EV Charging Stations Scraper - Connectors, Power & Operators Worldwide

Scrape EV charging stations anywhere in the world - names, operators, addresses, GPS coordinates, connector types, maximum charging power in kW, AC/DC current, access rules and payment requirements - and export them as JSON, CSV, Excel or XML.

No API key. No login. No proxy. Give it a coordinate pair and a radius (or just a country code) and it returns clean, structured charging-station records.

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Why use this actor

Charging-infrastructure data is normally locked behind paid APIs with per-request quotas and restrictive licences. This actor pulls from a fully open, keyless dataset so you can build EV apps, plan routes, research charging deserts or scout new charge-point sites without signing up for anything.

• Zero configuration - works on the first run with the default input
• Worldwide coverage - any coordinates on Earth, or a whole country by ISO code
• Connector-level detail - Type 2, CCS, CHAdeMO, Tesla, Schuko, GB/T and more
• Real power values - max kW per station, derived from socket outputs or voltage/amperage
• AC vs DC classification - instantly filter fast chargers from slow AC posts
• Permissive output schema - never fails a run because a field is missing

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Data source

This actor uses the OpenStreetMap Overpass API (amenity=charging_station), which is public, keyless and community-maintained.

A note on Open Charge Map. Open Charge Map's /v3/poi endpoint was evaluated as the primary source, but it now rejects anonymous requests with 403 - You must specify an API key using the key query parameter or x-api-key header. Because this actor is designed to run with zero setup and no credentials, OpenStreetMap Overpass was chosen instead. Every item carries a source field ("overpass") so downstream pipelines always know where the record came from.

The actor rotates over several public Overpass mirrors, so a single overloaded instance does not fail your run.

Licence: OpenStreetMap data is available under the Open Database License (ODbL). If you publish or redistribute this data, credit "© OpenStreetMap contributors".

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Use cases

Use case	How this actor helps
EV charging apps & maps	Seed or refresh your station database with coordinates, connectors and power ratings
Route planning	Find every charger along a corridor by running several radius searches and filtering on max_power_kw
Charging infrastructure research	Measure charger density, AC/DC split and operator market share per city or country
Site selection	Spot underserved areas before deciding where to install new charge points
Fleet & logistics planning	Check whether depots and delivery routes have adequate charging nearby
Competitive intelligence	Track which operators (Ionity, Tesla, EnBW, Shell Recharge...) dominate which regions

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Input

Field	Type	Default	Description
mode	select	stations	What to scrape. stations returns one item per charging station.
latitude	string	"52.52"	Latitude of the search centre in decimal degrees (-90 to 90).
longitude	string	"13.405"	Longitude of the search centre in decimal degrees (-180 to 180).
radiusKm	integer	25	Search radius in kilometres (1-100).
countryCode	string	""	Optional ISO-3166-1 alpha-2 code (DE, NL, FR, US...). When set, the whole country is scanned and lat/lon/radius are ignored.
maxItems	integer	200	Maximum number of stations to return (1-2000).

Example - chargers around Berlin

{
  "mode": "stations",
  "latitude": "52.52",
  "longitude": "13.405",
  "radiusKm": 25,
  "maxItems": 200
}

Example - chargers across the Netherlands

{
  "mode": "stations",
  "countryCode": "NL",
  "maxItems": 2000
}

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Output

One dataset item per charging station. All fields are nullable - OpenStreetMap coverage varies by region, so treat a missing value as unknown, never as zero.

{
  "station_id": "node/429740871",
  "name": "Innogy",
  "operator": "E.ON",
  "address": "Hardenbergstraße 12",
  "town": "Berlin",
  "state": null,
  "postcode": "10623",
  "country": "DE",
  "latitude": 52.5236617,
  "longitude": 13.3808678,
  "connection_count": 2,
  "connection_types": ["Type 2 (Mennekes)"],
  "max_power_kw": 22.2,
  "current_types": ["AC"],
  "total_points": 2,
  "is_operational": true,
  "usage_type": "Public (pay to use)",
  "pay_at_location": true,
  "membership_required": false,
  "phone": null,
  "access_comments": "Opening hours: 24/7 | Covered: no | Level: 0",
  "last_verified": "2025-04-11T00:00:00+00:00",
  "date_created": null,
  "source": "overpass",
  "scraped_at": "2026-07-28T14:02:11+00:00"
}

Field reference

Field	Meaning
station_id	Stable OpenStreetMap identifier, e.g. node/429740871
name	Station title (falls back to brand, operator or reference number)
operator	Charging network operator (falls back to brand / network / owner)
address, town, state, postcode, country	Postal address components
latitude, longitude	WGS-84 coordinates (centroid for mapped areas)
connection_count	Total number of individual connectors
connection_types	Readable connector list: Type 2 (Mennekes), CCS Combo 2, CHAdeMO, ...
max_power_kw	Highest advertised charging power in kW
current_types	["AC"], ["DC"] or both
total_points	Vehicles that can charge simultaneously
is_operational	false when tagged broken, disused or under construction
usage_type	Public / private classification plus free vs. pay to use
pay_at_location	Whether on-site payment (card, app, coins) is accepted
membership_required	Whether an RFID / membership card is needed
phone	Support phone number
access_comments	Free-text notes, opening hours, level, covered (max 1000 chars)
last_verified	Last survey / check date, ISO-8601
date_created	Commissioning date, ISO-8601
source	Always "overpass" - the live data source used
scraped_at	Run timestamp, ISO-8601

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Pricing

Roughly $1 per 1,000 charging stations, plus the usual Apify platform usage. A default Berlin run (200 stations) costs a few cents and finishes in well under a minute.

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Tips

• Nothing found? Increase radiusKm, move the coordinates closer to a city, or double-check the countryCode.
• Only fast chargers? Export to CSV and filter on max_power_kw >= 50 or current_types containing DC.
• Country runs are heavier. Large countries take longer because the whole boundary is scanned; keep maxItems sensible.
• Coverage varies. Western Europe is extremely well mapped; some regions have coordinates but few connector details.

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Related actors

• OSM Local Business Scraper - any business category from OpenStreetMap
• CityBikes Scraper - bike-sharing networks and live station availability
• Geocoding Scraper - turn addresses into coordinates and back
• Energy Charts Scraper - electricity generation, prices and grid data

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Legal

This actor reads publicly available OpenStreetMap data through the public Overpass API. No personal data is collected. Redistribution of the output is subject to the ODbL - attribute "© OpenStreetMap contributors".