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from $6.15 / 1,000 results

NHTSA VIN Decoder & Vehicle Specs Scraper

Decode any vehicle VIN into full specifications using the official US NHTSA vPIC database. Get make, model, year, trim, body class, engine, cylinders, horsepower, fuel type and plant. Export to JSON, CSV or Excel.

Pricing

from $6.15 / 1,000 results

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Scrapers Lat

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17 hours ago

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NHTSA VIN Decoder & Vehicle Specs Scraper

Decode any vehicle VIN into full specifications using the official US NHTSA vPIC database, with up to 70 populated fields per vehicle including ADAS safety equipment, plus every open safety recall campaign tied to that vehicle

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Up to 70 fields
per VIN

Open recalls
per vehicle

United States
vPIC database

JSON / CSV / Excel
output formats

Who is it for

Use case	Who benefits
Enrich vehicle listings with full specs from the VIN alone	Used-car marketplaces and dealers
Validate VINs and standardize vehicle data in bulk	Insurance and lending platforms
Build a clean vehicle specification dataset for analytics	Automotive data and research teams
Auto-fill make, model, year and engine in intake forms	Repair shops and inspection apps
Verify fleet vehicle details against the official catalog	Fleet and logistics operators
Flag vehicles under an open safety recall before purchase or resale	Dealers, insurers, and inspection teams

Frequently Asked Questions

What kind of VIN can I decode?
Full 17-character VINs return the most complete specifications. Partial VINs also work if you replace the unknown characters with an asterisk, for example 5UXWX7C5*BA, which is useful when you only have the standardized part of the VIN.

Does it work for older vehicles?
Yes. The vPIC database covers vehicles across many model years, and the model year is derived from the VIN itself. For partial or wildcard VINs where the year cannot be read from the VIN, you can supply a Model Year hint to improve accuracy.

Why do different vehicles return a different set of fields?
The actor only includes fields the database actually has data for on each specific vehicle. A simple sedan and a fully optioned SUV will not carry the same fields, so empty values are dropped instead of filling your output with blank columns.

Can I decode many VINs in one run?
Yes. Paste your full list of VINs, one per line, and the actor decodes each one and returns a single dataset. Use Max Items to cap how many are processed if you only need a sample.

Does it show safety recalls?
Yes. Alongside the full specifications, each decoded vehicle carries a recallCount and a recalls list of every open NHTSA safety recall campaign for that make, model and year, with the affected component, the safety consequence, the free remedy, the official campaign number, and do-not-drive or over-the-air-update flags. This lets you flag a vehicle that needs attention straight from its VIN.

How do I know a VIN decoded correctly?
Every record carries errorCode and errorText. A code of 0 means the VIN decoded clean. Other codes flag issues such as an incomplete VIN or characters the manufacturer did not submit, so you can filter on them.

Example use cases

Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:

BMW X5 VIN Decoder: Decode a BMW X5 VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.
Chevrolet Corvette VIN Decoder: Decode a Chevrolet Corvette VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.
Dodge Ram 1500 VIN Decoder: Decode a Dodge Ram 1500 VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.
Ford F-150 VIN Decoder: Decode a Ford F-150 VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.
Honda Accord VIN Decoder: Decode a Honda Accord VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.
Jeep Wrangler VIN Decoder: Decode a Jeep Wrangler VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.
Nissan Altima VIN Decoder: Decode a Nissan Altima VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.
Tesla Model 3 VIN Decoder: Decode a Tesla Model 3 VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.
Toyota Camry VIN Decoder: Decode a Toyota Camry VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.
Volkswagen Jetta VIN Decoder: Decode a Volkswagen Jetta VIN against the official NHTSA vPIC database for make, model, year, engine, plant and specs.

Export, API and AI agents (x402 + MCP)

Export the scraped data to JSON, CSV or Excel, pull it as a dataset through the Apify API, or wire it into your app with no code. This web scraper and data extractor also works for bulk data extraction and scheduled runs.

For AI agents: this Actor is available on x402, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an MCP tool inside Claude, Cursor and other AI clients out of the box. Learn more about x402 agentic payments on Apify.

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More scrapers at scrapers.lat

This actor is built and maintained by scrapers.lat, where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at scrapers.lat.

This actor is an independent tool and has no affiliation with the National Highway Traffic Safety Administration or the US Department of Transportation. It accesses only the vPIC vehicle product data that NHTSA publishes as a public record. Use this data lawfully and responsibly and respect the NHTSA terms of use.

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