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Global News and Risk Monitor

A qualified global news and risk intelligence feed for teams that need procurement signals before manual search catches up. Monitors GDELT Project, GDELT DOC 2.0 API, GDELT data exports and returns buyer-ready records with source evidence.

Who this is for

Procurement, sales, partnerships, compliance, and research teams use this actor when they need a focused global news and risk feed instead of a broad generic scraper.

Buyer outcomes

• Find relevant global news and risk records faster with normalized source evidence and match context.
• Prioritize review using scores, confidence, source URLs, and buyer-ready summary fields.
• Route new or changed records into recurring workflows through saved inputs, schedules, and alerts.

Sources monitored

GDELT Project, GDELT DOC 2.0 API, GDELT data exports

Inputs

• sourceMode: use sample for the default Store test, startUrls for URL-backed runs, or another supported source mode when configured.
• startUrls: optional public URLs with a working small default/prefill for URL-backed smoke runs.
• sourceIds: approved source identifiers to keep runs scoped to known public data sources.
• maxItems: bounded result limit; the default is intentionally small for first-run validation.
• sinceLastRun: return only new or changed records when scheduled delta mode is enabled.
• watchlistTerms: buyer keywords, companies, products, places, or risk terms used for monitoring context.
• webhookUrl: optional completion or alert destination for recurring workflows.
• outputMode: use sample records for Store validation or buyer-ready records for production runs.

Outputs

The actor returns buyer-ready records with source attribution, match context, and normalized fields for review or downstream routing.

• title: Buyer-readable opportunity or record title.
• source_url: Direct source URL for review and audit.
• source_id: Source identifier used to trace where the record came from.
• buyer_name: Public buyer, authority, issuer, or organization.
• country: Normalized field for filtering, routing, or downstream review.
• published_at: Normalized field for filtering, routing, or downstream review.
• deadline: Submission or response deadline when available.
• cpv_codes: Normalized field for filtering, routing, or downstream review.
• estimated_value: Normalized field for filtering, routing, or downstream review.
• currency: Normalized field for filtering, routing, or downstream review.
• match_reason: Plain-language reason this record matched the actor focus.
• evidence: Normalized field for filtering, routing, or downstream review.
• dedupe_key: Normalized field for filtering, routing, or downstream review.
• scraped_at: Normalized field for filtering, routing, or downstream review.

Pricing

This actor uses Apify pay-per-event pricing. Current public listing guidance: $29-$49 / 1,000 launch validation records until public data proof is complete. Charges are tied to buyer-visible value events such as recall-alert, recall-alert, recall-alert. Small validation runs are supported so you can inspect output before scaling a schedule.

• recall-alert: Charge when Global News and Risk Monitor produces Record Saved. Typical price: $0.043. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit.
• recall-alert: Charge when Global News and Risk Monitor produces Enriched Record. Typical price: $0.043. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit.
• recall-alert: Charge when Global News and Risk Monitor produces Alert Delivered. Typical price: $0.043. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit.
• first-run-cap: Recommended first run budget cap. Typical price: $3.820. Start with the default small run, inspect the dataset, then raise maxItems or schedule recurring runs.

API example

curl-X POST "https://api.apify.com/v2/acts/YOUR_USERNAME~gdelt-global-risk-monitor/runs"\
+ -H"Authorization: Bearer $APIFY_TOKEN"\
+ -H"Content-Type: application/json"\
+ -d'{"maxItems":10,"sourceIds":["GDELT","GDELT-DOC-API","GDELT-DATA"],"includeSourceUrls":true,"includeMatchReasons":true,"outputMode":"buyer-ready-records"}'

Recommended first run

{
"maxItems":10,
"sourceIds":[
"GDELT",
"GDELT-DOC-API",
"GDELT-DATA"
],
"includeSourceUrls":true,
"includeMatchReasons":true,
"outputMode":"buyer-ready-records"
}

Sample output

Review a static sample output record before running the actor: https://zentraforge.store/external/actor-review/samples/gdelt-global-risk-monitor.json

Recommended public tasks

[
{
"name":"First 10 qualified records",
"description":"Low-cost validation run for checking output quality and source fit.",
"input":{
"maxItems":10,
"sourceIds":[
"GDELT",
"GDELT-DOC-API",
"GDELT-DATA"
],
"includeSourceUrls":true,
"includeMatchReasons":true,
"outputMode":"buyer-ready-records",
"actorSlug":"gdelt-global-risk-monitor"
}
},
{
"name":"Daily monitoring feed",
"description":"Recurring small batch for new buyer-value records.",
"schedule":"Daily during local business hours",
"input":{
"maxItems":25,
"sourceIds":[
"GDELT",
"GDELT-DOC-API",
"GDELT-DATA"
],
"includeSourceUrls":true,
"includeMatchReasons":true,
"outputMode":"buyer-ready-records",
"actorSlug":"gdelt-global-risk-monitor"
}
}
]

Use cases

• Track new global news and risk opportunities without checking each source manually.
• Route qualified records into CRM, spreadsheets, or internal review queues.
• Monitor deadlines, buyer names, source links, and match reasons for faster triage.
• Schedule recurring runs to catch new signals while keeping first-run costs low.

Trust and compliance

• Uses GDELT Project, GDELT DOC 2.0 API, GDELT data exports.
• Designed for public-source procurement and data-intelligence workflows.
• Keeps source URLs and source identifiers in output records for auditability.
• Does not require private credentials unless a source is explicitly configured for approved authenticated access.

Limitations

• Results depend on public-source availability, source uptime, and source update cadence.
• Public sources can revise records after publication; rerun scheduled tasks for fresh evidence.
• Scores and match reasons are decision-support signals, not legal, financial, procurement, or compliance advice.
• Large production runs can cost more than the default smoke run; start small, inspect output, then scale schedules.

FAQ

Can I run this without URLs? Yes. The default sample mode is designed to succeed without user-supplied URLs, and URL-backed runs can use startUrls when needed.

Can I schedule it? Yes. Use sinceLastRun, watchlistTerms, and optional webhookUrl to turn the actor into a recurring alert or report workflow.

How do I verify value before scaling? Run the recommended first-run input, review the sample output fields, then increase maxItems or schedule recurring runs after the dataset matches your use case.