Build comparable vehicle groups
Select make, model, year, body type and other supported specifications. Keep variant and mileage definitions explicit so unlike vehicles are not treated as direct comparables.
Used Car Listings Dataset
Define a used-car listing dataset with asking prices, vehicle specifications, seller types and dated observations for your chosen market.
Markets on requestAvailability on inquiry13 proposed fields
Coverage, pricing and delivery confirmed individually. Requests open your email app.Work with traceable vehicle listing observations
Scope a vehicle advertisement dataset for inventory research, comparable asking prices or market monitoring. A useful record distinguishes the vehicle from the advertisement and preserves the original mileage unit, currency and seller type. The amount displayed in an advertisement is an asking price rather than a verified transaction price. Source availability, vehicle identifiers and repeat-observation coverage must be agreed for the chosen country and marketplace.
Research dealer inventory
Organize publicly advertised stock by seller and location. Deduplicate repeated advertisements for the same vehicle when a reliable identifier or supporting evidence is available.
Study advertised price changes
Request dated observations for an agreed set of listings. Removed advertisements need an unknown or delisted status unless the source explicitly confirms a completed sale.
Define vehicle identity and price context
Specify which makes, models, age ranges and seller types should be included. VIN or another public vehicle identifier can help deduplication when the source provides it; missing identifiers should stay missing. Record mileage units, currency and whether displayed prices exclude particular charges. Different trims, condition statements and financing-only offers should not be silently grouped into one comparable-price series.
Review source access and observation limits
A market-wide inventory requires a suitable source and agreed coverage, not just a list of example advertisements. This specification does not represent an existing automotive inventory feed. Explain whether the project needs a one-time snapshot, repeat observations or a historical archive. Pricing estimates, verified sale amounts, ownership information and inferred sale dates are outside a standard public-listing observation unless separately supported.
Define your structure
Data fields to discuss
Use this field guide to plan your request. Coverage and completeness will be confirmed individually. The CSV template contains column headers for planning.
| Field | Column name | Description |
|---|---|---|
| Listing ID | listing_id | Advertisement identifier returned by the source. |
| Public vehicle ID | vehicle_id | Public VIN or other source identifier when available. |
| Make | make | Manufacturer stated in the advertisement. |
| Model | model | Published model and variant information. |
| Model year | model_year | Source-stated vehicle year with its original meaning. |
| Mileage | mileage | Published distance value without changing units implicitly. |
| Mileage unit | mileage_unit | Miles or kilometers as indicated by the source. |
| Asking price | asking_price | Advertised amount; not a verified completed-sale price. |
| Currency | currency | Currency associated with the advertised offer. |
| Seller type | seller_type | Dealer, private seller or another explicit source classification. |
| Listing location | location | Published seller or vehicle location, subject to source precision. |
| Listing URL | listing_url | Public advertisement page. |
| Observed at | observed_at | Date and time the listing details were observed. |
From requirements to a clear scope
Share your requirements
Send your target sources, locations, essential fields, dates and expected volume. Mention the Used Car Listings Dataset so the team has context.
Confirm the details
Discuss availability, source coverage, sample requirements, pricing and delivery timing before deciding.
Agree on the output
Confirm the final fields, file format and delivery method for the agreed dataset.
Frequently asked questions
Is this a ready-made download?
This page defines a dataset specification. Contact Extracto to confirm source coverage, available records, price and delivery timing for your requirements. A displayed sample is a saved example with its own location and collection date.
Do asking prices show what buyers actually paid?
No. Advertised prices describe the offer displayed by the source. Completed-sale prices require a source that explicitly provides transaction evidence and would need their own coverage agreement.
Does a removed listing mean the car sold?
A listing can disappear because it expired, was withdrawn, moved or sold. Record the observed removal state separately and only label a completed sale when a suitable source confirms it.
Is a vehicle scraper already included?
A dedicated used-car collection source and workflow need to be confirmed for this specification. Share target marketplaces and fields so feasibility can be reviewed before any dataset volume or delivery is agreed.
Keep exploring
View category →Related datasets
Ecommerce
Product Price History Dataset
Markets on requestSpecify product price history by seller, market and observation interval. Define identifiers, currencies, availability and the dates your analysis needs.
Product IDVariant IDProduct titleBrand+9 fields
Confirm availabilityView dataset →
Business
New Business Leads Dataset
United StatesPlan a newly opened business list with explicit opening or registration evidence. Define dates, categories, locations and public business contact requirements.
Business nameQualifying eventEvent dateEvent evidence+9 fields
Confirm availabilityView dataset →
Procurement
Government Tenders Dataset
Jurisdictions on requestDefine a public procurement dataset by country, buyer, sector and deadline. Scope notices, amendments and award records with traceable official sources.
Notice IDNotice typeNotice titleContracting authority+10 fields
Confirm availabilityView dataset →
Your market. Your requirements.
Discuss your dataset requirements
Have a narrower location, a specific field list or a target volume in mind? Send your requirements to the Extracto team.