🦠 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 maxItems limit
• 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)

{
  "maxItems": 10
}

Example 2: Targeted query

{
  "maxItems": 5
}

⚠️ 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

1. Create a free Apify account - includes $5 free credit
2. Open the WHO Disease Outbreak News Scraper actor page
3. Configure your input - set filters or leave defaults
4. Set maxItems (10 for a quick preview, higher for bulk extraction)
5. Click Run and wait for the dataset to populate
6. 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.

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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.