EV Database Scraper

EV Database Scraper

Scrape electric vehicle specs, range, battery data, and pricing from EV Database, up to a million vehicles per run. Every vehicle comes with its real-world range, charging speed, acceleration, and price. No login or API key. Export to CSV, JSON, Excel, or XML.

EV Database is the most detailed public source for electric vehicle specifications, but browsing it manually or comparing models one by one is slow. This Actor reads the complete vehicle catalog directly, filtered by region for local pricing and availability, and returns every data point in a consistent flat schema ready for analysis.

Who uses it	What they scrape EV Database for
Automotive market analysts	Track how EV range and pricing evolve across manufacturers and regions over time.
EV charging infrastructure planners	Map real-world range and charging speeds to plan station placement and grid demand.
Fleet electrification managers	Compare total cost of ownership and real-world range across eligible EV models.
EV review sites and journalists	Pull the latest specs for every new model to populate comparison tables automatically.

What it does

This Actor collects electric vehicle specifications from EV Database by region and returns each vehicle as a flat row with its specs, range, battery, charging, and pricing data.

• 🌍 Region selector: Choose Global (EUR), UK (GBP), Netherlands (EUR), Germany (EUR), or Norway (NOK) to get local pricing and availability.
• ⚡ Full spec extraction: Real-world range, battery capacity, acceleration, top speed, and charging power for every vehicle.
• 📊 Structured output: Every vehicle lands as one flat row with a fixed schema, ready for spreadsheets or databases.
• 🔄 Bulk collection: Set a maximum from one vehicle up to a million per run, no pagination to manage.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with EV Database data

📈 Monitor the EV market.

An automotive analyst scrapes the full catalog weekly to track how average range, price per kWh, and charging speeds trend across all manufacturers.

🔌 Plan charging infrastructure.

A grid planner pulls real-world range and peak charging power for every model sold in Norway to model station demand along major highway corridors.

🚛 Build a fleet electrification shortlist.

A logistics company scrapes all available vans and trucks, filters by payload and real-world range, and exports a shortlist for procurement.

📝 Power an EV comparison site.

A publisher runs the Actor daily to keep their comparison tables current with the latest specs, prices, and efficiency ratings for every new model.

Why choose this scraper

	What you get
Real-world range	WLTP and real-world range estimates, not manufacturer claims
Charging speed	Max DC fast-charge power and 10-80% time for every vehicle
Regional pricing	Prices in local currency with region-specific incentives where available
Battery data	Usable and total battery capacity, cell chemistry, and thermal management

How it compares

No other Store actor targets EV Database the same way, so the honest comparison is with the alternatives teams actually weigh.

	EV Database Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When EV Database changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor by setting a region for local pricing and a maximum number of vehicles to collect, and only matching vehicles reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "maxItems": 10
}

A larger pull:

{
 "maxItems": 200
}

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the EV Database Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to EV Database through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/ev-database-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting fewer vehicles than my maxItems setting?

The Actor stops when it has scraped all available vehicles matching your region filter. If EV Database lists fewer vehicles than your maxItems value, you will get all of them and the run will finish normally.

The prices look wrong for my region.

Check that you set the correct region in the input. Global (EUR) shows base European prices, while UK, Netherlands, Germany, and Norway show local pricing with country-specific taxes and incentives.

Some vehicles are missing range or charging data.

EV Database does not have complete data for every vehicle. If a manufacturer has not published a spec, the field will be empty in your output. This is expected and not a scraping error.

The run timed out before reaching my maxItems.

Increase the Actor's timeout in the run settings. Scraping many vehicles takes time, and the default timeout may be too short for large maxItems values.

I changed the region but the output looks the same.

Make sure you saved the input change before starting the run. The region selector defaults to Global (EUR) if left empty, so an unset region will always return the same data.

FAQ

Question	Answer
What data does the EV Database Scraper return?	It returns real-world range, battery capacity, charging speed, acceleration, top speed, price, efficiency, and vehicle dimensions. The exact fields depend on what EV Database publishes for each model.
Can I filter by vehicle brand or body type?	The current input schema supports filtering by region only. You can filter the output dataset after the run by any field, including brand, body type, or price range.
How do I get prices in British pounds?	Set the region input to 'United Kingdom (GBP)' and the Actor will scrape the UK version of EV Database with prices in pounds sterling.
Does this Actor require an API key or login?	No. The Actor reads the public EV Database website directly. You do not need to register, get an API key, or handle authentication.
How many vehicles can I scrape in one run?	You set the maximum with the 'Maximum vehicles' input, from 1 up to 1,000,000. The Actor stops when it hits your limit or runs out of vehicles.
What regions are supported?	Global (EUR), United Kingdom (GBP), Netherlands (EUR), Germany (EUR), and Norway (NOK). Each region returns local pricing and availability.
How often is the EV Database data updated?	EV Database updates its listings continuously as new models launch and specs change. Run the Actor on a schedule to keep your dataset in sync.
Can I export the data to Google Sheets?	Yes. Export your dataset as CSV from Apify and import it directly into Google Sheets, Excel, or any spreadsheet tool.
Does it scrape used or older EV models?	The Actor scrapes whatever vehicles EV Database currently lists. This typically includes new and recent models, but not discontinued vehicles that have been removed.
What is the difference between WLTP range and real-world range?	WLTP range is the official lab-tested figure. Real-world range is EV Database's estimate based on actual driving conditions, and the Actor returns both where available.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by EV Database. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.