EU Energy & Education Data Search

Search 18 official European energy, skills, education, and research data sources in one run — including ENTSO-G gas infrastructure, Eurostat energy statistics, ESCO occupations and skills, education indicators, and OpenAIRE research publications.

• ✅ Search 18 official European data sources in parallel
• ✅ Get gas infrastructure records, energy statistics, skills taxonomy entries, education indicators, and research publication metadata
• ✅ Filter by topic, keyword, country, technology, occupation, or research theme
• ✅ Use one query across multiple EU data families instead of checking each portal manually
• ✅ Pay only for what you use with Apify pricing and exports

European public data is powerful, but it is scattered. Energy market data lives in ENTSO-G and Eurostat. Labor market skills data lives in ESCO. Education statistics sit in multiple Eurostat datasets. Research outputs are distributed through OpenAIRE. If you want to study a topic like solar, battery, engineering, energy efficiency, or grid modernization, you usually have to search multiple public portals one by one.

This Actor gives you one search workflow across all of them.

It is designed for analysts, researchers, policy teams, consultants, workforce planners, climate-tech operators, and AI agents that need structured European energy and education data without manually visiting each source.

This is an unofficial search tool built on top of official public European data sources. It is not affiliated with ENTSO-G, Eurostat, ESCO, or OpenAIRE.

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What you can do with it

1. Research European energy systems with one query

Search terms like solar, wind, hydrogen, natural gas, storage, or electricity across multiple energy-related datasets at once.

That means you can surface:

• ENTSO-G gas flow and interconnection infrastructure context
• Eurostat electricity price series
• Eurostat energy balance and supply statistics
• Eurostat renewable energy indicators

Instead of checking separate portals, you run one Actor and get one dataset back with source metadata attached to every row.

This is useful for:

• energy market research
• policy analysis
• consulting projects
• investor research
• EU climate and infrastructure monitoring

2. Map workforce demand, skills, and occupations with ESCO

If your topic is workforce-related, this Actor can search ESCO occupations and skills alongside education datasets.

Search terms like:

• electrician
• energy engineer
• grid technician
• data scientist
• sustainability manager

This helps with:

• curriculum planning
• workforce strategy
• labor market research
• green skills mapping
• training program design

3. Benchmark education indicators across Europe

The Eurostat education sources included here cover multiple perspectives on education systems, including enrollment, graduates, mobility, personnel, expenditure, and regional indicators.

That makes the Actor useful when you want to connect:

• education outcomes
• workforce readiness
• sector-specific skill demand
• public investment patterns

For example, you can search engineering, STEM, mobility, or technical education and review how education-related results compare with ESCO taxonomy entries and research outputs.

4. Find research publications and project outputs in OpenAIRE

Enable the OpenAIRE option when you want research publication metadata in the same search run.

This is useful for:

• literature scouting
• EU-funded research discovery
• academic topic mapping
• innovation landscape scans
• policy and grant research

For example, a search for green hydrogen or building decarbonization can return both public statistics context and publication metadata.

5. Use it from Apify, MCP, or automation tools

You can run this Actor:

• directly in the Apify UI
• from Make, n8n, or Zapier via the Apify integration
• from ChatGPT or Claude through Apify MCP
• from your own scripts through the Apify API

That makes it practical both for one-off analysis and repeatable data workflows.

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How to use it

You only need two things to get started:

1. one or more searchTerms
2. the data categories you want to include

At the top of this page, the default configuration is already filled in.

Default input

The Actor starts with this default configuration:

{
  "searchTerms": ["solar"],
  "includeGasInfrastructure": true,
  "includeEnergyStatistics": true,
  "includeEscoTaxonomy": true,
  "includeEducationStatistics": true,
  "includeResearchPublications": false,
  "maxResultsPerSource": 50
}

This is the fastest way to test the Actor because it searches a broad but still practical set of official EU sources with a common topic.

Example searches

You can use simple topic or entity terms such as:

• solar
• battery
• natural gas
• energy efficiency
• engineering
• electrician
• data scientist
• hydrogen
• offshore wind
• vocational education

Category toggles

You can decide which source families are included in the run:

Toggle	What it searches
includeGasInfrastructure	ENTSO-G gas flows and interconnection points
includeEnergyStatistics	Eurostat electricity prices, energy balances, supply, gas, oil, renewables
includeEscoTaxonomy	ESCO occupations and skills
includeEducationStatistics	Eurostat education indicators
includeResearchPublications	OpenAIRE research publications

If you only care about one area, turn the others off. That makes runs narrower and outputs easier to review.

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What you get back

The Actor returns a dataset of matching rows from the enabled sources.

Because the source systems are different, the record shape is source-specific. This is intentional. A Eurostat indicator row does not look like an ESCO skill entry, and an OpenAIRE publication does not look like an ENTSO-G infrastructure record.

What the Actor does guarantee is a shared set of metadata fields on every row:

Field	Meaning
_product_id	Internal source product identifier
_source	Human-readable source label
_search_term	The query that produced the row
_collected_at	UTC timestamp for collection

Typical output patterns

Depending on the source, returned rows may contain fields such as:

• name
• title
• country
• indicator
• value
• unit
• status
• occupation or skill labels
• publication metadata

The dataset view in Apify is configured to make the most common cross-source fields easier to scan:

• name
• country
• indicator
• value
• unit
• _source
• _search_term
• _collected_at

Example output shape

Here is an example of the common Actor-level enrichment layer:

{
  "name": "Example result",
  "country": "Germany",
  "indicator": "Renewable energy share",
  "value": "23.5",
  "unit": "%",
  "_product_id": "eu_eurostat_renewable_energy",
  "_source": "eurostat_renewable_energy",
  "_search_term": "solar",
  "_collected_at": "2026-04-18T10:00:00Z"
}

Your actual rows will vary by source. For example:

• ENTSO-G rows are infrastructure or gas-flow related
• Eurostat rows are statistical indicator records
• ESCO rows are taxonomy entries for occupations or skills
• OpenAIRE rows are publication metadata

If you need normalized downstream tables, use the _source field to branch your processing logic by source family.

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Data sources included

This Actor can query up to 18 official European sources.

ENTSO-G gas infrastructure

2 sources:

• gas flows
• interconnection points

Best for:

• gas network context
• cross-border infrastructure research
• European transmission analysis

Eurostat energy statistics

7 sources:

• household electricity prices
• industrial electricity prices
• electricity supply
• energy balance
• gas balance
• oil balance
• renewable energy indicators

Best for:

• energy market benchmarking
• country-level comparisons
• price and supply analysis
• renewable adoption tracking

ESCO taxonomy

2 sources:

• occupations
• skills

Best for:

• workforce intelligence
• education-to-jobs mapping
• skill classification
• occupation discovery

Eurostat education statistics

6 sources:

• enrollment
• expenditure
• graduates
• student mobility
• personnel
• regional indicators

Best for:

• higher education analysis
• technical education benchmarking
• policy work
• training and human capital research

OpenAIRE publications

1 source:

• research publications

Best for:

• research scouting
• innovation mapping
• academic discovery
• project landscape research

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Pricing

This Actor uses standard Apify pricing on the platform.

At the time of writing, the pricing shown in the Actor page is:

What triggers a charge	Cost
Actor start	$0.005
Each record	$0.002

That means the cost scales with the actual amount of data returned, not with a flat subscription.

If you are just testing search quality, keep:

• a small number of searchTerms
• maxResultsPerSource low
• only the relevant source toggles enabled

That gives you a cheap preview before running broader research pulls.

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When to use this Actor

Use this Actor when you want:

• broad topic search across EU energy and education data
• fast discovery across multiple official public data systems
• one output dataset instead of checking multiple public portals
• source-tagged results that can feed spreadsheets, dashboards, or LLM agents

It is especially useful if you are doing:

• European market intelligence
• policy analysis
• green skills research
• workforce planning
• research discovery
• education benchmarking

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When to use something else

This Actor is a search layer, not a full domain-specific ETL system.

You may want a different tool if you need:

• one single source with very deep field coverage and source-specific filters
• only financial or corporate registry data
• only health or compliance data
• only business entity data

In those cases, a narrower actor may be a better fit than a cross-domain EU search actor.

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FAQ

Does this Actor only search energy data?

No. It searches energy, skills, occupations, education statistics, and optionally research publications.

Are these official sources?

Yes. The included sources are official European public data systems such as ENTSO-G, Eurostat, ESCO, and OpenAIRE.

Is OpenAIRE included by default?

No. includeResearchPublications defaults to false so the default run stays focused and lighter.

Why do rows from different sources look different?

Because this Actor preserves source-native structure. Eurostat, ESCO, ENTSO-G, and OpenAIRE do not publish the same schema.

Can I use it from AI assistants?

Yes. You can use it through Apify MCP from tools such as ChatGPT and Claude, or run it through the Apify API in your own workflow.

What is the maximum result size?

maxResultsPerSource is capped at 200 per source by the gateway.

Does it return only one country?

Not necessarily. Results depend on the source and the search term. Some sources are EU-wide, and some rows may represent indicators, categories, or topics rather than one legal entity or one local record.

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Input reference

Field	Type	Default	Description
searchTerms	array of strings	["solar"]	Keywords searched across enabled EU source families
includeGasInfrastructure	boolean	true	Include ENTSO-G gas infrastructure data
includeEnergyStatistics	boolean	true	Include Eurostat energy data
includeEscoTaxonomy	boolean	true	Include ESCO occupations and skills
includeEducationStatistics	boolean	true	Include Eurostat education indicators
includeResearchPublications	boolean	false	Include OpenAIRE publication metadata
maxResultsPerSource	integer	50	Maximum rows returned per enabled source

If you want a simple first run, leave the defaults as they are and just click Start.