⚡ AFDC EV Charging Stations Scraper

Pull structured records from AFDC EV Stations — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

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Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/afdc-ev-stations-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/afdc-ev-stations-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: state (string, default "CA"), maxItems (integer, default 10). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~afdc-ev-stations-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

🚀 Collect data on 60,000+ electric vehicle charging stations across the US. Get station names, addresses, coordinates, connector types, network info, pricing, access hours, and charger counts by level. Filter by state.

🕒 Last updated: 2026-04-23

The EV charging infrastructure is growing rapidly, and businesses need structured data on station locations, connector types, and network operators. Manually browsing the AFDC map pin by pin is impractical for fleet planning, market analysis, or app development.

The AFDC EV Stations Scraper automates this process, pulling structured station data by US state with 30+ fields per record. Whether you are building an EV charging app, analyzing infrastructure coverage, or planning fleet electrification, this tool delivers clean data ready for your workflow.

Target Audience	EV fleet managers, app developers, utility companies, market researchers
Primary Use Cases	Route planning, infrastructure analysis, market research, app development

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📋 What Does It Do

This tool collects EV charging station data from the AFDC database, returning structured records with location and charger details. It delivers:

• 📍 Station locations - names, full addresses, GPS coordinates, and intersection directions
• 🔌 Charger details - Level 1, Level 2, and DC fast charger counts with connector types
• 🌐 Network info - which network operates each station
• 💲 Pricing data - charging costs and pricing details
• 🕐 Access info - hours of operation, access codes, and user groups
• 📊 Station status - open dates, last confirmed dates, and operational status

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🎬 How to Use the AFDC EV Stations Scraper - Full Demo

🚧 Demo video coming soon. Follow the step-by-step instructions below to get started in under 2 minutes.

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⚙️ Input

Configure your search by selecting a US state.

Field	Type	Description
State	Select	US state code (all 50 states plus DC)
Max Items	Integer	Free users: Limited to 10 items. Paid users: up to 1,000,000

Example 1 - California stations:

{
    "state": "CA",
    "maxItems": 100
}

Example 2 - Texas stations:

{
    "state": "TX",
    "maxItems": 500
}

⚠️ Free users are limited to 10 items per run. Sign up for a paid plan to unlock up to 1,000,000 records.

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📊 Output

🧾 Output Schema

Field	Type	Description
id	integer	Station identifier
stationName	string	Name of the charging station
streetAddress	string	Street address
city	string	City
state	string	State code
zip	string	ZIP code
country	string	Country code
latitude	number	GPS latitude
longitude	number	GPS longitude
accessCode	string	Public or private access
accessDaysTime	string	Hours of operation
evLevel1Count	integer	Number of Level 1 chargers
evLevel2Count	integer	Number of Level 2 chargers
evDcFastCount	integer	Number of DC fast chargers
evConnectorTypes	array	Connector types (J1772, CCS, etc.)
evNetwork	string	Charging network name
evPricing	string	Pricing information
facilityType	string	Type of facility
openDate	string	Date the station opened
statusCode	string	Current operational status
scrapedAt	string	Timestamp of data collection

📦 Sample Output

Sample 1 - Public charging station:

{
    "id": 64587,
    "stationName": "ChargePoint Charging Station",
    "streetAddress": "1234 Main Street",
    "city": "Los Angeles",
    "state": "CA",
    "zip": "90001",
    "country": "US",
    "latitude": 33.9425,
    "longitude": -118.2551,
    "accessCode": "public",
    "accessDaysTime": "24 hours daily",
    "evLevel1Count": null,
    "evLevel2Count": 4,
    "evDcFastCount": 2,
    "evConnectorTypes": ["J1772", "CCS"],
    "evNetwork": "ChargePoint Network",
    "evPricing": "Free",
    "facilityType": "PARKING_LOT",
    "openDate": "2022-03-15",
    "statusCode": "E",
    "scrapedAt": "2026-04-09T12:00:00.000Z"
}

Sample 2 - Supercharger station:

{
    "id": 72345,
    "stationName": "Tesla Supercharger - San Diego",
    "streetAddress": "5678 Commerce Blvd",
    "city": "San Diego",
    "state": "CA",
    "zip": "92101",
    "country": "US",
    "latitude": 32.7157,
    "longitude": -117.1611,
    "accessCode": "public",
    "accessDaysTime": "24 hours daily",
    "evLevel1Count": null,
    "evLevel2Count": null,
    "evDcFastCount": 16,
    "evConnectorTypes": ["TESLA"],
    "evNetwork": "Tesla",
    "evPricing": "$0.28/kWh",
    "facilityType": "SHOPPING_MALL",
    "openDate": "2023-06-01",
    "statusCode": "E",
    "scrapedAt": "2026-04-09T12:00:00.000Z"
}

Sample 3 - Workplace charging:

{
    "id": 58901,
    "stationName": "Google Campus Charging",
    "streetAddress": "1600 Amphitheatre Parkway",
    "city": "Mountain View",
    "state": "CA",
    "zip": "94043",
    "country": "US",
    "latitude": 37.4220,
    "longitude": -122.0841,
    "accessCode": "private",
    "accessDaysTime": "Employees only",
    "evLevel1Count": 10,
    "evLevel2Count": 50,
    "evDcFastCount": 4,
    "evConnectorTypes": ["J1772", "CCS", "CHAdeMO"],
    "evNetwork": "ChargePoint Network",
    "evPricing": "Free",
    "facilityType": "OFFICE_BLDG",
    "openDate": "2021-01-15",
    "statusCode": "E",
    "scrapedAt": "2026-04-09T12:00:00.000Z"
}

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✨ Why Choose the AFDC EV Stations Scraper?

Advantage	Details
⚡ 60,000+ stations	The most comprehensive US charging station database
🗺️ All 50 states + DC	Complete geographic coverage
🔌 Charger level breakdown	Level 1, Level 2, and DC fast counts
🌐 Network identification	Know which network operates each station
💲 Pricing data	Charging costs and fee structures
📍 GPS coordinates	Latitude and longitude for mapping
⏰ Weekly monitoring	Track new station openings automatically

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📈 How Does It Compare?

Feature	Our Tool	Manual AFDC Search
Batch collection	Up to 1M stations	One at a time
State-wide data	All stations at once	Paginated results
Structured output	JSON, CSV, Excel	Map-based interface
Automated scheduling	Daily/weekly	Manual visits
GPS coordinates	Included	Click each pin
Charger counts	Level 1, 2, DC fast	Visual icons only

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🚀 How to Use

1. Sign Up - Create a free account w/ $5 credit (takes 2 minutes)
2. Find the Tool - Search for "AFDC EV Stations Scraper" in the Apify Store
3. Set Input - Select your state and set the number of stations to collect
4. Run It - Click "Start" and get structured station data in seconds
5. Download Data - Export results as CSV, Excel, or JSON from the Dataset tab

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💼 Business Use Cases

EV Fleet Managers:

• Map charging infrastructure to plan routes
• Identify coverage gaps for fleet electrification

App Developers:

• Build charging station finders and trip planners
• Integrate up-to-date location data into mobile apps

Utility Companies:

• Assess charging density for grid planning
• Forecast demand based on station growth

Real Estate Developers:

• Evaluate EV charging availability near properties
• Support green building certifications with data

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to this data source so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects the source as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ AFDC EV Charging Stations Scraper (this Actor)	$5 free credit, then pay-per-use	Full source coverage	Live per run	Source-native filters supported	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid managed APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Third-party data dumps	Varies	Subset, often stale	Periodic	None	🕒 Variable

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the AFDC EV Charging Stations Scraper page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Data & Analytics Build trend reports and dashboards from live source data Feed BI tools, warehouses, and ML pipelines with structured records Run periodic snapshots to track changes over time Compare segments, regions, or categories with consistent fields	🏢 Operations & Strategy Monitor competitor moves, pricing, and inventory shifts Build internal directories and lookup tools backed by current data Power workflows that depend on fresh source records Cut manual data-gathering time from hours to minutes
🎯 Marketing & Growth Identify market opportunities and trending topics Research target audiences and customer personas at scale Power lead-generation pipelines with verified records Track sentiment, reviews, or social signals over time	🛠️ Engineering & Product Prototype features that need real-world data without owning a crawler Replace fragile in-house scrapers with a managed Actor Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

🔌 Automating Your EV Station Data Collection

Schedule weekly runs to monitor new station openings and infrastructure changes. Use the Apify scheduler and push results to your mapping tools, databases, or analytics platforms.

🔌 Integrate AFDC EV Stations Scraper with Any App

Connect your station data to thousands of apps using these integrations:

• Make - Automate station monitoring workflows
• Zapier - Get alerts when new stations open
• Slack - Get notified in your channel
• Google Drive - Export to spreadsheets
• Airbyte - Sync to your data warehouse
• Webhooks - Trigger actions when runs complete

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🔌 Integrate with any app

AFDC EV Charging Stations Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

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Pro Tip: 💡 Browse the full ParseForge catalog to find more data tools.

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🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify documentation for platform guides
• Contact us at Tally contact form

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⚠️ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or connected to the Alternative Fuels Data Center (AFDC), the National Renewable Energy Laboratory (NREL), or the U.S. Department of Energy. It accesses only publicly available data.