# Global Health Indicator Intelligence (`wakey7dev/global-health-indicator-normalizer`) Actor

Extract WHO and global health indicators — mortality, disease burden, health systems, nutrition. Public health research, NGO analysis, policy monitoring.

- **URL**: https://apify.com/wakey7dev/global-health-indicator-normalizer.md
- **Developed by:** [Chris Wakefield](https://apify.com/wakey7dev) (community)
- **Categories:** Business
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

![Chris The Dev](https://raw.githubusercontent.com/chriswakefield87/appstore-screenshot-translator/main/assets/actor-banner.png)

## Global Health Indicator Normalizer

Search the World Health Organization's **Global Health Observatory (GHO)** and receive clean, deduplicated health observations ready for research, dashboards, due diligence, and AI pipelines.

### Why this Actor

The public GHO API returns inconsistent dimensions, formatted value strings, null-padded observations, and duplicate records. This Actor resolves indicator names or exact codes, fetches observations, normalizes country and sex dimensions, converts numeric values, preserves uncertainty bounds and source timestamps, and deduplicates records.

### Input parameters

| Parameter | Required | Description |
|---|---:|---|
| `indicatorQuery` | Yes | Indicator name text (e.g. `life expectancy`) or exact code (e.g. `WHOSIS_000001`). |
| `countries` | No | ISO3 country codes such as `USA`, `GBR`, or `KEN`. Empty means all available countries. |
| `startYear` / `endYear` | No | Inclusive year range. |
| `maxResults` | No | Maximum observations, default 100, maximum 1,000. |

### Example input

```json
{"indicatorQuery":"WHOSIS_000001","countries":["USA","GBR"],"startYear":2000,"endYear":2023,"maxResults":20}
```

### Output

Each dataset record includes `indicatorCode`, `indicatorName`, `countryCode`, `region`, `year`, normalized `sex`, numeric `value`, original `valueFormatted`, `low`, `high`, and `sourceUpdated`. The `OUTPUT` key-value record contains a readable summary table; `STATS` contains machine-readable counts.

```json
{"indicatorCode":"WHOSIS_000001","indicatorName":"Healthy life expectancy...","countryCode":"USA","region":"Americas","year":2020,"sex":"Both sexes","value":65.2,"valueFormatted":"65.2 [64.8-65.6]","low":64.8,"high":65.6}
```

### Use cases

- Global health and epidemiology research
- NGO and public-sector monitoring
- Healthcare market intelligence and benchmarking
- ESG and country-risk dashboards
- RAG and AI workflows needing consistent country/time-series records

### Data source and attribution

Data is retrieved live from the [WHO Global Health Observatory OData API](https://ghoapi.azureedge.net/api/). WHO publishes and maintains the underlying indicators. This Actor is an independent data-processing tool and is not affiliated with or endorsed by WHO.

# Actor input Schema

## `indicatorQuery` (type: `string`):

Indicator name search text (for example life expectancy) or an exact WHO indicator code (for example WHOSIS\_000001).

## `countries` (type: `array`):

Optional ISO3 country codes, comma-separated in the UI or JSON array (for example \["USA", "GBR"]). Leave empty for all countries.

## `startYear` (type: `integer`):

Optional inclusive year filter.

## `endYear` (type: `integer`):

Optional inclusive year filter.

## `maxResults` (type: `integer`):

Maximum normalized observations to return.

## Actor input object example

```json
{
  "countries": [],
  "maxResults": 100
}
```

# Actor output Schema

## `dataset` (type: `string`):

Full normalized result dataset.

## `summary` (type: `string`):

Human-readable run summary.

## `stats` (type: `string`):

Machine-readable statistics.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("wakey7dev/global-health-indicator-normalizer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("wakey7dev/global-health-indicator-normalizer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call wakey7dev/global-health-indicator-normalizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wakey7dev/global-health-indicator-normalizer"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/h2IJHYIaYcdmj74W3/builds/3ke689udW3BDrnGOD/openapi.json