# EV Charging Station Scraper (`straightforward_hydra/ev-charging-station-scraper`) Actor EV charging stations for any place or bounding box from OpenStreetMap β€” operator, connectors, power, location. No key. - **URL**: https://apify.com/straightforward\_hydra/ev-charging-station-scraper.md - **Developed by:** [Dev D](https://apify.com/straightforward_hydra) (community) - **Categories:** Automation, Developer tools, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 stations 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## EV Charging Station Scraper πŸ”Œ **Pull EV charging stations for any place or bounding box worldwide β€” from OpenStreetMap. No API key, no proxy.** Give it a place name (or an exact bounding box) and get every EV charging station in the area with the details that matter: **operator/network, connector (socket) types, number of connectors, power, access, fee, and precise location**. Perfect for **EV apps & route planners, charge-point operators, market/coverage analysis, real-estate & fleet planning**, and mapping products. > Uses OpenStreetMap's free **Overpass** + **Nominatim** APIs β€” global coverage, no key, no login. --- ### Features - βœ… **No API key, no proxy** β€” open OpenStreetMap data. - βœ… **Global** β€” any city, region or bounding box on Earth. - βœ… **Connector detail** β€” Type 2, CCS (type2_combo), CHAdeMO, Tesla, etc., with counts. - βœ… **Rich attributes** β€” operator, network, capacity, power, access, fee, opening hours, address. - βœ… **Filters** β€” by operator/network and by connector type. --- ### Input | Field | Description | |---|---| | **Place** | A place name (geocoded to a bounding box), e.g. `Amsterdam`, `Berlin`, `California`. | | **Bounding box** | Or an exact area: minLat / minLon / maxLat / maxLon. | | **Include ways/areas** | Also include stations mapped as areas (not just points). | | **Operator contains** | Filter by operator/network, e.g. `Tesla`, `Ionity`. | | **Socket type** | Only stations with a connector, e.g. `type2`, `type2_combo`, `chademo`. | | **Max results** | Cap on stations. | #### Example β€” all stations in a city ```json { "place": "Amsterdam" } ```` #### Example β€” CCS fast chargers in an area ```json { "place": "Bavaria", "socketType": "type2_combo" } ``` ### Output ```json { "osm_type": "node", "osm_id": 3093658989, "name": "Orkan - Miklabraut", "operator": "Orkan", "network": null, "capacity": 4, "socket_types": ["chademo", "type2_combo"], "sockets": { "chademo": "1", "type2_combo": "1" }, "max_power": "50 kW", "access": "permissive", "fee": "yes", "opening_hours": "24/7", "latitude": 64.132, "longitude": -21.893, "address": "Miklabraut ReykjavΓ­k", "ref": null, "url": "https://www.openstreetmap.org/node/3093658989" } ``` ### Run it on a schedule Re-run for your regions to keep a charging-station database fresh β€” pipe to a map, database or webhook. ### Notes & limitations - Data comes from **OpenStreetMap** (community-mapped) β€” coverage and tag completeness vary by region; some stations lack operator/power tags. - Very large areas can be slow or hit Overpass limits β€” scope with a tighter place/bbox or `maxResults`. - Data source: Β© OpenStreetMap contributors (ODbL). Attribution required when redistributing. *** #### Keywords EV charging, charging stations, electric vehicle, EV chargers, charge points, OpenStreetMap, Overpass, Type 2, CCS, CHAdeMO, Tesla, connectors, charging network, EV infrastructure, e-mobility, charge point operator, EV map, station locator, charging data, sustainability. # Actor input Schema ## `place` (type: `string`): A place name to search, e.g. "Amsterdam", "Berlin", "California". Geocoded to a bounding box automatically. ## `minLat` (type: `number`): Use instead of `place` for an exact area. South edge. ## `minLon` (type: `number`): West edge of the bounding box. ## `maxLat` (type: `number`): North edge of the bounding box. ## `maxLon` (type: `number`): East edge of the bounding box. ## `includeWays` (type: `boolean`): Also include charging stations mapped as ways/areas (not just points). ## `operatorContains` (type: `string`): Filter by operator/network name, e.g. "Tesla", "Ionity", "Shell". ## `socketType` (type: `string`): Only stations with this connector, e.g. "type2", "type2\_combo" (CCS), "chademo", "tesla\_supercharger". ## `maxResults` (type: `integer`): Maximum number of stations to return. ## Actor input object example ```json { "place": "Amsterdam", "includeWays": true, "maxResults": 10000 } ``` # 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 = { "place": "Amsterdam" }; // Run the Actor and wait for it to finish const run = await client.actor("straightforward_hydra/ev-charging-station-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "place": "Amsterdam" } # Run the Actor and wait for it to finish run = client.actor("straightforward_hydra/ev-charging-station-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "place": "Amsterdam" }' | apify call straightforward_hydra/ev-charging-station-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=straightforward_hydra/ev-charging-station-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EV Charging Station Scraper", "description": "EV charging stations for any place or bounding box from OpenStreetMap β€” operator, connectors, power, location. No key.", "version": "0.1", "x-build-id": "cnFfNcyFWkQzv7OvI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/straightforward_hydra~ev-charging-station-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-straightforward_hydra-ev-charging-station-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/straightforward_hydra~ev-charging-station-scraper/runs": { "post": { "operationId": "runs-sync-straightforward_hydra-ev-charging-station-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/straightforward_hydra~ev-charging-station-scraper/run-sync": { "post": { "operationId": "run-sync-straightforward_hydra-ev-charging-station-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "place": { "title": "Place", "type": "string", "description": "A place name to search, e.g. \"Amsterdam\", \"Berlin\", \"California\". Geocoded to a bounding box automatically." }, "minLat": { "title": "Min latitude (bounding box)", "type": "number", "description": "Use instead of `place` for an exact area. South edge." }, "minLon": { "title": "Min longitude", "type": "number", "description": "West edge of the bounding box." }, "maxLat": { "title": "Max latitude", "type": "number", "description": "North edge of the bounding box." }, "maxLon": { "title": "Max longitude", "type": "number", "description": "East edge of the bounding box." }, "includeWays": { "title": "Include ways/areas", "type": "boolean", "description": "Also include charging stations mapped as ways/areas (not just points).", "default": true }, "operatorContains": { "title": "Operator contains", "type": "string", "description": "Filter by operator/network name, e.g. \"Tesla\", \"Ionity\", \"Shell\"." }, "socketType": { "title": "Socket / connector type", "type": "string", "description": "Only stations with this connector, e.g. \"type2\", \"type2_combo\" (CCS), \"chademo\", \"tesla_supercharger\"." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500000, "type": "integer", "description": "Maximum number of stations to return.", "default": 10000 } } }, "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 } } } } } } } } } } ```