Collectors · Classifieds & vehicles
Carvana Scraper API in Python
Carvana used-car inventory — year/make/model/trim, price, MSRP, mileage, VIN and stock number. One POST from Python with the input, rows back as JSON with 31 fields, $0.001 per delivered listing. No proxies or parsers to maintain.

First call
Install, call, read the rows.
pip install requestsimport os, requests
r = requests.post(
"https://api.quanticdata.io/v1/scraper/collectors/carvana_cars/run",
headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
json={
"max_results": 24,
},
timeout=120,
)
r.raise_for_status()
run = r.json()["payload"]
print(run["count"], "rows,", run["cost"]["usd"], "USD")
for row in run["results"]:
print(row.get("vehicle_id"), row.get("stock_number"), row.get("vin"), row.get("year"))The key comes from an environment variable, never from the code. The run answers in the same request when it finishes in time; payload.results holds the rows and payload.cost what they cost.
Request parameters
What the collector takes.
| Parameter | Type | Required | Meaning |
|---|---|---|---|
make | string | no | Vehicle make, e.g. "Toyota" or "Mercedes-Benz". Omit to browse all inventory. |
model | string | no | Vehicle model (requires make), e.g. "Camry". |
max_results | integer | no (default 24) | How many listings to deliver at most (1–96). You pay only for delivered listings. |
Response fields
31 fields per listing.
| Field | Type | What it holds |
|---|---|---|
rank | integer | 1-based position. |
vehicle_id | string, nullable | Carvana vehicle id — the key in the listing URL. |
stock_number | string, nullable | Carvana stock number. |
vin | string, nullable | VIN. |
year | integer, nullable | Model year. |
make | string, nullable | Make. |
model | string, nullable | Model, including the variant ("Camry Hybrid"). |
parent_model | string, nullable | Model family ("Camry" for a Camry Hybrid). |
trim | string, nullable | Trim, e.g. "SEL". |
kbb_trim | string, nullable | Kelley Blue Book long trim, e.g. "SEL Sport Utility 4D". |
condition | string, nullable | Offering — Carvana lists used vehicles. |
price | number, nullable | Carvana price in USD. |
msrp | number, nullable | Original MSRP in USD. |
previous_price | number, nullable | Price before the last change; null when never repriced. |
mileage | integer, nullable | Odometer miles. |
body_style | string, nullable | Body style, e.g. "Suv". |
fuel_type | string, nullable | Fuel type, e.g. "Gas". |
exterior_color | string, nullable | Exterior colour. |
interior_color | string, nullable | Interior colour. |
mpg | integer, nullable | Miles per gallon. |
seating_capacity | integer, nullable | Seats. |
image | string, nullable | Primary photo. |
url | string, nullable | Listing URL. |
kbb_value | number, nullable | Kelley Blue Book value Carvana shows for the car. |
market_adjustment | number, nullable | Difference between price and MSRP reference (negative = below). |
shipping_cost | number, nullable | Transport cost included in the offer (0 when free). |
discount_amount | number, nullable | Total discount applied. |
tags | string[] | Listing tags ("Recently Added", "Great Deal"…). |
purchase_pending | boolean | True when another buyer has a purchase in progress. |
purchase_type | string, nullable | Purchase status (Purchasable…). |
image_hero | string, nullable | Standardized hero image URL. |
Add ?format=csv to the runs endpoint to get the same rows as CSV.
Long runs
Run in the background, then poll.
A run that needs more time can go to the background: send "async": true, get 202 with the run id, and poll the runs endpoint until the status is done. Reading a run is free.
import os, time, requests
H = {"Authorization": f"Bearer {os.environ['QD_API_KEY']}"}
r = requests.post("https://api.quanticdata.io/v1/scraper/collectors/carvana_cars/run", headers=H,
json={**{"max_results":24}, "async": True}, timeout=30)
run_id = r.json()["payload"]["run_id"]
while True:
run = requests.get(f"https://api.quanticdata.io/v1/scraper/collectors/runs/{run_id}", headers=H, timeout=30).json()["payload"]
if run["status"] in ("done", "failed"):
break
time.sleep(5)
print(run["status"], run["count"])Errors
What can come back, and what is billed.
| Status | Meaning | Billed |
|---|---|---|
400 | The input does not match the collector (payload.errors) | No |
401 | Missing or wrong API key | No |
402 | Balance and free credit do not cover the run: top up | No |
422 | The input can never resolve; retrying the same input cannot help | No |
424 | The run failed at the source (blocked, timed out, layout changed); safe to retry | No |
429 | Rate limit or a per-account brake; wait for Retry-After | No |
Only delivered rows are billed: a run that delivers nothing costs nothing.
Price
$0.001 per delivered listing.
| Rows | Cost |
|---|---|
| 1 | $0.001 |
| 1,000 | $1.00 |
| 10,000 | $10.00 |
Up to 96 listings per run; split larger jobs into several runs. The $2 free credit every month covers about 2,000 listings. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.
Before you run it
Questions developers ask
Is there a free Carvana used cars API?
Every account gets $2 of free usage each month, about 2,000 listings of this collector at $0.001 each, with no card.
Do I have to handle proxies, retries or blocks?
No. The collector runs on our network and handles them; a run blocked at the source returns 424 and is not billed.
How many rows can one run return?
Up to 96 listings per run (the max_results input, where the collector has one).
Can an AI agent run it?
Yes: the MCP server exposes it as the run_collector tool, with the same input and price. See the MCP server.
Run it on the free credit.
Create an API key, export it as QD_API_KEY and run the example. $0.001 per delivered listing, no subscription.