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I am looking for a freelancer with proven automotive data experience to help build a structured Australian Vehicle Master List for an automotive software MVP. This is not a used car listings project. I need clean vehicle reference data specific to the Australian market, with badge/variant-level detail and reliable sourcing. The first milestone will be a small test dataset of around 50 vehicles delivered in Excel or CSV format. If the quality is good, I would like to expand this into a much larger dataset. **Required fields for each vehicle:** - Make - Model - Badge / variant - Series / generation - Year range - Body type - Engine size - Engine code, if available - Fuel type - Transmission - Drivetrain - Australian market / country - Source or reference used **Important requirements:** 1. The data must be specific to the Australian market and include badge/variant-level detail. 2. The freelancer should have experience with automotive data, vehicle specifications, VIN/vehicle databases, parts catalogues, dealership data, repair estimating, or similar work. 3. I do not have a fixed source for this data. Applicants must explain what sources/references they would use and how they would verify the data. 4. Source transparency is critical because vehicle specification data can involve copyright/licensing issues. I do not want data copied directly from restricted commercial databases or marketplace websites without permission. 5. The dataset should include a mix of current and older/common Australian vehicles, not only brand-new models. 6. If the test dataset is accurate and well-referenced, the project may expand into a much larger dataset covering many more Australian vehicles. **Please include in your proposal:** 1. Your experience with automotive data or vehicle research. 2. Examples of similar vehicle data work you have done, if available. 3. What sources or references you would use. 4. How you would verify the data. 5. How you would avoid copyright or licensing problems. 6. Your price for the first 50-vehicle test dataset. 7. How long it would take. 8. Whether you can deliver in Excel or CSV format. 9. Whether you can expand the dataset later if the first milestone goes well.
Project ID: 40450612
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