# Copart Data Scraper (`devcake/copart-data-scraper`) Actor
Extract Copart auction vehicle data from US, UK, Canada, UAE, and Ireland. Includes pricing, damage reports, VINs, specs, and images.
- **URL**: https://apify.com/devcake/copart-data-scraper.md
- **Developed by:** [devcake](https://apify.com/devcake) (community)
- **Categories:** E-commerce, Other
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.50 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Copart Auction Scraper — Wholesale Salvage Cars, Trucks & Motorcycles Data Extractor
Find salvage cars 🚗, trucks 🚚, and motorcycles 🏍️ at wholesale prices. Extract complete Copart auction data including pricing 💰, damage reports 🔍, VIN numbers, technical specs 🔧, and vehicle photos 📸 — all in one structured JSON export.
---
### 🔍 What It Does
This Apify Actor searches Copart auctions across **5 regions: US, UK, Canada, UAE, and Ireland** 🌎 Pulls together everything you need to know about a vehicle before you bid — current bids 💵, damage details 🔦, technical specs 🔬, photos 📷, and more. Supports **multiple search queries** running concurrently for maximum speed ⚡
---
### 👥 Who It's For
- 🚘 **Car Dealers & Resellers** — Source salvage and wholesale vehicles for resale
- 📋 **Insurance Companies** — Research total loss valuations and comparable vehicles
- 🔩 **Auto Wreckers & Dismantlers** — Find parts vehicles and buying opportunities
- 📈 **Market Researchers** — Track Copart auction pricing trends and vehicle availability
- 🏠 **Individual Buyers** — Find deals on salvage and used vehicles
---
### 📊 What You Get
#### ✅ Basic Info (Always Included)
- 📍 Lot number and auction location
- 🎨 Make, model, year, and color
- 🔎 VIN number (Vehicle Identification Number)
- 💵 Current bid and buy-it-now price
- 💲 Estimated retail value (ACV)
- 🛣️ Odometer reading (miles/km)
- 💥 Damage description
- ✅ Title status: clean, salvage, rebuilt
- 🚗 Run & drive status
- 🔑 Keys included
#### 🔧 Extra Details (Optional Add-ons)
- 💢 Detailed damage breakdown with severity levels
- ⚙️ Engine, transmission, and drivetrain specs
- 🎛️ Factory options and features
- 📹 All vehicle photos and videos
#### 📋 Example JSON Output
```json
{
"lot_number": 14818427,
"vehicle": {
"make": "Toyota",
"model": "Camry",
"year": 2021,
"vin": "4T1G11AK5MU***018",
"color": "Silver",
"vehicle_type": "Sedan",
"vehicle_category": "Car"
},
"specifications": {
"engine": "2.5L I4",
"cylinders": 4,
"transmission": "Automatic",
"drivetrain": "FWD",
"fuel_type": "Gasoline"
},
"condition": {
"odometer": 54230,
"odometer_type": "Miles",
"damage_description": "Front END",
"run_and_drive": "Runs",
"keys_available": true
},
"auction": {
"current_bid": 18500,
"buy_it_now_price": 22500,
"estimated_retail_value": 28000,
"sale_status": "On Approval",
"auction_date": "2026-05-20T14:00:00"
},
"location": {
"yard_name": "Atlanta North",
"yard_number": 855,
"title_state": "GA"
},
"title": {
"title_type": "Clean"
},
"seller": "Enterprise",
"features": ["Bluetooth", "Backup Camera", "Power Windows"],
"wholesale_vehicle": false,
"thumbnail_url": "https://csimg90.mbauto.com/media/14818427/90.jpg",
"damages": [
{
"area": "Front END",
"item": "Bumper",
"damage": "All",
"severity": "Minor",
"image_url": "https://csimg90.mbauto.com/media/14818427/damage/1.jpg"
}
],
"technical_specs": {
"abs": "Yes",
"airbags": "Yes",
"cd_player": "Yes",
"climate_control": "Automatic",
"cruise_control": "Yes"
},
"engines": [
{
"type": "Gasoline",
"displacement": "2.5L",
"horsepower": "203 HP"
}
],
"equipment": [
"Air Conditioning",
"Power Steering",
"Power Windows",
"Bluetooth",
"Backup Camera"
],
"images": [
{
"type": "thumbnail",
"url": "https://csimg90.mbauto.com/media/14818427/90.jpg",
"thumbnail": "https://csimg90.mbauto.com/media/14818427/90_thumb.jpg",
"high_res": "https://csimg90.mbauto.com/media/14818427/90_full.jpg",
"label": "Front View"
}
]
}
````
***
### 💡 Use Cases
#### 💰 Find Salvage Deals
Search by make and model. Filter by year range and damage type. See current bids and buy-it-now prices so you can spot opportunities fast.
#### 📊 Research Auction Prices
Pull Copart pricing data across multiple regions 🌎 Compare what vehicles are selling for against their retail value.
#### 🔩 Source Parts Vehicles
Find specific makes/models at Copart yards near you. Check availability and pricing before the auction starts.
#### 📦 Stock Your Inventory
See what vehicles are available through Copart auctions. Analyze damage patterns, mileage, and pricing for your target inventory.
#### 📋 Support Insurance Claims
Get comparable vehicle data for total loss assessments. Pull accurate current auction values by make, model, year, and condition.
***
### ⚡ Quick Start
1. 🔎 **Search** — Enter makes/models (Toyota, Lexus, Honda) as multiple queries
2. 🎛️ **Filter** — Choose region, enable year range, set max results
3. ▶️ **Run** — Get complete Copart vehicle data in minutes
4. 📥 **Export** — Download as CSV or JSON
***
### ❓ FAQ
⚖️ **Is this legal to use?**
This Copart scraper is for authorized research and business purposes. You are responsible for complying with Copart's Terms of Service and applicable laws. It is not affiliated with or endorsed by Copart.
🔥 **Can I search multiple makes at once?**
Yes! Enter multiple search queries (Toyota, Lexus, Honda) and they'll be scraped **concurrently** — up to 10x faster than sequential queries.
🌍 **Does it work in the UK, Canada, and Ireland?**
Yes. Supports **US, UK, Canada, UAE, and Ireland**. Germany has limited data availability (search only, no detail pages).
🔎 **Can I get VIN numbers?**
Yes, VIN numbers are included in every vehicle record.
💾 **What formats can I export?**
Results are available as JSON (default) and can be converted to CSV using Apify's built-in export options.
📅 **How does the year range filter work?**
Toggle the "Enable Year Range" checkbox to filter results by year\_from and year\_to. When disabled, all years are included.
***
*Data sourced from [Copart](https://www.copart.com) — the world's largest vehicle auction company.*
# Actor input Schema
## `domain` (type: `string`):
Select the Copart auction region to scrape
## `search_queries` (type: `array`):
Array of make/model keywords. Use \* for all vehicles. Examples: Toyota, Honda Civic, Ford F-150.
## `max_vehicles` (type: `integer`):
Start with 10-20 for testing. Increase for production scrapes. Max: 10,000
## `year_range_enabled` (type: `boolean`):
When enabled, applies the Year From/To filters below
## `year_from` (type: `integer`):
Minimum vehicle year (1990-2026)
## `year_to` (type: `integer`):
Maximum vehicle year (1990-2026)
## `include_build_sheets` (type: `boolean`):
Technical specifications, engine details, and equipment options
## `include_damage_details` (type: `boolean`):
Detailed damage assessment with severity levels
## `include_images` (type: `boolean`):
All vehicle photos and videos
## `proxyConfiguration` (type: `object`):
Automatically uses residential proxy matching Copart domain region.
## Actor input object example
```json
{
"domain": "US",
"search_queries": [
"Lexus"
],
"max_vehicles": 20,
"year_range_enabled": false,
"year_from": 2015,
"year_to": 2026,
"include_build_sheets": true,
"include_damage_details": false,
"include_images": false,
"proxyConfiguration": {
"__typename": "ProxyConfiguration"
}
}
```
# Actor output Schema
## `dataset` (type: `string`):
View all scraped vehicle data
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"search_queries": [
"Lexus"
],
"max_vehicles": 20
};
// Run the Actor and wait for it to finish
const run = await client.actor("devcake/copart-data-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"search_queries": ["Lexus"],
"max_vehicles": 20,
}
# Run the Actor and wait for it to finish
run = client.actor("devcake/copart-data-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"search_queries": [
"Lexus"
],
"max_vehicles": 20
}' |
apify call devcake/copart-data-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=devcake/copart-data-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Copart Data Scraper",
"description": "Extract Copart auction vehicle data from US, UK, Canada, UAE, and Ireland. Includes pricing, damage reports, VINs, specs, and images.",
"version": "0.0",
"x-build-id": "qUiUiVafaQeKOLyth"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/devcake~copart-data-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-devcake-copart-data-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/devcake~copart-data-scraper/runs": {
"post": {
"operationId": "runs-sync-devcake-copart-data-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/devcake~copart-data-scraper/run-sync": {
"post": {
"operationId": "run-sync-devcake-copart-data-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"search_queries"
],
"properties": {
"domain": {
"title": "Region",
"enum": [
"US",
"UK",
"CA",
"AE",
"IE"
],
"type": "string",
"description": "Select the Copart auction region to scrape",
"default": "US"
},
"search_queries": {
"title": "Search Queries",
"type": "array",
"description": "Array of make/model keywords. Use * for all vehicles. Examples: Toyota, Honda Civic, Ford F-150.",
"items": {
"type": "string"
}
},
"max_vehicles": {
"title": "Max Vehicles",
"minimum": 20,
"maximum": 10000,
"type": "integer",
"description": "Start with 10-20 for testing. Increase for production scrapes. Max: 10,000"
},
"year_range_enabled": {
"title": "Enable Year Range",
"type": "boolean",
"description": "When enabled, applies the Year From/To filters below",
"default": false
},
"year_from": {
"title": "Year From",
"minimum": 1990,
"maximum": 2026,
"type": "integer",
"description": "Minimum vehicle year (1990-2026)",
"default": 2015
},
"year_to": {
"title": "Year To",
"minimum": 1990,
"maximum": 2026,
"type": "integer",
"description": "Maximum vehicle year (1990-2026)",
"default": 2026
},
"include_build_sheets": {
"title": "Build sheets",
"type": "boolean",
"description": "Technical specifications, engine details, and equipment options",
"default": true
},
"include_damage_details": {
"title": "Damage reports",
"type": "boolean",
"description": "Detailed damage assessment with severity levels",
"default": false
},
"include_images": {
"title": "Images",
"type": "boolean",
"description": "All vehicle photos and videos",
"default": false
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Automatically uses residential proxy matching Copart domain region.",
"default": {
"__typename": "ProxyConfiguration"
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```