# Eurostat Scraper - EU Statistics & Indicators (`scrapesage/eurostat-scraper`) Actor

Pull Eurostat datasets - GDP, inflation (HICP), unemployment, trade, population and thousands more - as clean one-row-per-observation data with country, period, unit and value. Filter by geo, time and any dimension. Official EU JSON-stat API - no key, no browser.

- **URL**: https://apify.com/scrapesage/eurostat-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** Other, Agents, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 1,000 observation collecteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Eurostat Scraper - EU Statistics & Indicators

Pull **Eurostat** datasets - **GDP**, **inflation (HICP)**, **unemployment**, **trade**, **population**
and **thousands more** - as clean **one-row-per-observation** data with country, period, unit, indicator
dimensions and value. The official JSON-stat response is unflattened for you into a flat table. Filter by
**geo**, **time** and any dataset dimension. No key, no browser.

### What you get per observation

| Field | Meaning |
|---|---|
| `dataset` / `datasetLabel` | The Eurostat dataset code and its title |
| `geo` / `geoLabel` | Country/geo code and name (incl. aggregates like EA20, EU27\_2020) |
| `time` / `timeLabel` | Period (year, quarter or month) |
| `value` / `flag` | The observation value and any Eurostat flag (e.g. `p` provisional, `e` estimate) |
| `<dimension>` / `<dimension>Label` | Every other dataset dimension (unit, na\_item, sex, age...) with its label |
| `updated` | When Eurostat last updated the dataset |

### Input

```json
{ "datasets": ["nama_10_gdp"], "geo": ["DE", "FR"], "time": ["2023"], "extraFilters": "na_item=B1GQ,unit=CP_MEUR" }
```

- **Dataset codes** - one per line (browse at ec.europa.eu/eurostat/web/main/data/database).
- **Geo** / **Time** - filter to specific countries and periods. **Extra filters** - other dimensions as
  `dim=value` (each dataset has its own: unit, na\_item, sex, age...).
- **Import from a file**, **Include empty values**, and **Output fields** work as on our other actors.

Leave everything empty and the run returns a small free sample (GDP for DE/FR, 2022-2023).

### Reliability

Reads the official [Eurostat JSON-stat API](https://ec.europa.eu/eurostat/web/main/data/web-services) -
public, keyless, no anti-bot. An unknown dataset code, filters that match nothing, or an empty result
bills **$0** and says what to fix.

### Honest limits

- **Datasets can be enormous** - an unfiltered dataset is millions of cells. Always filter by geo/time
  (and keep Max observations sane); the actor caps and charges only for rows saved.
- **Dimension fields vary by dataset** - GDP has `na_item`/`unit`; unemployment has `age`/`sex`. The row
  carries whatever dimensions that dataset defines, each with a label.
- **`unit` labels come from the dataset**; some series encode the unit in the dataset title too.
- **Missing observations are skipped** by default (turn on Include empty values to keep nulls).

### Pricing

**$0.0006 per observation** on the FREE tier (tiered pricing lowers it with volume) - priced for bulk,
since statistical datasets are dense. Only saved rows are billed.

### Output views

- **Observations** - dataset, indicator, geo, period, value and flag.

### Use with AI assistants (MCP)

Available through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) - an agent can
pull a cross-country inflation panel, a GDP time series, or any EU indicator for a briefing in one call.
Pairs with our World Bank Data scraper for global coverage.

### Agent-ready: autonomous payments (x402 & Skyfire)

This actor is **agent-ready** - AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:

- **[x402](https://docs.apify.com/platform/integrations/x402)** - an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) - no account, no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** - agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

# Actor input Schema

## `datasets` (type: `array`):

Eurostat dataset codes, one per line - e.g. <code>nama\_10\_gdp</code> (GDP), <code>prc\_hicp\_manr</code> (inflation), <code>une\_rt\_m</code> (unemployment), <code>demo\_pjan</code> (population). Browse codes at ec.europa.eu/eurostat/web/main/data/database. <b>Leave empty and the run returns a small free sample.</b>

## `geo` (type: `array`):

Country/geo codes to keep, one per line - e.g. <code>DE</code>, <code>FR</code>, <code>EU27\_2020</code>, <code>EA20</code>. Leave empty for all geos in the dataset.

## `time` (type: `array`):

Time periods to keep, one per line - e.g. <code>2023</code>, <code>2024-Q1</code>, <code>2024-06</code>. Leave empty for all periods.

## `extraFilters` (type: `string`):

Filter other dimensions as <code>dim=value</code>, comma-separated - e.g. <code>na\_item=B1GQ,unit=CP\_MEUR</code>. Each dataset has its own dimensions (unit, na\_item, sex, age...); see the dataset page. Leave empty for all.

## `includeEmptyValues` (type: `boolean`):

Keep observations Eurostat reports as empty/null. Off by default so you only pay for real data points.

## `datasetsFromFile` (type: `string`):

Bulk-load dataset codes. Either <b>paste the whole list</b> (one per line), or give <b>a single link</b> to a public <code>.txt</code>/<code>.csv</code>, a Google Sheet/Drive link, or an Apify key-value-store record. A file that cannot be read says so and charges nothing.

## `maxItems` (type: `integer`):

Overall cap on saved observations. Eurostat datasets can be huge - filter by geo/time and keep this sane. You are only charged for observations actually saved.

## `outputFields` (type: `array`):

Pick the fields you want and every record is trimmed to exactly those. Note: dimension fields vary by dataset (geo, time, unit, na\_item, sex, age...) and are always included when present; this list covers the stable ones.

## Actor input object example

```json
{
  "datasets": [
    "nama_10_gdp"
  ],
  "geo": [
    "DE",
    "FR"
  ],
  "time": [
    "2022",
    "2023"
  ],
  "includeEmptyValues": false,
  "maxItems": 50000
}
```

# Actor output Schema

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

Each record - a Eurostat observation with geo, period, unit and value - as a JSON item in the default dataset.

# 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 = {
    "datasets": [
        "nama_10_gdp"
    ],
    "geo": [
        "DE",
        "FR"
    ],
    "time": [
        "2022",
        "2023"
    ],
    "datasetsFromFile": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/eurostat-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 = {
    "datasets": ["nama_10_gdp"],
    "geo": [
        "DE",
        "FR",
    ],
    "time": [
        "2022",
        "2023",
    ],
    "datasetsFromFile": "",
}

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/eurostat-scraper").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 '{
  "datasets": [
    "nama_10_gdp"
  ],
  "geo": [
    "DE",
    "FR"
  ],
  "time": [
    "2022",
    "2023"
  ],
  "datasetsFromFile": ""
}' |
apify call scrapesage/eurostat-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/eurostat-scraper"
        }
    }
}

```

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/MucAKiPzL5GSQK9Ic/builds/hx8TktZnygLgpKkPo/openapi.json