# WHO Global Health Observatory (GHO) Data Scraper (`compute-edge/who-gho-health-data-scraper`) Actor Extract WHO Global Health Observatory (GHO) health indicator time series — life expectancy, mortality, immunization, NCDs, HIV/TB/malaria, mental health, and more. Filter by indicator code, country, and year. Powered by the official WHO OData API. - **URL**: https://apify.com/compute-edge/who-gho-health-data-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## WHO Global Health Observatory (GHO) Data Scraper Extract **WHO Global Health Observatory** indicator time series via the official OData API — life expectancy, mortality, immunization coverage, NCDs, HIV/TB/malaria, mental health, environmental health, and ~2,000 other curated global-health indicators. ### Use cases - **Public-health researchers** — pull cross-country indicator series for analysis - **Pharma & medical-device firms** — quantify disease burden by country/year - **NGOs & development orgs** — back grant proposals with WHO data - **Health journalists** — cite authoritative WHO indicator data ### Output fields | Field | Description | |-------|-------------| | `indicatorCode` | GHO indicator code (e.g. `WHOSIS_000001`) | | `country` | WHO spatial dimension (typically ISO 3-letter) | | `parentLocation` / `parentLocationCode` | WHO region | | `year` | Observation year | | `value` | Display value (string, may include CIs) | | `numericValue` / `low` / `high` | Numeric value with 95% CI | | `sex` / `dim1Type` | Stratification dimension | | `comments`, `date`, `timeDimensionBegin/End` | Metadata | ### Common indicator codes | Code | Meaning | |------|---------| | `WHOSIS_000001` | Life expectancy at birth (years) | | `WHOSIS_000002` | Healthy life expectancy (HALE) at birth | | `MDG_0000000001` | Infant mortality rate | | `MDG_0000000007` | Under-5 mortality rate | | `WHS4_544` | Measles immunization coverage | | `NCD_BMI_30A` | Obesity prevalence (adults) | Full catalog: https://www.who.int/data/gho/info/gho-odata-api. ### Input ```json { "indicatorCode": "WHOSIS_000001", "country": "USA", "startYear": 2010, "endYear": 2023, "maxResults": 5000 } ```` ### Pricing Pay-per-result at **$0.003/record**. Apify compute is billed separately. ### Legal WHO GHO data is published openly by the World Health Organization. This Actor only fetches publicly-available data via the official OData API — no authentication is bypassed. # Actor input Schema ## `indicatorCode` (type: `string`): WHO GHO indicator code. Browse the catalog at https://www.who.int/data/gho/info/gho-odata-api. Examples: 'WHOSIS\_000001' (Life expectancy at birth), 'MDG\_0000000001' (Infant mortality), 'WHOSIS\_000002' (Healthy life expectancy). ## `country` (type: `string`): Filter by WHO country code (typically ISO 3-letter; e.g. 'USA', 'GBR', 'DEU'). Leave empty for all countries. ## `startYear` (type: `integer`): Earliest year to include. Use 0 for unbounded. ## `endYear` (type: `integer`): Latest year to include. Use 0 for unbounded. ## `maxResults` (type: `integer`): Maximum number of data points to return. ## Actor input object example ```json { "indicatorCode": "WHOSIS_000001", "country": "", "startYear": 0, "endYear": 0, "maxResults": 1000 } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("compute-edge/who-gho-health-data-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("compute-edge/who-gho-health-data-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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 compute-edge/who-gho-health-data-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/who-gho-health-data-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "WHO Global Health Observatory (GHO) Data Scraper", "description": "Extract WHO Global Health Observatory (GHO) health indicator time series — life expectancy, mortality, immunization, NCDs, HIV/TB/malaria, mental health, and more. Filter by indicator code, country, and year. Powered by the official WHO OData API.", "version": "0.1", "x-build-id": "FZmmfwcukNLu0fUVc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~who-gho-health-data-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-who-gho-health-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/compute-edge~who-gho-health-data-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-who-gho-health-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/compute-edge~who-gho-health-data-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-who-gho-health-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "indicatorCode": { "title": "Indicator Code", "type": "string", "description": "WHO GHO indicator code. Browse the catalog at https://www.who.int/data/gho/info/gho-odata-api. Examples: 'WHOSIS_000001' (Life expectancy at birth), 'MDG_0000000001' (Infant mortality), 'WHOSIS_000002' (Healthy life expectancy).", "default": "WHOSIS_000001" }, "country": { "title": "Country (3-letter WHO code)", "type": "string", "description": "Filter by WHO country code (typically ISO 3-letter; e.g. 'USA', 'GBR', 'DEU'). Leave empty for all countries.", "default": "" }, "startYear": { "title": "Start Year", "type": "integer", "description": "Earliest year to include. Use 0 for unbounded.", "default": 0 }, "endYear": { "title": "End Year", "type": "integer", "description": "Latest year to include. Use 0 for unbounded.", "default": 0 }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of data points to return.", "default": 1000 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```