A high-accuracy VIN decoder that transforms raw Vehicle Identification Numbers into complete vehicle specifications. It retrieves make, model, year, engine details, safety features, and more using authoritative automotive data sources. Designed for speed, reliability, and batch VIN processing at scale.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This tool decodes one or multiple VINs and returns full technical and manufacturing data for each vehicle. It helps businesses and analysts validate vehicle identity, inspect specifications, and automate large-scale data workflows.
- Ensures reliable vehicle identity verification across industries
- Provides detailed specifications for compliance, insurance, and resale
- Enables large-scale batch processing with automated validation
- Reduces errors by validating VIN structure and formatting
- Helps uncover manufacturing and safety configuration details
| Feature | Description |
|---|---|
| Batch VIN decoding | Process multiple VINs at once with automated request handling. |
| Manufacturing details | Retrieve plant location, production country, and vehicle type. |
| Engine specifications | Extract displacement, configuration, horsepower, cylinders, and more. |
| Safety feature mapping | Access airbag availability, restraint info, and safety classifications. |
| VIN validation | Automatically checks length, format, and check-digit validity. |
| Rate limiting | Built-in request pacing ensures stable and safe API usage. |
| Clean structured output | Returns fully structured JSON suitable for analytics or storage. |
| Field Name | Field Description |
|---|---|
| vin | The original 17-character Vehicle Identification Number. |
| scrapedAt | Timestamp marking when the decode occurred. |
| Make | Vehicle manufacturer name. |
| Model | Specific model name of the vehicle. |
| Model Year | Year associated with the VIN decoding result. |
| Trim | Trim level or edition information. |
| Vehicle Type | Classification such as passenger car, truck, or SUV. |
| Plant City | Factory location where the vehicle was assembled. |
| Plant Country | Country of manufacture. |
| Engine specs | Displacement, cylinders, horsepower, configuration, and fuel type. |
| Transmission | Transmission style and number of speeds. |
| Safety features | Airbag locations, restraint systems, and safety classifications. |
| Dimensions & configuration | Body class, doors, weight rating, and structural attributes. |
[
{
"vin": "1HGCM82633A123456",
"scrapedAt": "2025-02-05T06:14:41.063Z",
"vehicleInfo": {
"Error Code": "1",
"Error Text": "1 - Check Digit (9th position) does not calculate properly",
"Vehicle Descriptor": "1HGCM826*3A",
"Make": "HONDA",
"Manufacturer Name": "AMERICAN HONDA MOTOR CO., INC.",
"Model": "Accord",
"Model Year": "2003",
"Plant City": "MARYSVILLE",
"Trim": "EX-V6",
"Vehicle Type": "PASSENGER CAR",
"Plant Country": "UNITED STATES (USA)",
"Plant State": "OHIO",
"Body Class": "Coupe",
"Doors": "2",
"Gross Vehicle Weight Rating From": "Class 1C: 4,001 - 5,000 lb",
"Transmission Style": "Automatic",
"Transmission Speeds": "5",
"Engine Number of Cylinders": "6",
"Displacement (L)": "2.998832712",
"Engine Model": "J30A4",
"Fuel Type - Primary": "Gasoline",
"Valve Train Design": "Single Overhead Cam (SOHC)",
"Engine Configuration": "V-Shaped",
"Engine Brake (hp) From": "240",
"Seat Belt Type": "Manual",
"Front Air Bag Locations": "1st Row (Driver and Passenger)"
}
}
]
VIN Decoder 🚗/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── vin_decoder.py
│ │ └── validator.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── vins.sample.txt
│ └── sample_output.json
├── requirements.txt
└── README.md
- Dealerships use it to decode large VIN batches, enabling accurate inventory classification and pricing.
- Insurance providers verify vehicle specifications to ensure policy accuracy and reduce fraud risks.
- Fleet managers process VIN datasets to track vehicle attributes and maintenance needs.
- Parts suppliers match engine and body specifications to ensure compatibility for replacement parts.
- Researchers analyze vehicle configurations and manufacturing trends at scale.
Q: How many VINs can be decoded at once? A: While the system supports large batches, 100 VINs per run is recommended to maintain optimal speed and reliability.
Q: What happens if a VIN is invalid? A: The decoder validates VINs, logs errors, and still returns structured output indicating which VINs failed and why.
Q: Does every VIN return full details? A: Some VINs may return partial results depending on data coverage, but core fields such as make, model, and year are typically available.
Q: Is rate limiting required? A: Yes. Built-in pacing prevents overload and ensures consistent resolutions even with large datasets.
Primary Metric: Processes approximately 40–60 VINs per minute under typical network conditions.
Reliability Metric: Maintains a 99% success rate for properly formatted VINs, with robust fallback logic for incomplete records.
Efficiency Metric: Lightweight processing footprint enables smooth decoding even on modest hardware.
Quality Metric: Delivers highly structured vehicle specifications with over 95% field completeness across commonly registered vehicle types.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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