# Eurostat EU Statistics Scraper (`crawlerbros/eurostat-eu-statistics-scraper`) Actor Fetch GDP, population, employment, inflation and 8000+ other EU statistical datasets from Eurostat's official API. Filter by country, time period, and indicator. No API key required. - **URL**: https://apify.com/crawlerbros/eurostat-eu-statistics-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 EU Statistics Scraper Fetch official European Union statistical data from **Eurostat's public API** — the EU's statistical office. Access GDP, population, employment, inflation, broadband penetration, health data, education statistics and 8,000+ other datasets covering all 27 EU member states. No API key required. ### What data can I get? - **GDP and economic indicators** — GDP, GDP per capita, national accounts (nama_10_gdp, nama_10_pc) - **Population statistics** — population by age group, sex, country (demo_pjanbroad, tps00001) - **Employment data** — employment rates, unemployment by sex, age, education (lfsi_emp_a) - **Inflation (HICP)** — harmonised consumer prices across EU countries (prc_hicp_manr) - **Digital economy** — internet/broadband access rates (isoc_r_broad_h) - **Health, education, environment** — 8,000+ additional datasets ### Features - **3 modes:** fetch a dataset with filters, search available datasets, or list EU countries - **Geo filtering** — specify specific EU country codes (e.g. DE, FR, IT, ES, PL) - **Time filtering** — filter data by year range (e.g. 2010–2023) - **Flat records** — complex multi-dimensional datasets denormalised into simple rows - **No API key** — uses Eurostat's official public REST API ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | select | `getDataset`, `searchDatasets`, or `listCountries` | | `datasetCode` | select | Eurostat dataset code (e.g. `nama_10_gdp`, `demo_pjanbroad`) | | `countryCodes` | text | Comma-separated ISO country codes (e.g. `DE,FR,IT`) | | `startYear` | integer | Filter data from this year (default: 2010) | | `endYear` | integer | Filter data up to this year (default: 2023) | | `searchQuery` | text | Keyword to search datasets (mode=searchDatasets) | | `maxItems` | integer | Max records to return (1–500, default: 100) | #### Supported dataset codes (dropdown) | Code | Description | |------|-------------| | `nama_10_gdp` | GDP and main components (output, expenditure, income) | | `demo_pjanbroad` | Population on 1 January by broad age group and sex | | `lfsi_emp_a` | Employment by sex, age and educational attainment | | `tps00001` | Population on 1 January (total) | | `nama_10_pc` | GDP and main components per capita | | `prc_hicp_manr` | HICP — annual average rate of change (inflation) | | `isoc_r_broad_h` | Broadband internet access — households | | `hlth_cd_aro` | Causes of death — all causes | | `educ_uoe_grad01` | Graduates by education level, orientation, sex, field | | `env_air_emis` | Air pollutants by source sector | ### Output Each record contains: | Field | Description | |-------|-------------| | `dataset` | Dataset code (e.g. `nama_10_gdp`) | | `datasetLabel` | Human-readable dataset name | | `indicator` | Statistical indicator / dimension combination | | `country` | Full country name (e.g. Germany) | | `countryCode` | ISO country code (e.g. DE) | | `year` | Reference year | | `value` | Numerical statistical value | | `unit` | Unit code (e.g. CP_MEUR, NR, PC_GDP) | | `unitLabel` | Human-readable unit | | `additionalDimensions` | Extra dimensions (age group, sex, sector, etc.) | | `scrapedAt` | ISO 8601 timestamp | ### Example: Population data for Germany, France, Italy **Input:** ```json { "mode": "getDataset", "datasetCode": "demo_pjanbroad", "countryCodes": "DE,FR,IT", "startYear": 2015, "endYear": 2023, "maxItems": 100 } ```` **Output sample:** ```json { "dataset": "demo_pjanbroad", "datasetLabel": "Population on 1 January by broad age group and sex", "indicator": "Total; Total; Number", "country": "Germany", "countryCode": "DE", "year": 2023, "value": 84482267, "unit": "NR", "unitLabel": "Number", "scrapedAt": "2024-01-15T10:30:00+00:00" } ``` ### Example: Search for datasets about employment **Input:** ```json { "mode": "searchDatasets", "searchQuery": "employment", "maxItems": 50 } ``` ### FAQs **Q: Is an API key required?** A: No. Eurostat's statistics API is completely free and open. No registration needed. **Q: How many datasets are available?** A: Over 8,000 datasets covering economics, demographics, health, environment, education, and more. **Q: What countries are supported?** A: All 27 EU member states plus Norway, Switzerland, Iceland and aggregate zones (EA20, EU27). **Q: What time periods are available?** A: Depends on the dataset — typically from the 1990s to the most recent release. GDP data often goes back to 2000+. **Q: Why do some country codes not appear in certain datasets?** A: Not all countries report every indicator. If a country has no data for a dataset, it simply won't appear in the output. **Q: What units are used?** A: Depends on the dataset. Common units: `NR` (Number), `CP_MEUR` (Current prices, million euros), `PC_GDP` (Percentage of GDP), `PC` (Percentage). **Q: Can I get data for non-EU countries?** A: Some datasets include candidate countries (e.g. Turkey, North Macedonia) and EFTA members (Norway, Switzerland). Use `listCountries` mode to see supported geo codes. ### Data Source Data sourced from [Eurostat](https://ec.europa.eu/eurostat) — the statistical office of the European Union. Data is updated regularly by Eurostat. For the latest update schedule, visit the [Eurostat data browser](https://ec.europa.eu/eurostat/databrowser/). # Actor input Schema ## `mode` (type: `string`): What to fetch: pull a dataset with filters, search available datasets by keyword, or list EU member states. ## `datasetCode` (type: `string`): Eurostat dataset code to fetch (mode=getDataset). Examples: nama\_10\_gdp (GDP), demo\_pjanbroad (population), lfsi\_emp\_a (employment), prc\_hicp\_manr (inflation). ## `countryCodes` (type: `string`): ISO 2-letter EU country codes to filter results, comma-separated. Example: DE,FR,IT,ES,PL. Leave empty for all countries. Applies to mode=getDataset. ## `startYear` (type: `integer`): Filter data from this year onwards (inclusive). Applies to mode=getDataset. ## `endYear` (type: `integer`): Filter data up to this year (inclusive). Applies to mode=getDataset. ## `searchQuery` (type: `string`): Keyword(s) to search for in dataset titles and descriptions (mode=searchDatasets). Example: employment, gdp, population. ## `maxItems` (type: `integer`): Maximum number of records to return. ## Actor input object example ```json { "mode": "getDataset", "datasetCode": "demo_pjanbroad", "countryCodes": "DE,FR,IT", "startYear": 2010, "endYear": 2023, "searchQuery": "employment", "maxItems": 100 } ``` # Actor output Schema ## `statistics` (type: `string`): Dataset containing all scraped Eurostat statistical records. # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "mode": "getDataset", "datasetCode": "demo_pjanbroad", "countryCodes": "DE,FR,IT", "startYear": 2010, "endYear": 2023, "searchQuery": "employment", "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/eurostat-eu-statistics-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "mode": "getDataset", "datasetCode": "demo_pjanbroad", "countryCodes": "DE,FR,IT", "startYear": 2010, "endYear": 2023, "searchQuery": "employment", "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/eurostat-eu-statistics-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 '{ "mode": "getDataset", "datasetCode": "demo_pjanbroad", "countryCodes": "DE,FR,IT", "startYear": 2010, "endYear": 2023, "searchQuery": "employment", "maxItems": 100 }' | apify call crawlerbros/eurostat-eu-statistics-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/eurostat-eu-statistics-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eurostat EU Statistics Scraper", "description": "Fetch GDP, population, employment, inflation and 8000+ other EU statistical datasets from Eurostat's official API. Filter by country, time period, and indicator. No API key required.", "version": "1.0", "x-build-id": "4RkrLtkXETXwI1QOq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~eurostat-eu-statistics-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-eurostat-eu-statistics-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~eurostat-eu-statistics-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-eurostat-eu-statistics-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~eurostat-eu-statistics-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-eurostat-eu-statistics-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "getDataset", "searchDatasets", "listCountries" ], "type": "string", "description": "What to fetch: pull a dataset with filters, search available datasets by keyword, or list EU member states.", "default": "getDataset" }, "datasetCode": { "title": "Dataset Code", "enum": [ "nama_10_gdp", "demo_pjanbroad", "lfsi_emp_a", "tps00001", "nama_10_pc", "prc_hicp_manr", "isoc_r_broad_h", "hlth_cd_aro", "educ_uoe_grad01", "env_air_emis" ], "type": "string", "description": "Eurostat dataset code to fetch (mode=getDataset). Examples: nama_10_gdp (GDP), demo_pjanbroad (population), lfsi_emp_a (employment), prc_hicp_manr (inflation).", "default": "nama_10_gdp" }, "countryCodes": { "title": "Country Codes (comma-separated)", "type": "string", "description": "ISO 2-letter EU country codes to filter results, comma-separated. Example: DE,FR,IT,ES,PL. Leave empty for all countries. Applies to mode=getDataset.", "default": "DE,FR,IT" }, "startYear": { "title": "Start Year", "minimum": 1990, "maximum": 2030, "type": "integer", "description": "Filter data from this year onwards (inclusive). Applies to mode=getDataset.", "default": 2010 }, "endYear": { "title": "End Year", "minimum": 1990, "maximum": 2030, "type": "integer", "description": "Filter data up to this year (inclusive). Applies to mode=getDataset.", "default": 2023 }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword(s) to search for in dataset titles and descriptions (mode=searchDatasets). Example: employment, gdp, population." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of records to return.", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```