelt/search (query, required; optional country,
domain, language, from/to/timespan, sort, maxrecords)
searches GDELT's continuously updated global news index./gdelt/context (query, required; is_quote to scope
to quoted text) does sentence-level co-occurrence search — last 72
hours of coverage only./gdelt/timeline (query, metric for volume vs. tone,
smooth) returns how coverage volume or tone has trended over time./gdelt/tonechart (query) returns a sentiment
histogram for a query's matching coverage.US television (GDELT Television 2.0 AI):
/gdelt/tv-search (station, required; optional show,
caption/transcript/onscreen_text/visual/concept text filters
and matching exclude_* negations, day_of_week) searches transcripts,
captions, OCR text, and computer-vision visual labels./gdelt/tv-timeline (airtime volume over
time), /gdelt/tv-showchart (top shows by coverage share),
/gdelt/tv-stationchart (cross-station comparison) — same filter params
as search, station required./gdelt/tv-wordcloud (station+channel, both
required) returns a frequency-ranked word/label cloud for one match./gdelt/tv-stationdetails (no params) lists
current stations; /gdelt/tv-concept-entities and
/gdelt/tv-visual-entities (limit) list GDELT's own Knowledge-Graph
concept and computer-vision label catalogs, useful for building valid
concept/visual filter values.Full endpoint list, methods, and params: reference/endpoints.md.
# Global news search:
scripts/crawlora.sh /gdelt/search query="semiconductor export controls" | jq '.'
# Coverage volume trend over time:
scripts/crawlora.sh /gdelt/timeline query="semiconductor export controls" metric=timelinevol | jq '.'
# Sentiment histogram:
scripts/crawlora.sh /gdelt/tonechart query="semiconductor export controls" | jq '.'
# US TV: search one station's coverage:
scripts/crawlora.sh /gdelt/tv-search station=CNN show="Erin Burnett OutFront" | jq '.'
# US TV: current station list:
scripts/crawlora.sh /gdelt/tv-stationdetails | jq '.'
Use scripts/crawlora.sh for all requests; it keeps the API key out of command-line arguments.
See reference/endpoints.md for every GDELT
web-news and Television 2.0 AI endpoint this skill uses.
/gdelt/timeline (volume) +
/gdelt/tonechart (sentiment) for the same query to see both how much
and how favorably a topic is covered over time./gdelt/search (web news)
and /gdelt/tv-search (TV) to compare print/online vs. broadcast
framing./gdelt/context for sentence-level
co-occurrence in the last 72 hours — catches emerging framing before a
full-timeline trend is visible./gdelt/tv-showchart or
/gdelt/tv-stationchart to see which shows/stations are driving
coverage of a topic.2xx; free tier 2,000 credits/mo.
Key at https://crawlora.net.CRAWLORA_API_KEY only — never hardcode, query-param, or commit it./gdelt/context only covers the last 72 hours — use /gdelt/search
or the timeline/tone endpoints for anything further back.station (/gdelt/tv-wordcloud also
requires channel) — list valid values via /gdelt/tv-stationdetails
first if unsure.timespan and from/to are alternative ways to scope a date range —
don't mix them; pick one.