WHO Disease Outbreak News Scraper | Public Health Reports
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from $19.00 / 1,000 results
WHO Disease Outbreak News Scraper | Public Health Reports
Export World Health Organization Disease Outbreak News reports: title, publication date, summary, full overview, assessment, advice, URL, DON ID and source. Filter by year. CSV, Excel, JSON, XML for epidemiology research, public health monitoring and academic studies.
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🦠 WHO Disease Outbreak News Scraper
🚀 Export export who disease outbreak news reports with full content and metadata in seconds. Export World Health Organization Disease Outbreak News reports: title, publication date, summary, full overview, assessment, advice, URL, DON ID and source. Filter by year. CSV, Excel, JSON, XML for epidemiology research, public health monitoring and academic studies. No account required for the source.
🕒 Last updated: 2026-05-26 · 📊 17 fields per record · 1000+ outbreak reports since 1996 · Worldwide (all WHO-monitored outbreaks)
The WHO Disease Outbreak News Scraper extracts structured records from World Health Organization. Every record captures the canonical fields you would expect from the upstream source - ready for analytics, dashboards, BI tooling, or further enrichment.
The dataset spans worldwide (all who-monitored outbreaks) and exposes the same data the official source publishes - normalised, paginated, and exportable.
Who uses this data?
| Audience | Use Case |
|---|---|
| Epidemiologists | Build longitudinal datasets for analysis |
| Compliance teams | Monitor regulated entities and filings |
| Journalists | Investigate public records at scale |
| Data analysts | Power BI dashboards and reports |
| Academic researchers | Run quantitative studies on public data |
| Product teams | Embed live who disease outbreak news records into apps |
📋 What the WHO Disease Outbreak News Scraper does
- Queries World Health Organization for the latest records
- Supports targeted filtering via the input parameters (see below)
- Returns structured records with 17 fields, no scraping artifacts
- Handles pagination automatically up to your
maxItemslimit - Cleans HTML entities and normalises dates and identifiers
- Delivers results as CSV, Excel, JSON, or XML via Apify dataset export
💡 Why it matters: Public-data sources rarely offer bulk export. This Actor turns the live source into a queryable dataset - useful for any team that needs who disease outbreak news data at scale.
🎬 Full Demo
🚧 Coming soon
⚙️ Input
| Field | Type | Required | Description |
|---|---|---|---|
| maxItems | integer | No | Free users: 10. Paid users: optional, max 1,000,000. |
| year | string | No | Filter by publication year (YYYY). Optional. |
| query | string | No | Filter by substring match in title. Optional. |
Example 1: Default run (preview)
Example 2: Targeted query
⚠️ Good to Know: Free users are limited to 10 items per run. Upgrade to a paid plan to unlock up to 1,000,000 items.
📊 Output
| Field | Type | Description |
|---|---|---|
🔑 ID id | string | - |
📋 Title title | string | - |
🔢 DON ID donId | string | - |
📅 Published publicationDate | string | - |
📅 Created dateCreated | string | - |
🕒 Modified lastModified | string | - |
🔗 URL Name urlName | string | - |
🔗 URL url | string | - |
📝 Summary summary | string | - |
📖 Overview overview | string | - |
🦠 Epidemiology epidemiology | string | - |
📊 Assessment assessment | string | - |
💡 Advice advice | string | - |
📚 More Info furtherInformation | string | - |
🚨 Response response | string | - |
🕒 Collected scrapedAt | string | - |
❌ Error error | string | Error message if record could not be retrieved |
✨ Why choose this Actor
| Feature | Detail |
|---|---|
| 🌐 No login required | Public data only - no credentials needed |
| 🔍 Targeted filtering | Search by name, code, date range, type |
| 📊 1000+ outbreak reports since 1996 | Comprehensive coverage of worldwide (all who-monitored outbreaks) |
| 🧹 Clean output | Dates normalised, HTML stripped, arrays flattened |
| ⚡ Fast API | Direct source access - no browser overhead |
| 🔄 Auto-pagination | Retrieves all matching results up to your maxItems |
| 💾 4 export formats | CSV, Excel, JSON, XML all available |
| 🛡️ Retry logic | Multi-attempt retry with backoff for reliability |
📈 How it compares to alternatives
| Method | Speed | Scale | Structured Output | Free |
|---|---|---|---|---|
| This Actor | Fast | 1,000,000 records | Yes (17 fields) | 10 free / unlimited paid |
| Manual site search | Slow | Limited per session | No | Yes |
| Bulk data download | Slow setup | Variable | Partial | Variable |
| Custom API script | Variable | Unlimited | Requires dev work | Dev cost |
🚀 How to use
- Create a free Apify account - includes $5 free credit
- Open the WHO Disease Outbreak News Scraper actor page
- Configure your input - set filters or leave defaults
- Set
maxItems(10 for a quick preview, higher for bulk extraction) - Click Run and wait for the dataset to populate
- Download your results as CSV, Excel, JSON, or XML
💼 Business use cases
Compliance and Due Diligence
Teams use who disease outbreak news data to verify entities, monitor regulatory status, and feed downstream pipelines.
Market Research
Analysts map worldwide (all who-monitored outbreaks) to understand market structure, competitive activity, or regulatory trends.
Lead Generation
Sales teams enrich CRM records with who disease outbreak news data to identify prospects and qualify leads.
Investigative Journalism
Reporters use bulk extracts to find patterns, anomalies, and stories hidden in public records.
🔌 Automating WHO Disease Outbreak News Scraper
Connect this Actor to your existing workflows using Apify integrations:
- Make (Integromat) - trigger a run on a schedule and push results to Google Sheets or a database
- Zapier - automatically export new records to Airtable, Notion, or your CRM
- Slack - get notified when a monitored entity has new activity
- Webhooks - receive real-time notifications when a run completes
🌟 Beyond business use cases
Academic Research
Study trends, behaviours, and patterns in worldwide (all who-monitored outbreaks) records across time.
Civic Tech and Transparency
Civic-tech projects build dashboards on top of bulk extracts to surface public-interest insights.
Education
Educators use real who disease outbreak news data to teach data analysis and domain knowledge.
Personal Research
Individuals - researchers, hobbyists, family historians - use bulk export to answer questions that no single web search can.
🤖 Ask an AI assistant about this scraper
Have questions about how to use this Actor or interpret the data? Paste a few sample records into ChatGPT, Claude, or another AI assistant and ask it to summarise the dataset, explain fields, identify patterns, or suggest filter combinations.
❓ Frequently Asked Questions
🔍 What does this Actor do? It extracts who disease outbreak news records from World Health Organization into a clean, queryable dataset.
📊 How many records are available? 1000+ outbreak reports since 1996.
🔑 Do I need an account or API key? No. This Actor uses public sources that require no authentication.
📅 How up-to-date is the data? The Actor queries the source live on every run.
🔍 Can I filter by specific fields? Yes - see the Input section above for all supported filters.
⚡ How fast is the scraper? A typical 10-item preview completes in under 30 seconds.
📄 What format is the output? Records are stored in Apify's dataset storage and can be exported as CSV, Excel, JSON, or XML.
🏆 Why are some fields null for certain records?
Some fields are optional at the source. The Actor returns null rather than fabricating values.
📋 Can I run this on a schedule? Yes - use Apify's built-in scheduler or trigger via Make / Zapier / Webhooks.
💰 Is there a cost to use this Actor? Free users receive 10 records per run. Create a paid account to unlock up to 1,000,000 records per run.
🌍 Does it cover worldwide (all who-monitored outbreaks)? Yes - see the coverage line above.
🛡️ Is this Actor compliant? The Actor accesses only publicly available data, in line with the source's published terms of service.
🔌 Integrate with any app
Export data directly from the Apify platform to:
Spreadsheets & Databases Google Sheets - Microsoft Excel - Airtable - Notion - PostgreSQL - MySQL - MongoDB
Automation & Workflows Make (Integromat) - Zapier - n8n - Pipedream - Activepieces
Cloud Storage AWS S3 - Google Cloud Storage - Azure Blob Storage - Dropbox
APIs & Webhooks REST API - Webhooks - Apify API
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💡 Pro Tip: browse the complete ParseForge collection for more public-data scrapers.
Need help? Visit the Apify Discord community or open a support ticket.
Disclaimer: This Actor accesses publicly available data from World Health Organization in compliance with the source's terms of service. Data is provided as-is for informational purposes. Verify all records against the official source before relying on them for legal or business decisions.
