Sold by: ALT/FNDATA - Alternative Asset Data
Deployed on AWS
Global sales records for Alfa Romeo cars across auctions, private and online sales: over 3,200 lots from 30+ channels, 2004 to present, with 2,400+ realised prices, VIN and lot metadata. Daily updates for valuation, comps and market tracking.
Overview
Alfa Romeo Car Sales: global market data
This feed delivers global sales records for Alfa Romeo cars, combining auction, private and online sales in one daily-updated dataset for valuation and market tracking.
Built on ALT/FNDATA's collector-car sales data from auction houses, private sales and online channels worldwide, with VIN and lot-level metadata. Records come in JSON, CSV and SQL formats and update daily.
What you can do with this data
- Valuation and comps: realised prices with VIN, model, year and condition.
- Market tracking: monitor values across auctions, private and online channels.
- Index construction: build brand and segment performance indices.
- Insurance and finance: replacement values and collateral assessment.
Dataset facts
- Data formats: JSON, CSV, SQL tables
- Geographic coverage: Global (North America, Europe, Asia)
- History: 2004 to present
- Update frequency: Daily
- Update type: Incremental
- Sources: Auction houses, online marketplaces, dealer listings, catalogues
- Provider: ALT/FNDATA (Oarbt Inc.)
More ALT/FNDATA data on AWS Data Exchange
ALT/FNDATA publishes single-brand car sales feeds, collector-car indices, and a global all-brands classic car dataset on AWS Data Exchange. Search "ALT/FNDATA" to see the full catalogue.
Getting started
For help evaluating this dataset for your use case, or to discuss coverage and integration, contact the ALT/FNDATA data team at info@altfndata.com .
Highlights
- Over 3,200 Alfa Romeo lots from 30+ auction, private and online channels.
- 2004 to present with 2,400+ realised prices, VIN and condition metadata. Daily updates.
- Part of ALT/FNDATA's single-brand car feeds and collector-car indices on AWS Data Exchange.
Details
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Delivery method
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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Dimensions summary
This listing offers one pricing dimension: Product Access (Units), billed at no cost under a free model. You subscribe once to gain access to the product, with no tiered levels or usage-based charges to compare. The single unit grants you entry to the Alfa Romeo car sales data, covering auction, private, and other sale transactions. Because there is only one dimension, pricing does not scale by volume, seats, or usage. You simply activate access and begin using the dataset.
Top-of-mind questions for buyers
One unit gives you access to the Alfa Romeo car sales dataset. This covers auction, private, and other sale transactions. Records are cleared prices — what cars actually sold for — with each figure a real transaction rather than an estimate. Access activates once you subscribe.
The dataset updates daily as new results come in from auction houses worldwide. It draws on records dating back years, refreshed continuously as sales close. Your single access unit covers this ongoing data flow at no cost, without extra charges as new records are added.
No. This listing uses one free dimension with no usage-based charges. Your cost does not scale by the number of records you view, the queries you run, or how often you access it. You activate access once and use the Alfa Romeo sales data without volume-based fees.
www.altfndata.com
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Daily Feed | Alfa Romeo Classic Cars | Recent & Upcoming Sales | Last 1 revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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