# ENTSO-E European Power Market Scraper - Prices & Generation (`jungle_synthesizer/entsoe-european-power-market-scraper`) Actor Pull EU electricity-market data from the ENTSO-E Transparency Platform: day-ahead prices, load, generation by fuel type (nuclear, gas, wind, solar, hydro), cross-border flows, outages. All 61 EU bidding zones. No API key or signup — pick a dataset, zones, and date range. - **URL**: https://apify.com/jungle\_synthesizer/entsoe-european-power-market-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 ## ENTSO-E European Power Market Scraper Pull EU electricity-market data from the [ENTSO-E Transparency Platform](https://transparency.entsoe.eu/) REST API. Extracts day-ahead prices, actual load, generation by fuel type (nuclear, gas, wind, solar, hydro), cross-border physical flows, and installed capacity across all 61 EU bidding zones. The actor calls `https://web-api.tp.entsoe.eu/api` directly — no browser rendering, no proxy required, no API key or signup on your side. The API returns XML in IEC 62325 format; the actor parses it into flat time-series rows ready for spreadsheet or database ingestion. ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `datasetType` | select | `day_ahead_price` | Dataset to fetch: `day_ahead_price`, `actual_load`, `actual_generation_by_type`, `installed_capacity_by_type`, or `cross_border_flow`. | | `biddingZones` | string list | _(all 20 major zones)_ | EIC codes or short labels (e.g. `DE_LU`, `FR`, `NL`, `IT_NORD`, `NO_4`). Leave empty to query all 20 major zones. | | `periodFrom` | string | 24 hours ago | UTC start of the query window. ISO 8601 format: `2026-05-01T00:00Z` or `2026-05-01`. | | `periodTo` | string | now | UTC end of the query window. ISO 8601 format: `2026-05-02T00:00Z` or `2026-05-02`. | | `maxItems` | integer | `10` | Maximum number of time-series rows to return. Set to `0` for unlimited. | ### Supported Datasets | Dataset | ENTSO-E Code | Typical Resolution | Description | |---------|-------------|-------------------|-------------| | Day-Ahead Price | A44 | PT60M / PT15M | EUR/MWh prices published daily by 13:00 CET for the next day | | Actual Total Load | A65 | PT60M / PT15M | Realised system load with ~1h lag | | Actual Generation by Type | A75 | PT60M / PT15M | Realised generation per fuel type (nuclear, gas, wind, solar, hydro, etc.) | | Installed Capacity by Type | A68 | PT60M / monthly | Installed capacity per fuel type — rarely changes | | Cross-Border Physical Flow | A88 | PT60M | Net directional MW flow between adjacent zones | ### Bidding Zone Labels The actor accepts both short labels and raw EIC codes: | Short Label | EIC Code | Zone | |------------|---------|------| | `DE_LU` | `10YDE-VE-------2` | Germany + Luxembourg | | `FR` | `10YFR-RTE------C` | France | | `NL` | `10YNL----------L` | Netherlands | | `BE` | `10YBE----------2` | Belgium | | `ES` | `10YES-REE------0` | Spain | | `IT_NORD` | `10YIT-GRTN-----B` | Italy North | | `NO_4` | `10YNO-4--------9` | Norway 4 | Leave `biddingZones` empty to query the 20 major EU zones automatically. ### Output Schema Each dataset row is a flat object with fields relevant to the requested dataset type. Fields not applicable to the dataset type are omitted. | Field | Type | Description | |-------|------|-------------| | `dataset_type` | string | One of: `day_ahead_price`, `actual_load`, `actual_generation_by_type`, `installed_capacity_by_type`, `cross_border_flow` | | `bidding_zone` | string | EIC code of the bidding zone | | `bidding_zone_label` | string | Human-readable label (e.g. `DE_LU`, `FR`) | | `period_start` | string | UTC start of the interval (ISO 8601) | | `period_end` | string | UTC end of the interval (ISO 8601) | | `resolution` | string | `PT60M` (hourly) or `PT15M` (15-minute) | | `market` | string | `day_ahead`, `actual`, `installed_capacity`, or `cross_border` | | `price_eur_per_mwh` | number | Day-ahead price in EUR/MWh _(day_ahead_price only)_ | | `generation_mw` | number | Actual generation in MW _(actual_generation_by_type only)_ | | `installed_capacity_mw` | number | Installed capacity in MW _(installed_capacity_by_type only)_ | | `actual_load_mw` | number | Actual total load in MW _(actual_load only)_ | | `flow_mw` | number | Cross-border flow in MW, positive = net export from `in_area` to `out_area` _(cross_border_flow only)_ | | `production_type` | string | Fuel/technology label (e.g. `Nuclear`, `Fossil_Gas`, `Wind_Onshore`, `Solar`) _(generation/capacity only)_ | | `in_area` | string | Source zone EIC code _(cross_border_flow only)_ | | `out_area` | string | Destination zone EIC code _(cross_border_flow only)_ | | `currency` | string | Always `EUR` | | `scraped_at` | string | UTC fetch timestamp (ISO 8601) | ### Use Cases - **Energy trading and analytics** — Pull day-ahead price curves for arbitrage analysis or portfolio valuation across all CWE/Nordic/Iberian zones - **Grid operations research** — Analyse actual load vs. generation by fuel mix for a given zone and time window - **Carbon footprint modeling** — Combine generation-by-type data with emission factors for real-time or historical carbon intensity estimates - **Academic research** — Download multi-year historical data for econometric or ML studies on European electricity markets - **Cross-border flow monitoring** — Track hourly MW flows on interconnectors for congestion analysis ### Limits 400 requests per minute is shared across all concurrent runs of this actor. Heavy back-fill jobs over many zones may queue. For zones / periods that return no data (HTTP 400 "No matching data found"), this is normal — the zone simply doesn't publish that dataset for that window. # 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. ## `datasetType` (type: `string`): Which ENTSO-E dataset to pull. Each corresponds to a documentType code. ## `biddingZones` (type: `array`): EIC codes or short labels (e.g. DE_LU, FR, NL, IT_NORD, NO_4). Leave empty to query all 20 major zones. ## `periodFrom` (type: `string`): ISO 8601 datetime string, e.g. 2026-05-01T00:00Z or 2026-05-01. Defaults to 24h ago. ## `periodTo` (type: `string`): ISO 8601 datetime string, e.g. 2026-05-02T00:00Z or 2026-05-02. Defaults to now. ## `maxItems` (type: `integer`): Maximum number of time-series rows to return (0 = unlimited). ## `proxyConfiguration` (type: `object`): ENTSO-E API does not require a proxy. Leave as default. ## 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...", "datasetType": "day_ahead_price", "biddingZones": [], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ```` # 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...", "datasetType": "day_ahead_price", "biddingZones": [], "periodFrom": "", "periodTo": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/entsoe-european-power-market-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...", "datasetType": "day_ahead_price", "biddingZones": [], "periodFrom": "", "periodTo": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/entsoe-european-power-market-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...", "datasetType": "day_ahead_price", "biddingZones": [], "periodFrom": "", "periodTo": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }' | apify call jungle_synthesizer/entsoe-european-power-market-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/entsoe-european-power-market-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ENTSO-E European Power Market Scraper - Prices & Generation", "description": "Pull EU electricity-market data from the ENTSO-E Transparency Platform: day-ahead prices, load, generation by fuel type (nuclear, gas, wind, solar, hydro), cross-border flows, outages. All 61 EU bidding zones. No API key or signup — pick a dataset, zones, and date range.", "version": "0.1", "x-build-id": "FC6qkSRg0yNSXcKvQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~entsoe-european-power-market-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-entsoe-european-power-market-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~entsoe-european-power-market-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-entsoe-european-power-market-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~entsoe-european-power-market-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-entsoe-european-power-market-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." }, "datasetType": { "title": "Dataset", "enum": [ "day_ahead_price", "actual_load", "actual_generation_by_type", "installed_capacity_by_type", "cross_border_flow" ], "type": "string", "description": "Which ENTSO-E dataset to pull. Each corresponds to a documentType code." }, "biddingZones": { "title": "Bidding Zones", "type": "array", "description": "EIC codes or short labels (e.g. DE_LU, FR, NL, IT_NORD, NO_4). Leave empty to query all 20 major zones.", "items": { "type": "string" } }, "periodFrom": { "title": "Period From (UTC)", "type": "string", "description": "ISO 8601 datetime string, e.g. 2026-05-01T00:00Z or 2026-05-01. Defaults to 24h ago." }, "periodTo": { "title": "Period To (UTC)", "type": "string", "description": "ISO 8601 datetime string, e.g. 2026-05-02T00:00Z or 2026-05-02. Defaults to now." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of time-series rows to return (0 = unlimited).", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "ENTSO-E API does not require a proxy. Leave as default." } } }, "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 } } } } } } } } } } ```