# Europe House Prices: Index and Change by Country (`scrapemint/europe-house-prices`) Actor

Eurostat's official house price index for 38 European countries: index level, quarterly change and annual change, for all dwellings or split into new and existing homes. Keyless, no browser and no proxy.

- **URL**: https://apify.com/scrapemint/europe-house-prices.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** Real estate, 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/platform/actors/running/actors-in-store#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

## Europe House Prices

Eurostat's official house price index for 38 European countries: the index level, how prices moved on the previous quarter, and how they moved on the same quarter a year earlier.

This is the European Union's own statistical measure, not portal asking prices. You can look at all dwellings together, or split new build from existing homes.

No login, no API key, no proxy.

### What you get

One row per country per quarter:

```json
{
  "country": "Portugal",
  "geoCode": "PT",
  "quarter": "2026-Q1",
  "purchase": "TOTAL",
  "purchaseLabel": "all dwellings",
  "index2015": 290.98,
  "changeQuarterPct": 3.8,
  "changeYearPct": 17.8,
  "indexUnit": "index, 2015 = 100"
}
```

### Input

| Field | Description |
| --- | --- |
| `countries` | Eurostat geo codes, e.g. `["DE","FR","ES"]`. Empty returns all 38 |
| `purchase` | `TOTAL`, `DW_NEW` (new dwellings) or `DW_EXST` (existing dwellings) |
| `mode` | `latest` (most recent quarter) or `history` |
| `periods` | History mode only, how many recent quarters per country |
| `maxRows` | Total rows returned (default 200) |

Aggregates work as well as countries, so `EU27_2020` and `EA20` give the union and euro area totals.

### Examples

Latest quarter across Europe:

```json
{ "mode": "latest" }
```

Three years of history for the big four:

```json
{ "mode": "history", "countries": ["DE","FR","ES","IT"], "periods": 12 }
```

New build prices only:

```json
{ "mode": "latest", "purchase": "DW_NEW" }
```

### Things worth knowing

The index is set so that 2015 equals 100. A country can therefore sit at 290 while another sits at 126 purely because prices rose faster there since 2015, so compare the change columns rather than the index levels across countries.

Eurostat publishes quarterly and in arrears, so the newest quarter is not the current one.

Anything Eurostat has not published for a country and quarter comes back as `null` and never as a zero, so a missing figure cannot be mistaken for a flat market.

Countries genuinely do land on identical numbers sometimes. Italy and the Netherlands both recorded a 1.0 percent quarterly and 5.2 percent annual move in 2026 Q1, which is a coincidence in the data rather than a fault.

### Who it's for

Property investors comparing European markets, banks and proptech dashboards, relocation services, and analysts tracking housing across the continent. Completes the picture with **UK House Prices** and **US Rent and Home Price Index** for the same question in Britain and America.

### Pricing

Pay per country row. The first 2 rows of every run are free so you can validate the output before you pay.

# Actor input Schema

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

Eurostat geo codes, e.g. \["DE","FR","ES"]. Aggregates such as EU27\_2020 and EA20 also work. Leave empty for all 38.

## `purchase` (type: `string`):

Which homes the index covers.

## `mode` (type: `string`):

latest = the most recent quarter. history = several recent quarters per country.

## `periods` (type: `integer`):

History mode only. How many recent quarters to return per country.

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

Total rows to return.

## Actor input object example

```json
{
  "countries": [
    "DE",
    "FR",
    "ES",
    "IT"
  ],
  "purchase": "TOTAL",
  "mode": "latest",
  "periods": 12,
  "maxRows": 200
}
```

# Actor output Schema

## `rows` (type: `string`):

House price index level, change on the previous quarter and change on the same quarter a year earlier for each European country.

# 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": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/europe-house-prices").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": [] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/europe-house-prices").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": []
}' |
apify call scrapemint/europe-house-prices --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapemint/europe-house-prices"
        }
    }
}

```

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/nT1bI3VxZvZRREoPs/builds/zKE6T1TYINQtxhAPf/openapi.json