File size: 17,443 Bytes
f4a0498
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e937225
f4a0498
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0d54b0e
f4a0498
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ba72cbc
f4a0498
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e937225
 
 
 
f4a0498
 
0d54b0e
f4a0498
 
e937225
f4a0498
 
 
 
 
 
 
 
 
 
e93749c
f4a0498
 
 
 
e93749c
 
 
0d54b0e
f4a0498
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0d54b0e
 
 
 
 
 
 
f4a0498
 
 
 
 
 
 
 
 
 
0d54b0e
 
 
 
 
 
 
 
 
 
f4a0498
 
 
 
 
 
 
 
 
 
0d54b0e
 
 
 
 
 
 
 
e937225
f4a0498
 
 
 
 
 
 
 
 
 
0d54b0e
 
 
f4a0498
 
 
 
 
 
 
 
 
 
0d54b0e
 
 
 
 
 
 
 
 
 
f4a0498
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0d54b0e
f4a0498
 
 
0d54b0e
f4a0498
 
 
0d54b0e
f4a0498
 
 
0d54b0e
f4a0498
 
 
0d54b0e
f4a0498
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e93749c
f4a0498
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366

---
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](https://rebrowser.net/products/datasets/carguruscom) 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](https://rebrowser.net/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](https://rebrowser.net/contact-us).*


---

### 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.


![Record Growth](car-listings/chart-growth.svg)

| 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](https://rebrowser.net/products/datasets/carguruscom).



#### Field Distributions


<details>
<summary><strong>Deal Rating Distribution</strong> (<code>dealRatingKey</code>)</summary>


| 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% |

</details>


<details>
<summary><strong>Body Style Distribution</strong> (<code>bodyStyle</code>)</summary>


| 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% |

</details>


<details>
<summary><strong>Fuel Type Distribution</strong> (<code>fuelType</code>)</summary>


| 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% |

</details>


<details>
<summary><strong>Vehicle Condition Distribution</strong> (<code>vehicleCondition</code>)</summary>


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

</details>


<details>
<summary><strong>Top States by Listings</strong> (<code>sellerState</code>)</summary>


| 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% |

</details>






---

## 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](https://rebrowser.net/products/datasets/carguruscom/car-listings/views/great-deal-listings) — 504,586 records

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

[Used Vehicle Listings](https://rebrowser.net/products/datasets/carguruscom/car-listings/views/used-vehicle-listings) — 3,823,751 records

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

[Certified Pre-Owned Listings](https://rebrowser.net/products/datasets/carguruscom/car-listings/views/cpo-certified-listings) — 327,687 records

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

[Listings with Vehicle History Reports](https://rebrowser.net/products/datasets/carguruscom/car-listings/views/listings-with-vehicle-history) — 3,864,338 records

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

[Nationwide Shipping Listings](https://rebrowser.net/products/datasets/carguruscom/car-listings/views/nationwide-shipping-listings) — 804,895 records

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


*[See all 35 views →](https://rebrowser.net/products/datasets/carguruscom/car-listings)*




---

## Code Examples

```python
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.



---

## Full Dataset on Rebrowser


This is a 1,000-row preview sample. The full dataset is at [rebrowser.net/products/datasets/carguruscom](https://rebrowser.net/products/datasets/carguruscom)

Doing academic research? You may qualify for free access to a larger slice. See [Free Datasets for Research](https://rebrowser.net/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](https://rebrowser.net/pricing) starts at **$2 per 1,000 rows** with volume discounts.

---

## License & Terms

**Free for research and non-commercial use** with attribution. See [license terms](https://rebrowser.net/free-datasets-for-research#license) and [how to cite](https://rebrowser.net/free-datasets-for-research#citation).

```bibtex
@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](https://rebrowser.net/pricing). Use of this data is governed by the [Rebrowser Terms of Use](https://rebrowser.net/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](https://github.com/rebrowser/carguruscom-dataset), [Kaggle](https://www.kaggle.com/datasets/rebrowser/carguruscom-dataset), [Zenodo](https://doi.org/10.5281/zenodo.18716193).