⚡ PlugShare EV Charging Station Scraper

🕒 Last updated: 2026-05-05

Whether you're building an EV trip planner, analyzing charging infrastructure, or tracking network coverage, this tool makes it easy to collect structured EV charging station data from PlugShare, the world's largest EV charging network directory.

The PlugShare Scraper collects EV charging station data including names, addresses, connector types, networks, power levels, availability, reviews, and pricing. Search by keyword, location coordinates, or connector type.

✨ What Does It Do

• ⚡ Station data - collect names, addresses, networks, and connector types for thousands of charging stations
• 📍 Location data - get precise GPS coordinates, addresses, and geographic coverage
• 🔌 Connector details - CCS1, CCS2, CHAdeMO, J1772, Tesla, NACS, and Type 2 connector info
• ⚡ Power levels - extract kilowatt ratings to identify fast chargers (50kW+)
• ⭐ Reviews and ratings - get user scores, reviews, and photo counts
• 🏪 Amenities - nearby dining, shopping, restrooms, WiFi, and more

🔧 Input

• Search Query - search by station name, network, or location (e.g., 'Tesla Supercharger', 'ChargePoint San Francisco')
• Max Items - how many stations to collect (free users get 10 items, paid users up to 1,000,000)
• Latitude/Longitude - search by geographic coordinates when no search query is provided
• Radius - search radius in kilometers from center point (default 50km)
• Connector Type - filter by CCS1, CCS2, CHAdeMO, J1772, Tesla, Type 2, or NACS
• Fast Chargers Only - only return DC fast charging stations (50kW+)
• Include Full Details - fetch reviews, photos, hours, and pricing for each station

{
    "searchQuery": "Tesla Supercharger",
    "maxItems": 50,
    "connectorType": "CCS1",
    "fastChargersOnly": true,
    "includeDetails": true
}

📊 Output

Each charging station record includes up to 25+ data fields. Download as JSON, CSV, or Excel.

Field	Description
url	PlugShare station page URL
name	Station name
address	Full street address
network	Charging network (Tesla, ChargePoint, EVgo, etc.)
connectorTypes	Available connector types
stationCount	Number of charging stations
availableStations	Currently available stations
kilowatts	Maximum power output in kW
isFastCharger	Whether station has DC fast charging
score	User rating score
latitude/longitude	GPS coordinates
costDescription	Pricing information
amenities	Nearby amenities

{
    "url": "https://www.plugshare.com/location/545097",
    "name": "Safeway",
    "address": "735 7th Ave, San Francisco, CA 94118, USA",
    "id": 545097,
    "network": "EVgo",
    "connectorTypes": ["CCS1", "CHAdeMO"],
    "stationCount": 4,
    "availableStations": 3,
    "kilowatts": 350,
    "isFastCharger": true,
    "score": 3,
    "latitude": 37.775,
    "longitude": -122.465,
    "costDescription": "For best pricing, register with EVgo",
    "open247": false,
    "parkingType": "Free",
    "totalReviews": 50,
    "scrapedAt": "2026-04-07T12:00:00.000Z"
}

💎 Why Choose the PlugShare Scraper?

Feature	Our Tool	Manual PlugShare
Batch collection	Up to 1M stations	Browse one at a time
Multiple filters	Connector, speed, location	Limited map view
Full details	Reviews, photos, pricing	Click each station
Structured output	JSON, CSV, Excel	Map pins only
Automated scheduling	Daily/weekly monitoring	Manual visits
GPS coordinates	Precise lat/lng	Visual map only

📋 How to Use

1. Sign Up - Create a free account w/ $5 credit
2. Configure - set your search query, location, connector type, and how many stations you want
3. Run It - click "Start" and get structured EV charging data in seconds

No coding, no setup, no manual browsing required.

🎯 Business Use Cases

• 🚗 EV trip planners - build route planning tools with real-time charging station data and availability
• 📊 Infrastructure analysts - map EV charging coverage gaps and track network expansion
• 🏢 Fleet operators - identify optimal charging locations for commercial EV fleets
• 🔋 Charging networks - monitor competitor station deployments and coverage areas
• 🏗️ Real estate developers - assess EV charging availability near properties and developments
• 📈 Market researchers - analyze EV charging trends, pricing, and network growth

🔌 Integrate with any app

PlugShare EV Charging Station 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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🤖 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

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❓ Frequently Asked Questions

⚡ What is PlugShare? PlugShare is the world's largest EV charging station directory with over 1 million stations across 65+ countries. It includes data from all major charging networks including Tesla, ChargePoint, EVgo, Electrify America, and more.

🔌 What connector types are supported? You can filter by CCS1 (DC Fast), CCS2 (DC Fast EU), CHAdeMO, J1772 (Level 2), Tesla Supercharger, Type 2 (EU), and NACS (North American Charging Standard).

📍 How does location search work? You can search by keyword (station name, network, city) or by geographic coordinates with a configurable radius. The scraper automatically covers the search area.

⏱️ How long does a run take? Basic mode: 100 stations in about 2 seconds. With details enabled, each station takes an additional 0.2-0.5 seconds for reviews, photos, and pricing.

🔗 Integrate PlugShare Scraper with any app

• Make - Automate EV charging data workflows
• Zapier - Get alerts for new stations in your area
• Slack - Get notified when new chargers are deployed
• Google Drive - Export station data to spreadsheets
• Webhooks - Trigger actions when runs complete

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Pro Tip: Browse our complete collection of data collection actors to find the perfect tool for your needs.

🆘 Need Help?

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

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or connected to PlugShare, Recargo Inc., or any EV charging network. It accesses only publicly available data through PlugShare's public API.

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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
⭐ PlugShare EV Charging Station 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 PlugShare EV Charging Station 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