GDACS Disaster Alerts Scraper
Pricing
from $7.50 / 1,000 results
GDACS Disaster Alerts Scraper
Pull the Global Disaster Alert and Coordination System feed for active worldwide events. Returns event type, alert level, country, severity, and coordinates for earthquakes, cyclones, floods, volcanoes, droughts, and wildfires. Useful for crisis response and risk monitoring.
Pricing
from $7.50 / 1,000 results
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ParseForge
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a day ago
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GDACS Global Disaster Alerts Scraper π
| Scrape live GDACS global disaster alerts for earthquakes, tropical cyclones, floods, volcanoes, wildfires, and droughts β clean structured fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines. |
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Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.
parseforge/gdacs-disaster-alerts-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/gdacs-disaster-alerts-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: eventTypes (array of hazard codes EQ/TC/FL/VO/WF/DR, default [] returns all types), alertLevel (string, default "Any", one of Any/Green/Orange/Red), maxItems (integer, default 10). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~gdacs-disaster-alerts-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations
Watch global disasters unfold from one clean feed. No code. No logins. Just pick the hazard types and alert level you care about (or leave the filters empty), press run, and get a structured list of active GDACS events you can open in Excel.
Why this helps β‘
- One feed for every hazard: Earthquakes, cyclones, floods, volcanoes, wildfires, and droughts side by side.
- Filter by severity: Keep only Orange or Red alerts when you need to focus on the serious events.
- Location baked in: Latitude, longitude, country, and affected countries ready for mapping.
- Ready for Excel/CRM: Download results as CSV, JSON, or Excel straight from Apify.
- Runs on a schedule: Poll the feed hourly to catch new alerts as GDACS publishes them.
Who it's for π₯
- Emergency response, humanitarian, and NGO teams tracking active crises
- Insurance, reinsurance, and risk analysts monitoring catastrophe exposure
- Newsrooms, researchers, and dashboards that need a live global hazard feed
What you get π¦
- Event identity: Event name, type and human-readable type name, event and episode IDs
- Severity signals: Alert level, alert score, numeric severity with its text and unit
- Location data: Country, ISO3 code, latitude, longitude, and the full affected-countries list
- Timing and links: From/to dates, last-modified date, current-event flag, source, image, and report URL
π GDACS disaster data fields
Each event record includes: imageUrl, eventName, eventType, eventTypeName, alertLevel, alertScore, eventId, episodeId, country, iso3, latitude, longitude, severity, severityText, severityUnit, fromDate, toDate, dateModified, isCurrent, description, source, affectedCountries, reportUrl, scrapedAt, and error. All 25 field names come from a real production run, so what you see here is what lands in your dataset.
β οΈ Good to know: you only need an Apify account; no GDACS login is required. Every run pulls the live global alert feed, so results reflect the events GDACS is reporting at run time. Only publicly published GDACS alert data is collected.
π How to use
- π Sign up. Create a free account (takes 2 minutes).
- π― Set input. Configure the input fields in the form (or paste a JSON), then set
maxItems. - π Run it. Click Start and let the Actor collect your data.
- π₯ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.
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π‘ Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.
π Need Help?
If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.