README.md

metadata

language:
  - en
license: cc-by-nc-4.0
pretty_name: CarGurus.com US Vehicle Listings Dataset
tags:
  - open-data
  - data-science
  - web-scraping
  - scraper
  - crawler
  - data-collection
  - used-cars
  - automotive
  - car-listings
  - vehicle-data
  - car-prices
  - cargurus
  - cargurus-com
size_categories:
  - 1M<n<10M
task_categories:
  - other
configs:
  - config_name: car-listings
    data_files:
      - path: car-listings/data/*.parquet
        split: train

CarGurus.com US Vehicle Listings Dataset

Daily sample of U.S. used car listings from CarGurus.com with deal ratings, vehicle specs, mileage, dealer info, and market positioning data.

This dataset is a preview sample of the CarGurus.com (US) dataset published by Rebrowser. If you're doing academic research, you may be eligible for free access to a much larger slice — see Free Datasets for Research.

This dataset contains 1 entity, each in its own folder: Car Listings (car-listings). See below for a full field breakdown, sample counts, and data distributions for each.

Found this useful? ❤️ Like this dataset on HuggingFace to help us keep publishing fresh data. Found an error? Let us know.

---

Car Listings

Sample of U.S. CarGurus.com vehicle listings with deal ratings, specs, mileage, dealer ratings, and seller locations.

4,720,402 total records from 2025-12-07 to 2026-02-22, up to 30,000 rows in this sample (0.64% of full dataset). Exported as one file per day, up to 1,000 rows each, last undefined days retained.

Field	Type	Fill Rate	Description
_primaryKey	string	100%	Unique identifier for this record
_firstSeenAt	datetime	100%	First time this record was seen
_lastSeenAt	datetime	100%	Last time this record was updated
listingId	string	100%	CarGurus.com listing ID (unique identifier)
vin 🔒	string	100%	Vehicle Identification Number (17-character unique code)
price 🔒	float	87%	Listed price in USD
expectedPrice 🔒	float	92%	Expected/fair market price in USD
priceDifferential	float	81%	Difference between listed and expected price (positive = overpriced)
dealScore 🔒	float	79%	CarGurus.com deal score (lower = better deal)
dealRatingKey	string	100%	Deal rating (GREAT_PRICE, GOOD_PRICE, FAIR_PRICE, POOR_PRICE, OVERPRICED, OUTLIER, NA)
mileage	float	98%	Odometer reading in miles
vehicleCondition	string	100%	Vehicle condition (USED, CPO, NEW)
stockNumber	string	98%	Dealer stock number
year	float	100%	Vehicle model year
make	string	100%	Vehicle manufacturer (e.g., Toyota, Ford)
model	string	100%	Vehicle model (e.g., Camry, F-150)
trim	string	98%	Vehicle trim level (e.g., LX, Limited)
bodyStyle	string	100%	Body style (sedan, pickup_truck, suv, crossover, hatchback, coupe, minivan, wagon, convertible, van)
exteriorColor	string	96%	Exterior color
interiorColor	string	85%	Interior color
transmission	string	98%	Transmission type (e.g., 8-Speed Automatic, Continuously Variable Transmission)
drivetrain	string	97%	Drivetrain (Four-Wheel Drive, Front-Wheel Drive, Rear-Wheel Drive, All-Wheel Drive, 4X2)
engine	string	99%	Engine description (e.g., 420 hp 3L I6)
fuelType	string	99%	Fuel type (Gasoline, Diesel, Biodiesel, Flex Fuel Vehicle, Hybrid, Electric)
fuelTankCapacity	float	95%	Fuel tank capacity in gallons
mpgCity	float	83%	City fuel economy in MPG
mpgHighway	float	83%	Highway fuel economy in MPG
mpgCombined	float	83%	Combined fuel economy in MPG
numberOfDoors	string	97%	Number of doors (2 doors, 3 doors, 4 doors)
description	string	97%	Full listing description text
options	array	99%	Array of vehicle options/features
images 🔒	array	81%	Array of highest resolution image URLs
imagesCount	float	81%	Number of listing images
daysAtDealer	float	100%	Days vehicle has been at dealer
daysOnMarket	float	100%	Days listing has been on market
accidentCount	float	91%	Number of accidents in vehicle history (0-5)
ownerCount	float	90%	Number of previous owners (1-5)
hasVehicleHistoryReport	bool	92%	Whether vehicle history report is available
optionsCount	float	99%	Number of options/features listed
highLeverage	bool	25%	Whether listing is flagged as high leverage
isNationwideShipper	bool	20%	Whether dealer ships nationwide
entityId	string	100%	CarGurus.com entity/trim ID (e.g., t113477)
carId	float	100%	CarGurus.com car ID
makeId	string	100%	CarGurus.com make ID (e.g., m32)
modelId	string	100%	CarGurus.com model ID (e.g., d493)
postalCode	string	100%	Listing postal code
sellerId	float	100%	CarGurus.com seller/dealer ID
sellerType	string	100%	Seller type (e.g., DEALER)
sellerName 🔒	string	100%	Dealer/seller name
sellerStreet 🔒	string	99%	Seller street address
sellerCity	string	99%	Seller city
sellerState	string	99%	Seller state (2-letter code)
sellerPostalCode	string	99%	Seller postal code
sellerCountry	string	99%	Seller country (e.g., US)
sellerLatitude 🔒	float	99%	Seller location latitude
sellerLongitude 🔒	float	99%	Seller location longitude
sellerPhone 🔒	string	88%	Seller phone number
sellerPhoneSMS 🔒	string	86%	Seller SMS phone number
sellerWebsite 🔒	string	100%	Seller website domain
isFranchiseDealer	bool	61%	Whether seller is a franchise dealer
sellerSalesStatus	string	100%	Seller sales status (PAYING, AVAILABLE)
sellerRating	float	95%	Seller average rating
sellerReviewCount	float	95%	Number of seller reviews
listingUrl 🔒	string	100%	Full URL to the CarGurus.com listing page

🔒 Premium fields are included in the data files but their values are replaced with [PREMIUM]. To access real values, use our website.

Field Distributions

Deal Rating Distribution (dealRatingKey)

Value	Count	Share
FAIR_PRICE	1,454,552	██████░░░░░░░░░░░░░░ 30.8%
GOOD_PRICE	929,935	████░░░░░░░░░░░░░░░░ 19.7%
NA	922,055	████░░░░░░░░░░░░░░░░ 19.5%
GREAT_PRICE	531,223	██░░░░░░░░░░░░░░░░░░ 11.3%
POOR_PRICE	504,368	██░░░░░░░░░░░░░░░░░░ 10.7%
OVERPRICED	324,032	█░░░░░░░░░░░░░░░░░░░ 6.9%
OUTLIER	54,237	░░░░░░░░░░░░░░░░░░░░ 1.1%

Body Style Distribution (bodyStyle)

Value	Count	Share
crossover	1,608,403	███████░░░░░░░░░░░░░ 34.2%
sedan	969,314	████░░░░░░░░░░░░░░░░ 20.6%
pickup_truck	852,595	████░░░░░░░░░░░░░░░░ 18.1%
suv	763,722	███░░░░░░░░░░░░░░░░░ 16.2%
coupe	130,479	█░░░░░░░░░░░░░░░░░░░ 2.8%
hatchback	98,599	░░░░░░░░░░░░░░░░░░░░ 2.1%
minivan	95,028	░░░░░░░░░░░░░░░░░░░░ 2.0%
van	74,250	░░░░░░░░░░░░░░░░░░░░ 1.6%
convertible	58,774	░░░░░░░░░░░░░░░░░░░░ 1.2%
wagon	52,779	░░░░░░░░░░░░░░░░░░░░ 1.1%

Fuel Type Distribution (fuelType)

Value	Count	Share
Gasoline	3,977,845	█████████████████░░░ 85.3%
Hybrid	232,867	█░░░░░░░░░░░░░░░░░░░ 5.0%
Flex Fuel Vehicle	194,680	█░░░░░░░░░░░░░░░░░░░ 4.2%
Electric	97,513	░░░░░░░░░░░░░░░░░░░░ 2.1%
Diesel	84,742	░░░░░░░░░░░░░░░░░░░░ 1.8%
Biodiesel	75,402	░░░░░░░░░░░░░░░░░░░░ 1.6%
Fuel Cell	533	░░░░░░░░░░░░░░░░░░░░ 0.0%
Compressed Natural Gas	190	░░░░░░░░░░░░░░░░░░░░ 0.0%
Propane	7	░░░░░░░░░░░░░░░░░░░░ 0.0%

Vehicle Condition Distribution (vehicleCondition)

Value	Count	Share
USED	4,374,343	███████████████████░ 92.7%
CPO	345,948	█░░░░░░░░░░░░░░░░░░░ 7.3%
NEW	111	░░░░░░░░░░░░░░░░░░░░ 0.0%

Top States by Listings (sellerState)

Value	Count	Share
TX	483,819	████░░░░░░░░░░░░░░░░ 19.6%
CA	416,792	███░░░░░░░░░░░░░░░░░ 16.9%
FL	396,951	███░░░░░░░░░░░░░░░░░ 16.1%
IL	193,318	██░░░░░░░░░░░░░░░░░░ 7.8%
OH	178,839	█░░░░░░░░░░░░░░░░░░░ 7.3%
NC	178,346	█░░░░░░░░░░░░░░░░░░░ 7.2%
GA	172,117	█░░░░░░░░░░░░░░░░░░░ 7.0%
PA	157,597	█░░░░░░░░░░░░░░░░░░░ 6.4%
VA	144,086	█░░░░░░░░░░░░░░░░░░░ 5.8%
NY	143,381	█░░░░░░░░░░░░░░░░░░░ 5.8%

---

Pre-built Views on Rebrowser

Rebrowser web viewer lets you filter, sort, and export any slice of this dataset interactively. These pre-built views are ready to open:

Car Listings

Great Deal Rated Listings — 504,586 records

↳ [{"field":"dealRatingKey","op":"is","value":"GREAT_PRICE"},{"sort":"price ASC"}]

Used Vehicle Listings — 3,823,751 records

↳ [{"field":"vehicleCondition","op":"is","value":"USED"},{"sort":"_lastSeenAt DESC"}]

Certified Pre-Owned Listings — 327,687 records

↳ [{"field":"vehicleCondition","op":"is","value":"CPO"},{"sort":"_lastSeenAt DESC"}]

Listings with Vehicle History Reports — 3,864,338 records

↳ [{"field":"hasVehicleHistoryReport","op":"isTrue"},{"sort":"_lastSeenAt DESC"}]

Nationwide Shipping Listings — 804,895 records

↳ [{"field":"isNationwideShipper","op":"isTrue"},{"sort":"_lastSeenAt DESC"}]

See all 35 views →

---

Code Examples

import pandas as pd
from pathlib import Path

# ── Car Listings ───────────────────────────────────────────────────────────
files = sorted(Path('rebrowser/carguruscom-dataset/car-listings/data').glob('*.parquet'))[-7:]
df = pd.concat([pd.read_parquet(f) for f in files])

# Deal rating breakdown
print(df['dealRatingKey'].value_counts().to_string())

# Average mileage and days on market by body style
print(df.groupby('bodyStyle')[['mileage', 'daysOnMarket']].mean().round(0).to_string())

# Top 10 states by listing volume
print(df['sellerState'].value_counts().head(10).to_string())

# Electric vehicle listings by state
ev = df[df['fuelType'] == 'Electric']
print(ev['sellerState'].value_counts().head(10).to_string())

# Highest-rated dealers (min 50 reviews)
dealers = df[df['sellerReviewCount'] >= 50].drop_duplicates('sellerId')
print(dealers.nlargest(10, 'sellerRating')[['sellerId', 'sellerCity', 'sellerState', 'sellerRating', 'sellerReviewCount']]
      .to_string(index=False))

---

Use Cases

Pricing Benchmarks

Compare deal ratings and price differentials across makes, models, and regions to identify where vehicles are consistently over- or under-priced relative to market expectations.

Inventory Analytics

Track body style and fuel type mix by state to understand regional demand patterns. Measure days-on-market by segment to spot slow-moving inventory.

Dealer Performance

Rank dealers by review count and rating, then cross-reference with their listing volume and deal rating distribution to assess competitive positioning.

EV Market Tracking

Filter for electric and hybrid listings to monitor EV penetration by state, compare mileage and pricing trends against gasoline equivalents, and track adoption over time.

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Full Dataset on Rebrowser

This is a 1,000-row preview sample. The full dataset is at rebrowser.net/products/datasets/carguruscom

Doing academic research? You may qualify for free access to a larger slice. See Free Datasets for Research.

On Rebrowser you can:

• Filter before you buy — use the web UI to apply filters on any field and sort by any column. Preview results before purchasing. You only pay for records that match your criteria.
• Export in your format — CSV, JSON, JSONL, or Parquet depending on your plan.
• Access via API — integrate dataset queries into your pipelines and workflows.
• Choose your freshness — plans range from a 14-day lag to real-time data with no delay.
• Select only the fields you need — keep exports lean. Premium fields with richer data are available on higher plans.

Pricing starts at $2 per 1,000 rows with volume discounts.

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License & Terms

Free for research and non-commercial use with attribution. See license terms and how to cite.

@misc{rebrowser_carguruscom,
  author       = {Rebrowser},
  title        = {CarGurus.com US Vehicle Listings Dataset},
  year         = {2026},
  howpublished = {\url{https://rebrowser.net/products/datasets/carguruscom}},
  note         = {Accessed: YYYY-MM-DD}
}

Commercial use requires a paid license — see pricing. Use of this data is governed by the Rebrowser Terms of Use, which may be updated at any time independently of this dataset.

---

Disclaimer

Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by CarGurus.com (US). Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect CarGurus.com (US) user credentials. By using this dataset, you agree to comply with CarGurus.com (US)'s Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset does not infringe on the rights of any third party.

You can also find this data on GitHub, Kaggle, Zenodo.