# Energi Data Service Scraper - Nordic Power & Balancing (`jungle_synthesizer/energidataservice-nordic-power-scraper`) Actor Pull electricity and gas data from Energinet API (Denmark TSO). Covers Day-Ahead spot prices (DK1/DK2/DE/NO/SE), production by technology (wind, solar, central), consumption by industry, balancing-market clearing (FCR, aFRR, mFRR), cross-border exchanges, real-time CO2 and gas-flow data. - **URL**: https://apify.com/jungle\_synthesizer/energidataservice-nordic-power-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Energi Data Service Scraper - Nordic Power & Balancing Extract electricity and gas data from [Energinet's Energi Data Service](https://energidataservice.dk) — Denmark's TSO (Transmission System Operator) public REST API. Covers the full Nordic + Baltic + Central European power market. No API key required. Free public data. One run = one dataset. ### What You Can Get | Dataset | Records | Description | |---------|---------|-------------| | `DayAheadPrices` | ~128K+ | Current wholesale spot prices (DK1, DK2, DE, NO1-NO5, SE1-SE4, FI) — EUR/MWh + DKK/MWh, hourly | | `Elspotprices` | ~1.8M | Historical Elspot prices (discontinued after 2025-09-30, use DayAheadPrices for live data) | | `ProductionConsumptionSettlement` | ~374K | Hourly generation by technology (offshore wind, onshore wind, solar by size bucket, central power, local power), gross consumption, cross-border exchanges (DE/NO/SE/NL/GB) | | `ElectricityBalanceNonv` | ~197K | Non-validated electricity balance: total load, offshore wind, onshore wind, solar, fossil, biomass | | `PowerSystemRightNow` | ~3.9M | 5-minute real-time: CO2 intensity, production >= 100MW / < 100MW, solar, wind, cross-border MW, aFRR + mFRR activated | | `mFRRCapacityMarket` | ~51K | mFRR balancing market: up/down demand, procured volume, clearing price (EUR/MWh) | | `ImbalancePrice` | ~83K | Imbalance settlement prices + aFRR/mFRR VWAP prices | | `FcrNdDK2` | ~1.77M | FCR-N and FCR-D clearing volume + price in DK2 | | `ConsumptionDK3619IndustryHour` | ~1.54M | Hourly consumption by industry sector (NACE DK36 + DK19 codes) | | `ConsumptionConsumerCategoryHour` | ~701K | Hourly consumption by consumer category and grid region | | `Gasflow` | ~4.5K | Daily Danish gas balance: Tyra, North Sea, biogas, Germany, Sweden, storage | ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `datasetName` | string | `DayAheadPrices` | Which dataset to fetch (see table above) | | `startDate` | string | (empty) | Filter from this datetime: `YYYY-MM-DDThh:mm` e.g. `2026-01-01T00:00`. Leave empty for no lower bound | | `endDate` | string | (empty) | Filter up to this datetime: `YYYY-MM-DDThh:mm`. Leave empty for no upper bound | | `sortOrder` | string | `DESC` | `DESC` = newest first, `ASC` = oldest first | | `maxItems` | integer | `10` | Maximum records to return. Datasets have millions of records — use date filters | #### Example: Day-Ahead Prices for one month ```json { "datasetName": "DayAheadPrices", "startDate": "2026-01-01T00:00", "endDate": "2026-02-01T00:00", "sortOrder": "ASC", "maxItems": 5000 } ```` #### Example: Production by Technology (recent week) ```json { "datasetName": "ProductionConsumptionSettlement", "startDate": "2026-05-01T00:00", "sortOrder": "DESC", "maxItems": 2000 } ``` #### Example: Balancing Market Clearing ```json { "datasetName": "mFRRCapacityMarket", "startDate": "2026-01-01T00:00", "endDate": "2026-04-01T00:00", "maxItems": 10000 } ``` ### Output Schema Each record includes `dataset` (which dataset it came from) and `source_url`, plus dataset-specific fields: | Field | Datasets | Description | |-------|---------|-------------| | `hour_utc` | all | Timestamp in UTC | | `hour_dk` | most | Timestamp in Danish local time | | `price_area` | price datasets | Bidding zone: DK1, DK2, DE, NO1-NO5, SE1-SE4, etc. | | `day_ahead_price_eur` | DayAheadPrices, Elspotprices | Price in EUR/MWh | | `day_ahead_price_dkk` | DayAheadPrices, Elspotprices | Price in DKK/MWh | | `solar_power_mwh` | ProductionConsumptionSettlement | Summed solar production across all size brackets | | `offshore_wind_ge100mw_mwh` | ProductionConsumptionSettlement | Large offshore wind (MWh) | | `gross_consumption_mwh` | ProductionConsumptionSettlement | Total gross consumption (MWh) | | `exchange_no_mwh` | ProductionConsumptionSettlement | Exchange to/from Norway (MWh) | | `up_procured_mw` | mFRRCapacityMarket | mFRR up-regulation procured (MW) | | `up_price_eur` | mFRRCapacityMarket | mFRR up-regulation clearing price (EUR/MWh) | | `co2_emission` | PowerSystemRightNow | CO2 emission intensity (g/kWh) | | `industry_code` | ConsumptionDK3619IndustryHour | NACE sector code | | `consumption_mwh` | ConsumptionDK3619IndustryHour | Hourly consumption (MWh) | | `extra_fields` | all | Additional dataset-specific fields as JSON string | ### Use Cases - **Energy trading desks** — Pull wholesale prices and balancing market data for spread analysis and real-time position tracking - **Battery / V2G operators** — Monitor FCR, aFRR, mFRR clearing prices to optimize charging schedules and bid frequency reserve markets - **Cleantech investors** — Track wind/solar penetration and cross-border exchange patterns to evaluate grid integration - **Grid decarbonisation researchers** — Hourly CO2 intensity + generation mix + exchange data for lifecycle analysis - **Industrial PPA hedgers** — Correlate industrial consumption patterns with wholesale price volatility ### Notes - **Date filters:** Required for large datasets. Without a date range, `maxItems` limits results from the most recent records. - **Elspotprices is discontinued:** Data stops at 2025-09-30. Use `DayAheadPrices` for live market data. - **PowerSystemRightNow:** 5-minute intervals produce ~288 records/day per area — use tight date ranges. - **No proxy needed:** Public government API with no rate limiting for normal usage. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `datasetName` (type: `string`): Which Energi Data Service dataset to fetch. DayAheadPrices = current wholesale spot prices (DK1/DK2/DE/NO/SE). Elspotprices = historical spot prices (discontinued after 2025-09-30). ProductionConsumptionSettlement = generation by technology + cross-border exchanges. PowerSystemRightNow = 5-minute real-time CO2 + production + exchanges. mFRRCapacityMarket = mFRR balancing market clearing. ImbalancePrice = imbalance + aFRR/mFRR prices. FcrNdDK2 = FCR-N/FCR-D clearing DK2. ElectricityBalanceNonv = hourly electricity balance by technology. ConsumptionDK3619IndustryHour = industry-level consumption by NACE code. ConsumptionConsumerCategoryHour = consumption by consumer category. Gasflow = Danish gas flow data. ## `startDate` (type: `string`): Filter records from this date/time (inclusive). Format: YYYY-MM-DDThh:mm e.g. 2026-01-01T00:00. Leave empty for no lower bound. ## `endDate` (type: `string`): Filter records up to this date/time (exclusive). Format: YYYY-MM-DDThh:mm e.g. 2026-02-01T00:00. Leave empty for no upper bound. ## `sortOrder` (type: `string`): Sort direction for the time column. DESC returns most recent records first. ## `maxItems` (type: `integer`): Maximum number of records to return. Each dataset can have millions of records — use date filters to narrow the range. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "datasetName": "DayAheadPrices", "sortOrder": "DESC", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "datasetName": "DayAheadPrices", "startDate": "", "endDate": "", "sortOrder": "DESC", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/energidataservice-nordic-power-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "datasetName": "DayAheadPrices", "startDate": "", "endDate": "", "sortOrder": "DESC", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/energidataservice-nordic-power-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "datasetName": "DayAheadPrices", "startDate": "", "endDate": "", "sortOrder": "DESC", "maxItems": 10 }' | apify call jungle_synthesizer/energidataservice-nordic-power-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/energidataservice-nordic-power-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Energi Data Service Scraper - Nordic Power & Balancing", "description": "Pull electricity and gas data from Energinet API (Denmark TSO). Covers Day-Ahead spot prices (DK1/DK2/DE/NO/SE), production by technology (wind, solar, central), consumption by industry, balancing-market clearing (FCR, aFRR, mFRR), cross-border exchanges, real-time CO2 and gas-flow data.", "version": "0.1", "x-build-id": "v8aIzYyxe503Y5LO2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~energidataservice-nordic-power-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-energidataservice-nordic-power-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/jungle_synthesizer~energidataservice-nordic-power-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-energidataservice-nordic-power-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/jungle_synthesizer~energidataservice-nordic-power-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-energidataservice-nordic-power-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": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "datasetName": { "title": "Dataset Name", "enum": [ "DayAheadPrices", "Elspotprices", "ProductionConsumptionSettlement", "PowerSystemRightNow", "mFRRCapacityMarket", "ImbalancePrice", "FcrNdDK2", "ElectricityBalanceNonv", "ConsumptionDK3619IndustryHour", "ConsumptionConsumerCategoryHour", "Gasflow" ], "type": "string", "description": "Which Energi Data Service dataset to fetch. DayAheadPrices = current wholesale spot prices (DK1/DK2/DE/NO/SE). Elspotprices = historical spot prices (discontinued after 2025-09-30). ProductionConsumptionSettlement = generation by technology + cross-border exchanges. PowerSystemRightNow = 5-minute real-time CO2 + production + exchanges. mFRRCapacityMarket = mFRR balancing market clearing. ImbalancePrice = imbalance + aFRR/mFRR prices. FcrNdDK2 = FCR-N/FCR-D clearing DK2. ElectricityBalanceNonv = hourly electricity balance by technology. ConsumptionDK3619IndustryHour = industry-level consumption by NACE code. ConsumptionConsumerCategoryHour = consumption by consumer category. Gasflow = Danish gas flow data.", "default": "DayAheadPrices" }, "startDate": { "title": "Start Date", "type": "string", "description": "Filter records from this date/time (inclusive). Format: YYYY-MM-DDThh:mm e.g. 2026-01-01T00:00. Leave empty for no lower bound." }, "endDate": { "title": "End Date", "type": "string", "description": "Filter records up to this date/time (exclusive). Format: YYYY-MM-DDThh:mm e.g. 2026-02-01T00:00. Leave empty for no upper bound." }, "sortOrder": { "title": "Sort Order", "enum": [ "DESC", "ASC" ], "type": "string", "description": "Sort direction for the time column. DESC returns most recent records first.", "default": "DESC" }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of records to return. Each dataset can have millions of records — use date filters to narrow the range.", "default": 10 } } }, "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 } } } } } } } } } } ```