# World Bank Life Expectancy

**Use case:** 

Life expectancy at birth for Japan, the US, India and Nigeria from 1990 to 2022, pulled from World Bank Open Data as one row per country and year.

## Input

```json
{
  "mode": "data",
  "indicators": [
    "SP.DYN.LE00.IN"
  ],
  "countries": [
    "JP",
    "US",
    "IN",
    "NG"
  ],
  "dateRange": "1990:2022",
  "includeEmptyValues": false,
  "indicatorsFromFile": "",
  "maxItems": 50000
}
```

## Output

```json
{
  "indicatorName": {
    "label": "Indicator",
    "format": "text"
  },
  "countryName": {
    "label": "Country",
    "format": "text"
  },
  "year": {
    "label": "Year",
    "format": "text"
  },
  "value": {
    "label": "Value",
    "format": "number"
  },
  "indicatorId": {
    "label": "Indicator ID",
    "format": "text"
  },
  "countryIso3": {
    "label": "ISO3",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [World Bank Data Scraper - Economic Indicators](https://apify.com/scrapesage/world-bank-data-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapesage/world-bank-data-scraper.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/scrapesage/world-bank-data-scraper.md

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).
