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

{ "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 - 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 - 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 pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 - an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server - no account, no API key.
• 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.