# IMF World Economic Outlook Normalizer (`wakey7dev/imf-weo-normalizer`) Actor

Normalize IMF World Economic Outlook indicators into clean country-year data with ISO3 codes, units, forecast flags, deduplication, and readable summaries.

- **URL**: https://apify.com/wakey7dev/imf-weo-normalizer.md
- **Developed by:** [Chris Wakefield](https://apify.com/wakey7dev) (community)
- **Categories:** Business, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% 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)

## IMF World Economic Outlook Normalizer

Fetch IMF World Economic Outlook indicators through the free DBnomics API and return clean, analysis-ready country-year observations. The Actor adds consistent ISO3 country codes, human-readable indicator names and units, forecast flags, deduplication, and a readable summary table.

### Why use this Actor?

Macro researchers, economists, investment analysts, risk teams, and AI data pipelines need IMF forecasts in a predictable flat format. This Actor avoids manual spreadsheet cleanup and preserves the distinction between historical and forecast years.

### Inputs

| Parameter | Required | Description |
|---|---:|---|
| `countries` | Yes | Comma-separated ISO3 codes, e.g. `USA,GBR,DEU`; `ALL` uses a representative global set. |
| `indicators` | Yes | Comma-separated codes: `NGDP_RPCH` GDP growth, `PCPI` inflation, `LUR` unemployment, `GGXWDG_NGDP` debt, `BCA_NGDPD` current account. |
| `datasetVersion` | No | IMF WEO edition available in DBnomics; default `2024-10`. |
| `startYear` / `endYear` | No | Inclusive year range; defaults to 2020–2029. |
| `maxResults` | No | Maximum output rows; default 100, maximum 5,000. |

### Example input

```json
{"countries":"USA,GBR,DEU","indicators":"NGDP_RPCH,PCPI","datasetVersion":"2024-10","startYear":2020,"endYear":2029,"maxResults":100}
```

### Example output

```json
{"countryIso3":"USA","year":2025,"indicatorCode":"PCPI","indicatorName":"Inflation, average consumer prices","value":2.8,"unit":"% change","isForecast":true,"source":"IMF World Economic Outlook via DBnomics"}
```

The default dataset contains one normalized record per country, year, and indicator. The `OUTPUT` key-value record contains a formatted table; `STATS` contains machine-readable run statistics.

### Data source and attribution

Data is retrieved live from [DBnomics' IMF World Economic Outlook provider](https://api.db.nomics.world/v22/series/IMF/WEO:2024-10/USA.PCPI?observations=1), which republishes the IMF WEO dataset. Please review IMF and DBnomics licensing and attribution requirements for your use case.

# Actor input Schema

## `countries` (type: `string`):

Comma-separated ISO3 country codes, for example USA,GBR,DEU. Use ALL for the full available country set.

## `indicators` (type: `string`):

Comma-separated IMF WEO subject codes: NGDP\_RPCH GDP growth, PCPI inflation, LUR unemployment, GGXWDG\_NGDP government debt, or BCA\_NGDPD current account.

## `datasetVersion` (type: `string`):

DBnomics IMF WEO dataset edition, for example 2024-10.

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

First year to retrieve, inclusive.

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

Last year to retrieve, inclusive.

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

Maximum normalized observations to return.

## Actor input object example

```json
{
  "countries": "USA,GBR,DEU",
  "indicators": "NGDP_RPCH,PCPI",
  "datasetVersion": "2024-10",
  "startYear": 2020,
  "endYear": 2029,
  "maxResults": 100
}
```

# Actor output Schema

## `results` (type: `string`):

Full normalized observations.

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

Formatted result table.

## `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 = {
    "countries": "USA,GBR,DEU",
    "indicators": "NGDP_RPCH,PCPI"
};

// Run the Actor and wait for it to finish
const run = await client.actor("wakey7dev/imf-weo-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 = {
    "countries": "USA,GBR,DEU",
    "indicators": "NGDP_RPCH,PCPI",
}

# Run the Actor and wait for it to finish
run = client.actor("wakey7dev/imf-weo-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 '{
  "countries": "USA,GBR,DEU",
  "indicators": "NGDP_RPCH,PCPI"
}' |
apify call wakey7dev/imf-weo-normalizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wakey7dev/imf-weo-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/IvsPFB0jxoU3r0WAt/builds/hQBNK9gslc1Si2355/openapi.json