# World Bank — Economic Indicators & Country Data (`omao/worldbank`) Actor

Fetch World Bank development indicators (GDP, population, inflation, and 1,400+ more) for any country and year range into clean JSON: country, indicator, year and value. Powered by the official World Bank API. No API key.

- **URL**: https://apify.com/omao/worldbank.md
- **Developed by:** [Marouane Oulabass](https://apify.com/omao) (community)
- **Categories:** Developer tools, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 datapoints

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 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

## World Bank — Economic Indicators & Country Data to JSON

**Fetch World Bank development indicators for any country and year range — as clean JSON.** Pick indicators (GDP, population, inflation, and 1,400+ more) and countries, and get back a tidy row per data point: country, indicator, year and value. Powered by the official World Bank API — no API key.

The easy way to build economic and development datasets for analysis and dashboards.

### Who uses this

- 📊 **Economists & analysts** — pull GDP, inflation, population and more.
- 💼 **Finance & research teams** — build country and time-series datasets.
- 🏛️ **Policy & NGO researchers** — study development indicators across nations.
- 🤖 **Data & AI pipelines** — feed clean macro data into your models.
- 🧑‍💻 **Developers** — a clean economic-data endpoint by indicator and country.

### What you get — one clean row per (country, indicator, year)

| Field | Description |
|---|---|
| `countryName` + `countryId` | Country |
| `indicatorId` + `indicatorName` | Indicator |
| `year` | Observation year |
| `value` | Indicator value (null if missing) |
| `unit` | Unit of measure |
| `obsStatus` | Observation status |
| `decimal` | Decimal precision |
| `ok`, `scrapedAt` | Status & provenance |

### Example

**Input**

```json
{ "indicators": ["NY.GDP.MKTP.CD", "SP.POP.TOTL"], "countries": ["USA", "FRA", "CHN"], "dateFrom": 2010, "dateTo": 2023, "skipNullValues": true }
```

*(leave `countries` empty for ALL countries)*

**Output (one item)**

```json
{
  "countryName": "France", "countryId": "FR",
  "indicatorId": "SP.POP.TOTL", "indicatorName": "Population, total",
  "year": 2022, "value": 68170228
}
```

### Why this actor

- ✅ **Official source** — the World Bank API, always current.
- 📈 **1,400+ indicators** — GDP, population, inflation, trade and more.
- 🌍 **Any country or all** — pick codes or fetch every country.
- 🗓️ **Time series** — set a year range for trends.
- ⚡ **Fast & affordable** — pay only per data point returned. No API key.

### Input options

- `indicators` *(required)* — World Bank indicator codes (e.g. `NY.GDP.MKTP.CD`).
- `countries` — ISO country codes; leave empty for all countries.
- `dateFrom` / `dateTo` — year range.
- `skipNullValues` — skip missing observations.
- `maxResults` — cap total data points.

### FAQ

**Where do I find indicator codes?** On the World Bank data site (e.g. `NY.GDP.MKTP.CD` for GDP, `SP.POP.TOTL` for population).

**Can I get all countries?** Yes — leave `countries` empty to fetch every country and aggregate.

**Do I get a time series?** Yes — set `dateFrom`/`dateTo` for a range of years.

**How fresh is the data?** Live from the World Bank API on every run (includes a retry for transient hiccups).

**Can I export to CSV/Excel/Google Sheets?** Yes — the dataset exports to JSON, CSV, Excel and HTML, or pull it via the API.

**What does it cost?** Pay-per-data-point — you're only charged for data points actually returned.

***

*Tip: fetch one indicator for all countries and one year to build an instant global comparison table.*

# Actor input Schema

## `indicators` (type: `array`):

World Bank indicator codes. E.g. NY.GDP.MKTP.CD (GDP), SP.POP.TOTL (population), FP.CPI.TOTL.ZG (inflation).

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

ISO country codes (2 or 3 letters), e.g. USA, FRA, CHN. Leave empty for ALL countries.

## `dateFrom` (type: `integer`):

Start year (inclusive). Leave empty for all available years.

## `dateTo` (type: `integer`):

End year (inclusive).

## `skipNullValues` (type: `boolean`):

Skip data points with no value (missing observation).

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

Cap the total number of data points.

## `healthCheckMode` (type: `boolean`):

Internal monitoring: run a canary query and FAIL if broken (no billing).

## Actor input object example

```json
{
  "indicators": [
    "SP.POP.TOTL",
    "FP.CPI.TOTL.ZG"
  ],
  "countries": [
    "DEU",
    "JPN",
    "BR"
  ],
  "dateFrom": 2010,
  "dateTo": 2023,
  "skipNullValues": false,
  "maxResults": 5000,
  "healthCheckMode": false
}
```

# Actor output Schema

## `dataPoints` (type: `string`):

All indicator observations (country, year, value).

# 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 = {
    "indicators": [
        "NY.GDP.MKTP.CD"
    ],
    "countries": [
        "USA",
        "FRA",
        "CHN"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("omao/worldbank").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 = {
    "indicators": ["NY.GDP.MKTP.CD"],
    "countries": [
        "USA",
        "FRA",
        "CHN",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("omao/worldbank").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 '{
  "indicators": [
    "NY.GDP.MKTP.CD"
  ],
  "countries": [
    "USA",
    "FRA",
    "CHN"
  ]
}' |
apify call omao/worldbank --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=omao/worldbank",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/500YDIowoH6ZrzEKU/builds/Yz1S9epJQwthee4or/openapi.json