# UNHCR Refugee Population Intelligence (`wakey7dev/unhcr-refugee-normalizer`) Actor

Extract UNHCR refugee data — displacement, asylum, resettlement by country. Humanitarian research, NGO analysis, migration policy.

- **URL**: https://apify.com/wakey7dev/unhcr-refugee-normalizer.md
- **Developed by:** [Chris Wakefield](https://apify.com/wakey7dev) (community)
- **Categories:** Business
- **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)

## UNHCR Refugee Data Normalizer

Search and normalize current UNHCR Refugee Data Finder statistics for refugees, asylum-seekers, internally displaced people and stateless populations. The Actor cleans text and ISO fields, converts numeric measures consistently, removes duplicate records and adds a comparable total-displaced-or-stateless measure while retaining the original population dimensions.

### Why use this Actor?

UNHCR data is authoritative but returned with inconsistent placeholder values and mixed numeric representations. This Actor produces analysis-ready records for humanitarian reporting, NGO programme planning, academic research, country-risk analysis and grant intelligence.

### Input parameters

| Parameter | Type | Default | Description |
|---|---:|---:|---|
| `yearFrom` | integer | `2023` | First year to include |
| `yearTo` | integer | `2023` | Last year to include |
| `countryOfOrigin` | string | — | Optional 3-letter ISO origin code, e.g. `SYR` |
| `countryOfAsylum` | string | — | Optional 3-letter ISO asylum-location code, e.g. `DEU` |
| `maxResults` | integer | `100` | Maximum records, up to 1,000 |

#### Example input

```json
{"yearFrom": 2022, "yearTo": 2023, "countryOfOrigin": "SYR", "maxResults": 25}
```

#### Example normalized output

```json
{"year": 2023, "cooName": "Syrian Arab Republic", "cooIso": "SYR", "coaName": "Germany", "coaIso": "DEU", "refugees": 789123, "asylum_seekers": 32145, "idps": 0, "stateless": 0, "totalDisplacedOrStateless": 821268, "source": "UNHCR Refugee Data Finder"}
```

The default dataset contains one normalized record per result. The `OUTPUT` key-value record contains a readable summary table, and `STATS` contains machine-readable totals.

### Data source and attribution

Data is retrieved live from the [UNHCR Refugee Data Finder API](https://api.unhcr.org/docs/refugee-statistics.html). UNHCR data is provided under the terms shown by the source. Please attribute UNHCR when publishing derived analyses.

# Actor input Schema

## `yearFrom` (type: `integer`):

First year to include.

## `yearTo` (type: `integer`):

Last year to include.

## `countryOfOrigin` (type: `string`):

Optional three-letter ISO code, for example SYR or UKR.

## `countryOfAsylum` (type: `string`):

Optional three-letter ISO code, for example DEU or USA.

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

Maximum normalized records to return.

## Actor input object example

```json
{
  "yearFrom": 2023,
  "yearTo": 2023,
  "maxResults": 100
}
```

# Actor output Schema

## `dataset` (type: `string`):

All normalized records.

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

Human-readable formatted summary.

## `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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("wakey7dev/unhcr-refugee-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("wakey7dev/unhcr-refugee-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 '{}' |
apify call wakey7dev/unhcr-refugee-normalizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wakey7dev/unhcr-refugee-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/ZyUzKeiz4jarV9qoE/builds/bfLMioR3Ks0kaf9yk/openapi.json