# European Data Centers Scraper (`janabarkova/european-data-centers`) Actor Get a structured dataset of data center & colocation facilities across Europe (geo-coordinates, operator, address, website, contacts and full OpenStreetMap details). Data © OpenStreetMap contributors, ODbL. - **URL**: https://apify.com/janabarkova/european-data-centers.md - **Developed by:** [Jana Barková](https://apify.com/janabarkova) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.20 / 1,000 results 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 ## European Data Centers Scraper 🇪🇺🖥️ Get a clean, structured dataset of **data center and colocation facilities across Europe** — with coordinates, operator, address, contact details and the full set of OpenStreetMap attributes for each facility. Built on open [OpenStreetMap](https://www.openstreetmap.org/) data, it covers ~44 European countries and returns one clean, ready-to-use record per facility — perfect for mapping, market research, lead lists, or analysis. ### What you get - ✅ **Whole of Europe** in a single run, or just the countries you choose. - ✅ **Map-ready coordinates** for every facility. - ✅ **Name, operator, full address, website, phone, email** wherever available. - ✅ **Extra details** where mapped: power, capacity, building type, year opened, and more. - ✅ Clean, consistent, spreadsheet-friendly records — same columns every time. ### How to use it Just two simple settings: - **Countries** — leave empty to get **all of Europe**, or pick one or more specific countries from the list. - **Max results** — choose how many data centers to return: **10**, **100**, **1,000**, or **All results**. Example (Germany, Netherlands and France, up to 1,000 results): ```json { "countries": ["DE", "NL", "FR"], "maxResults": "1000" } ```` Leave both at their defaults to get up to 1,000 data centers from across all of Europe. ### Output Each dataset item is a single data-center facility. A well-tagged facility looks like this: ```json { "source": "openstreetmap", "osm_type": "way", "osm_id": 142366497, "osm_url": "https://www.openstreetmap.org/way/142366497", "name": "CE Colo", "operator": "CE Colo Czech s.r.o.", "category": "telecom=data_center", "latitude": 50.06015, "longitude": 14.4829496, "country": "CZ", "city": "Praha 10", "street": "Nad Elektrárnou", "housenumber": "1428/47", "postcode": "10600", "full_address": "Nad Elektrárnou 1428/47, 10600 Praha 10", "website": "https://www.cecolo.com/", "phone": "+420 255 790 300", "email": "info@cecolo.com", "building": "commercial", "start_date": "2005-06-01", "all_tags": { "...": "complete raw OSM tags for this facility" } } ``` A minimally-tagged facility carries the same fields, with the unmapped ones set to `null`: ```json { "source": "openstreetmap", "osm_type": "node", "osm_id": 987654321, "osm_url": "https://www.openstreetmap.org/node/987654321", "name": "MasterDC Praha", "operator": null, "category": "telecom=data_center", "latitude": 50.0696342, "longitude": 14.4638926, "country": "CZ", "city": null, "street": null, "housenumber": null, "postcode": null, "full_address": null, "website": "https://www.master.cz/", "phone": null, "email": null, "power": null, "building": null, "start_date": null, "all_tags": { "name": "MasterDC Praha", "telecom": "data_center", "website": "https://www.master.cz/" } } ``` #### Field availability Every record has the **same, consistent set of fields** (so every column always appears in the dataset table / CSV / Excel export): - **Always filled:** `source`, `osm_type`, `osm_id`, `osm_url`, `category`, `latitude`, `longitude`, `country`, and `all_tags`. `country` is resolved from each facility's coordinates, so it is always present and accurate (not dependent on patchy OSM address tags). - **Optional:** `name`, `operator`, `city`, `street`, `housenumber`, `postcode`, `full_address`, `website`, `phone`, `email`, `brand`, `network`, `ref`, `power`, `generator_output`, `capacity`, `building`, `building_levels`, `height`, `start_date`. The optional fields are **populated when OpenStreetMap has that data and set to `null` when it doesn't** — they are always present as keys, so the schema never changes between records. How many are filled depends on how richly that specific facility is mapped: major hubs (Equinix, Digital Realty, CE Colo…) tend to include operator, address, contacts and more, while smaller sites may only have a name and coordinates. The `all_tags` object always contains the complete raw OpenStreetMap tag set for the facility, so no source attribute is ever lost. ### Coverage & notes - Coverage comes from OpenStreetMap. Major hubs (Frankfurt, Amsterdam, Paris, London) are very well represented; coverage of smaller facilities varies by region. - A full all-Europe run finishes in well under a minute. ### License & attribution Data is sourced from **OpenStreetMap** and provided under the **Open Database License (ODbL)**. > Data © OpenStreetMap contributors — https://www.openstreetmap.org/copyright > Licensed under the Open Database License (ODbL): https://opendatacommons.org/licenses/odbl/ If you redistribute or build a product on this dataset you must **attribute OpenStreetMap** and, under ODbL **share-alike**, make any derived database available under ODbL. Each run also stores the exact attribution string in the key-value store under `ATTRIBUTION`. # Actor input Schema ## `countries` (type: `array`): Leave empty to get all of Europe, or pick one or more specific countries. ## `maxResults` (type: `string`): How many data centers to return. ## Actor input object example ```json { "countries": [], "maxResults": "1000" } ``` # Actor output Schema ## `dataCenters` (type: `string`): All scraped European data center facilities, one item per facility. ## `attribution` (type: `string`): OpenStreetMap / ODbL attribution and result count for this run. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("janabarkova/european-data-centers").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 = {} # Run the Actor and wait for it to finish run = client.actor("janabarkova/european-data-centers").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 '{}' | apify call janabarkova/european-data-centers --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=janabarkova/european-data-centers", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "European Data Centers Scraper", "description": "Get a structured dataset of data center & colocation facilities across Europe (geo-coordinates, operator, address, website, contacts and full OpenStreetMap details). Data © OpenStreetMap contributors, ODbL.", "version": "0.1", "x-build-id": "sitOhxpIkXWaGAaPB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/janabarkova~european-data-centers/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-janabarkova-european-data-centers", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/janabarkova~european-data-centers/runs": { "post": { "operationId": "runs-sync-janabarkova-european-data-centers", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/janabarkova~european-data-centers/run-sync": { "post": { "operationId": "run-sync-janabarkova-european-data-centers", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "countries": { "title": "Countries", "type": "array", "description": "Leave empty to get all of Europe, or pick one or more specific countries.", "items": { "type": "string", "enum": [ "AD", "AL", "AT", "BA", "BE", "BG", "BY", "CH", "CY", "CZ", "DE", "DK", "EE", "ES", "FI", "FR", "GB", "GR", "HR", "HU", "IE", "IS", "IT", "LI", "LT", "LU", "LV", "MC", "MD", "ME", "MK", "MT", "NL", "NO", "PL", "PT", "RO", "RS", "SE", "SI", "SK", "SM", "UA", "VA" ], "enumTitles": [ "Andorra (AD)", "Albania (AL)", "Austria (AT)", "Bosnia and Herzegovina (BA)", "Belgium (BE)", "Bulgaria (BG)", "Belarus (BY)", "Switzerland (CH)", "Cyprus (CY)", "Czechia (CZ)", "Germany (DE)", "Denmark (DK)", "Estonia (EE)", "Spain (ES)", "Finland (FI)", "France (FR)", "United Kingdom (GB)", "Greece (GR)", "Croatia (HR)", "Hungary (HU)", "Ireland (IE)", "Iceland (IS)", "Italy (IT)", "Liechtenstein (LI)", "Lithuania (LT)", "Luxembourg (LU)", "Latvia (LV)", "Monaco (MC)", "Moldova (MD)", "Montenegro (ME)", "North Macedonia (MK)", "Malta (MT)", "Netherlands (NL)", "Norway (NO)", "Poland (PL)", "Portugal (PT)", "Romania (RO)", "Serbia (RS)", "Sweden (SE)", "Slovenia (SI)", "Slovakia (SK)", "San Marino (SM)", "Ukraine (UA)", "Vatican City (VA)" ] }, "default": [] }, "maxResults": { "title": "Max results", "enum": [ "10", "100", "1000", "all" ], "type": "string", "description": "How many data centers to return.", "default": "1000" } } }, "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 } } } } } } } } } } ```