WHO Global Health Data Scraper

WHO Global Health Data Scraper pulls structured data from WHO Global Health Observatory and returns it as a clean dataset you can export as JSON, CSV or Excel. It queries the WHO Global Health Observatory API for any of its 3,000+ health indicators (life expectancy, mortality, immunisation, disease burden) and returns tidy rows with country, year, dimension and value.

No API key, no login. Click Start and it works with the prefilled input.

What does WHO Global Health Data Scraper do?

It queries WHO Global Health Observatory and returns one row per record, with only the fields that matter. Runs on the Apify platform, so you get an API endpoint, scheduling, monitoring and integrations (Zapier, Make, Google Sheets, webhooks) without maintaining any infrastructure.

Why use it?

• WHO Global Health Observatory data without the plumbing: no proxy setup, no pagination code, no scraping maintenance.
• Schedule it to monitor changes daily or weekly and trigger alerts on new records.
• Feed it straight into a spreadsheet, database, or an AI agent via the Apify API or MCP server.
• Runs in seconds and returns a typed dataset that is ready for analysis.

How to use it

1. Click Try for free / Start.
2. Leave the default input to see a sample run, or type your own values (see Input below).
3. Press Start and wait a few seconds.
4. Open the Output tab and download as JSON, CSV, Excel or HTML.

Input

Field	Type	Default	Description
indicatorCode	string	"WHOSIS_000001"	WHO GHO indicator code, e.g. WHOSIS_000001 (life expectancy at birth), MDG_0000000001 (under-five mortality).
filter	string	"SpatialDim eq 'NZL'"	Optional OData filter, e.g. SpatialDim eq 'NZL' or TimeDim eq 2020. Leave blank for all rows.
maxResults	integer	50	Maximum number of data rows to return.

Example input:

{
  "indicatorCode": "WHOSIS_000001",
  "filter": "SpatialDim eq 'NZL'",
  "maxResults": 5
}

Output

One item per record. Sample:

{
  "record_id": 35242,
  "indicator_code": "WHOSIS_000001",
  "country_code": "NZL",
  "spatial_dim_type": "COUNTRY",
  "region": "Western Pacific",
  "year": 2018
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Meaning
record_id	integer	Record ID
indicator_code	string	Indicator
country_code	string	Country
spatial_dim_type	string	Spatial Type
region	string	WHO Region
year	integer	Year
dimension_type	string	Dimension
dimension	string	Dimension Value
value_text	string	Value (text)
value	number	Value
low	number	Low Bound
high	number	High Bound
date	string	Date
period_begin	string	Period Start
period_end	string	Period End

How much does it cost to run?

This Actor uses pay-per-event pricing: you pay per result item pushed to the dataset, and nothing for an empty run. Each run is a few seconds of compute, so typical costs are fractions of a cent per run, and the Apify free tier covers plenty of testing.

Tips and advanced options

• Raise maxResults for a bigger pull; the Actor pages through the source for you.
• Schedule it (e.g. every morning) and combine with a webhook to get only the new records.
• Add the Actor to an AI agent through the Apify MCP server for natural-language queries.

FAQ, disclaimers and support

• Is this legal? It uses publicly available data from WHO Global Health Observatory. You are responsible for how you use the data and for complying with the source's terms.
• It returned nothing? Use a WHO indicator code such as WHOSIS_000001 (life expectancy) or an OData filter like SpatialDim eq 'NZL'. Indicator codes are listed at who.int/data/gho.
• Something broken? Open an issue on the Actor's Issues tab. Data sources change and get fixed quickly.
• Need a custom variant (extra fields, a different source, a scheduled report)? Get in touch through the Issues tab.