Used Car Listings Scraper — US Cars For Sale

Scrape US used-car listings — cars for sale by make, model, year, price, mileage, and state — with a VIN on every row. Powered by the official vehicles.dev API, so there's no scraping, no proxies, no CAPTCHAs, and nothing that breaks when a car marketplace changes its site.

What does Used Car Listings Scraper do?

Used Car Listings Scraper searches normalized used-car inventory across sources like Autolist, TrueCar, and iSeeCars through the vehicles.dev listings API and returns one clean row per vehicle. Each listing includes the VIN, year, make, model, trim, price, mileage, condition, dealer name, city/state, coordinates, days on market, and a link to the original listing page.

Filter by make, model, year range, price range, max mileage, state, condition (used / new / CPO), seller type, and data quality — then set how many results you want. Run one search or batch many in a single run. Results download as JSON, CSV, Excel, or HTML, or stream live via the Apify API. Run it on demand or schedule it to track the used-car market over time — with API access, scheduling, and monitoring included on the Apify platform.

Why use Used Car Listings Scraper?

• Official API, not a fragile scraper — vehicles.dev is a licensed data source, so results are clean JSON that don't break when a marketplace redesigns. No proxies or CAPTCHAs to manage.
• VIN on every row — decode, match, and dedupe downstream with a real VIN, not a guessed one.
• Server-side filters — make, model, year, price, mileage, state, condition, seller type, source, and data quality are all applied at the API, so you only pay for the rows you want.
• Pages past any single-response cap — automatically iterates limit/offset up to your maxItems.
• Run-level VIN dedup — overlapping searches never emit (or bill) the same car twice.
• Batch searches — price whole model lists (e.g. Camry + Civic + Accord) in one run.

Common use cases: used-car pricing & inventory tools, dealer competitive analysis, market and demand research, lead generation, arbitrage sourcing, auto lenders / insurers, and data science on the US car market.

How to use Used Car Listings Scraper

1. Click Try for free (or open the actor in your Apify Console).
2. Enter a Make and Model (e.g. Toyota / Camry) and any filters you want — year range, price range, max mileage, State.
3. Set Max results to how many listings to collect.
4. Click Start. Listings stream into the dataset as pages are fetched.
5. Download as JSON / CSV / Excel, or pull the dataset from the Apify API.

To run several searches at once, use the Batch searches field with a JSON array like [{ "make": "Toyota", "model": "Camry" }, { "make": "Honda", "model": "Civic" }] — each entry inherits your top-level filters.

Input

Field	Type	Description
make, model	string	Vehicle make/model (case-sensitive).
yearMin, yearMax	int	Model-year range.
priceMin, priceMax	int	Price range (USD).
mileageMax	int	Maximum odometer reading.
state	string	2-letter US state code.
condition	select	used, new, cpo, or any.
sellerType	select	dealer, auction, or any.
source	select	Restrict to one upstream source.
sort / order	select	Sort by price / miles / year / days on market, asc or desc.
maxItems	int	Max listings to save (0 = unlimited).
searches	array	Batch: multiple filter objects in one run.
apiKey	string (secret)	Optional. Bring your own vehicles.dev key.

Output

Each dataset row is one listing:

{
  "vin": "4T1BE32KX4U369954",
  "year": 2004,
  "make": "Toyota",
  "model": "Camry",
  "trim": "Standard",
  "body_style": "Sedan",
  "fuel": "Gasoline",
  "drivetrain": "FWD",
  "transmission": "Manual",
  "color": null,
  "price": 5794,
  "miles": 96287,
  "condition": "used",
  "seller_type": "dealer",
  "dealer_name": "University Kia",
  "city": "Waco",
  "state": "TX",
  "lat": 31.465128,
  "lng": -97.09254,
  "days_on_market": 0,
  "data_quality": 0.923,
  "vdp_url": "https://www.autolist.com/toyota-camry#vin=4T1BE32KX4U369954",
  "source": "autolist",
  "vin_valid": 1,
  "scrapedAt": "2026-08-15T10:49:38.000Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Meaning
vin / vin_valid	Vehicle VIN and whether it validated.
price / miles	Asking price (USD) and odometer.
condition / title_status	Listing condition and title status.
seller_type / dealer_name	Dealer vs auction, and the seller.
city / state / lat / lng	Listing location.
days_on_market	Days the listing has been live.
data_quality	Source confidence score (0–1).
vdp_url	Link to the original listing.
source	Upstream source (autolist, truecar, …).

How much does it cost?

Billing is pay-per-result: a small per-run start fee plus a charge for each listing written to the dataset ($0.50 per 1,000 listings). VIN deduplication means overlapping searches never double-bill, and failed pages cost nothing. Set maxItems to cap spend precisely.

Tips & advanced options

• Cap cost with maxItems — the actor stops the moment your budget is hit, mid-page.
• Narrow with filters — a tight make/model/state/price query is cheaper and faster than a broad one.
• Batch model lists — use searches to sweep several models in one run; VINs are deduped across them.
• Concurrency — vehicles.dev rate-limits per account, so the default maxConcurrency of 5 suits the free tier; raise it with a higher-tier key.

FAQ, disclaimers & support

Is there a VIN on every listing? Yes — and vin_valid tells you whether it passed validation. Set validVin to require only validated VINs.

How fresh is the data? Listings reflect vehicles.dev's crawl cadence; days_on_market and scrapedAt help you judge recency.

Do I need a vehicles.dev account? No — the actor is preconfigured. Advanced users can supply their own apiKey to run on their own quota.

Something look off? Use the Issues tab to report it. Custom fields or a tailored vehicle-data feed can be built on request.

Data is provided by the official vehicles.dev API.