# World Economic Indicators Scraper: GDP, Inflation & More (`scrapemint/world-economic-indicators-scraper`) Actor

World Bank economic data for any countries: GDP, GDP per capita, inflation, unemployment, population, life expectancy, trade and ~29,500 more indicators, decades of history. One row per country-indicator-year, enriched with region and income level. Keyless, global, no API key.

- **URL**: https://apify.com/scrapemint/world-economic-indicators-scraper.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** Business
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 1,000 economic data points

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 Economic Indicators Scraper: GDP, Inflation & More

Pull clean economic data for any set of countries and any set of indicators,
across decades, in one run. Built on the **World Bank Indicators API** —
\~265 economies and ~29,500 indicators (GDP, GDP per capita, inflation,
unemployment, population, life expectancy, trade, debt, and far more). No API
key, no proxy, works for every country on Earth.

### Who it's for

- **Analysts, fintech and funds** building country-risk and macro models.
- **Researchers, universities and students** who need multi-country panel data
  without hand-assembling it.
- **Consultancies, NGOs, journalists and data-viz teams** producing country
  comparisons and economic profiles.
- **Companies** doing market-entry and expansion analysis.

### Input

| Field | What it does |
| --- | --- |
| `countries` | ISO codes (`US`, `CN`, `IN`…), or `ALL` for every economy, or World Bank aggregates (`WLD`, `EUU`, `LMY`). |
| `indicators` | World Bank indicator ids, e.g. `NY.GDP.MKTP.CD` (GDP), `FP.CPI.TOTL.ZG` (inflation). Browse at data.worldbank.org/indicator. |
| `startYear` / `endYear` | Year range. Empty = full available history. |
| `mostRecentOnly` | Return only the latest value per country-indicator (a current snapshot). |
| `skipEmpty` | Skip country-years with missing values (on by default). |
| `maxRows` | Cap on data points. Controls cost. |

### Output (one row per country-indicator-year)

`country`, `countryCode`, `iso3`, `region`, `incomeLevel`, `indicatorId`,
`indicator`, `year`, `value`, `unit`.

Each row is enriched with the country's **region** and **income level** (from
World Bank metadata), so you can group or filter by region and income without
a second data source.

### Common indicator ids

| Indicator | Id |
| --- | --- |
| GDP (current US$) | `NY.GDP.MKTP.CD` |
| GDP per capita (current US$) | `NY.GDP.PCAP.CD` |
| GDP growth (annual %) | `NY.GDP.MKTP.KD.ZG` |
| Inflation, consumer prices (annual %) | `FP.CPI.TOTL.ZG` |
| Unemployment (% of labor force) | `SL.UEM.TOTL.ZS` |
| Population, total | `SP.POP.TOTL` |
| Life expectancy at birth | `SP.DYN.LE00.IN` |

### Pricing

Pay per event: **$0.004 per data point** (country-indicator-year). The first
**2 rows per run are free**, so you can preview the output at no cost.

### Example

```json
{
  "countries": ["US", "CN", "IN", "BR", "KE"],
  "indicators": ["NY.GDP.MKTP.CD", "FP.CPI.TOTL.ZG"],
  "startYear": 2015,
  "endYear": 2023
}
```

Returns GDP and inflation for those five countries, 2015–2023, one row each.

# Actor input Schema

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

ISO country codes (2- or 3-letter), e.g. US, CN, IN, BR, KE. Use ALL for every economy (~265). You can also use World Bank region/income aggregate codes (e.g. WLD, EUU, LMY). Empty = all.

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

World Bank indicator ids. Common ones: NY.GDP.MKTP.CD (GDP), NY.GDP.PCAP.CD (GDP per capita), NY.GDP.MKTP.KD.ZG (GDP growth %), FP.CPI.TOTL.ZG (inflation %), SL.UEM.TOTL.ZS (unemployment %), SP.POP.TOTL (population), SP.DYN.LE00.IN (life expectancy). Browse all at data.worldbank.org/indicator.

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

Earliest year to include (data goes back to 1960 for many series). Empty = no lower bound.

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

Latest year to include. Empty = up to the most recent year available.

## `mostRecentOnly` (type: `boolean`):

Return only the single latest available value per country-indicator (ignores the year range). Good for a current snapshot.

## `skipEmpty` (type: `boolean`):

Skip country-years where the value is missing (null). Turn off to keep gaps in the timeseries.

## `maxRows` (type: `integer`):

Cap on data points returned. Controls total cost. First 2 rows per run are free.

## Actor input object example

```json
{
  "countries": [
    "US",
    "CN",
    "IN",
    "BR",
    "KE"
  ],
  "indicators": [
    "NY.GDP.MKTP.CD",
    "NY.GDP.PCAP.CD",
    "FP.CPI.TOTL.ZG"
  ],
  "mostRecentOnly": false,
  "skipEmpty": true,
  "maxRows": 200
}
```

# 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 = {
    "countries": [
        "US",
        "CN",
        "IN",
        "BR",
        "KE"
    ],
    "indicators": [
        "NY.GDP.MKTP.CD",
        "NY.GDP.PCAP.CD",
        "FP.CPI.TOTL.ZG"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/world-economic-indicators-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "countries": [
        "US",
        "CN",
        "IN",
        "BR",
        "KE",
    ],
    "indicators": [
        "NY.GDP.MKTP.CD",
        "NY.GDP.PCAP.CD",
        "FP.CPI.TOTL.ZG",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/world-economic-indicators-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 '{
  "countries": [
    "US",
    "CN",
    "IN",
    "BR",
    "KE"
  ],
  "indicators": [
    "NY.GDP.MKTP.CD",
    "NY.GDP.PCAP.CD",
    "FP.CPI.TOTL.ZG"
  ]
}' |
apify call scrapemint/world-economic-indicators-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/L6lPkRUfdae3zzmcv/builds/53NMkCClPjqMaoXnM/openapi.json