⚡ 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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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.

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

📋 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

🎬 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.

🚀 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

📊 Data fields

Each record includes: accessCode, accessDaysTime, city, country, dateLastConfirmed, evChargingUnits, evConnectorTypes, evDcFastCount, evLevel1Count, evLevel2Count, evNetwork, evNetworkWeb, evPricing, evWorkplaceCharging, facilityType, fuelTypeCode, geocodeStatus, groupsWithAccessCode, id, intersectionDirections, latitude, longitude, maximumVehicleClass, openDate, ownerTypeCode, relatedStations, scrapedAt, state, stationName, stationPhone, statusCode, streetAddress, updatedAt, zip. All 34 field names come from a real production run, so what you see here is what lands in your dataset.

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

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.