# Classic-Trader Classic Cars Scraper (`rastriq/classic-trader-scraper`) Actor
Scrape classic cars for sale on Classic-Trader.com. Filter by category, brand, and production year. Returns full listing data: price, mileage, location, seller, and auction info.
- **URL**: https://apify.com/rastriq/classic-trader-scraper.md
- **Developed by:** [ScrappingLatam](https://apify.com/rastriq) (community)
- **Categories:** E-commerce, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.00 / 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.
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
## Classic-Trader Classic Cars Scraper
Extract full listings from [Classic-Trader.com](https://www.classic-trader.com), Europe's largest online marketplace for classic cars. Filter by **category**, **brand**, and **production year** — each run returns clean, spreadsheet-ready records with price, mileage, location, seller, and auction data.
### What it does
Classic-Trader lists ~8,000 classic cars for sale across dealers, auctions, and private sellers in Europe. This Actor pulls live listings and returns one flat record per ad — ready for BI tools, spreadsheets, or downstream enrichment.
### Use cases
- Price monitoring and market intelligence for classic-car dealers
- Lead generation for restoration shops and parts suppliers
- Academic research on collector-car valuation trends
- Feeding downstream enrichment or comparison pipelines (Hagerty, Collectible, RM Sotheby's, etc.)
- Monitoring upcoming auctions by brand or body type
### Input
| Field | Type | Description |
|--------------|---------|------------------------------------------------------------------------------------------------------------------|
| `brand` | Brand — e.g. `bmw`, `porsche`, `ferrari`, `mercedes-benz`. Leave empty for all. |
| `category` | Built-in category (e.g. `classic-convertibles`, `muscle-cars`, `pre-war-cars`). Mutually exclusive with `brand`. |
| `year_min` | Earliest production year. |
| `year_max` | Latest production year. |
| `locale` | Locale / language — `uk`, `de`, `fr`, `es`, etc. Controls language and displayed currency. |
| `max_items` | Hard cap on total rows returned. |
| `max_pages` | Optional limit on how many result pages to scan. |
### Output
Each dataset record contains:
| Field | Description |
|-------------------------------|------------------------------------------------------------------|
| `id`, `url` | Stable Classic-Trader listing id and canonical URL |
| `title`, `title_by_seller` | Listing title and seller-authored subtitle |
| `brand`, `brand_slug` | Make |
| `model`, `model_slug` | Model series |
| `model_specification` | Sub-model / variant |
| `manufacturer_code` | Factory code |
| `year_of_production` | Year of this specific vehicle |
| `year_begin_of_production` | First production year of the model series |
| `year_end_of_production` | Last production year |
| `body`, `body_detailed` | Body type (coupe, convertible, saloon…) |
| `cubic_capacity_cc` | Engine displacement |
| `power_hp`, `power_kw` | Engine power |
| `weight_kg` | Weight |
| `mileage_value`, `mileage_unit` | Odometer |
| `price_amount`, `price_currency` | Price in the locale's currency |
| `original_price_amount`, `original_price_currency` | Original asking price before FX conversion |
| `selling_method` | `classified_ad_sale` / `auction_sale` |
| `is_replica`, `has_report`, `is_converted` | Flags |
| `auction_*` | Bid count, reserve info, estimated range, starts/ends |
| `seller_*` | Dealer / private / auction house, verification flag |
| `location_*` | Country, city, postal code, lat/lng |
| `image_url`, `images_count` | Primary image URL and gallery size |
| `publish_date`, `update_date` | Listing metadata |
| `scraped_at` | ISO-8601 UTC timestamp |
### Example input
```json
{
"brand": "bmw",
"year_min": 1960,
"year_max": 1975,
"max_items": 50,
"locale": "uk"
}
````
Scrape BMW classics from 1960 to 1975, returning up to 50 listings, priced in GBP.
### Notes
- Every listing is emitted at most once per run — duplicates across pages are filtered out automatically.
- Classic-Trader's search does not combine brand and category filters; use one or the other for the most specific results.
- Requests are paced to be polite to the source site.
### Legal
This Actor scrapes the public Classic-Trader.com website without authentication. Users are responsible for complying with Classic-Trader's [Terms of Service](https://www.classic-trader.com/uk/terms-of-use) and applicable data protection law.
# Actor input Schema
## `brand` (type: `string`):
Brand slug, e.g. bmw, porsche, ferrari, mercedes-benz, jaguar, alfa-romeo. Leave empty for all brands. Mutually exclusive with 'Category' — if both are set, 'Category' wins.
## `category` (type: `string`):
One of the built-in category pages. Mutually exclusive with 'Brand'.
## `year_min` (type: `integer`):
Earliest production-begin year. Leave empty for no lower bound.
## `year_max` (type: `integer`):
Latest production-end year. Leave empty for no upper bound.
## `locale` (type: `string`):
URL locale prefix. UK is the default and returns English labels with prices in GBP.
## `max_items` (type: `integer`):
Hard cap on total rows written to the dataset. 15 results per page.
## `max_pages` (type: `integer`):
Optional page-count cap. Leave empty to paginate until max\_items or end-of-results.
## `proxyConfiguration` (type: `object`):
Select proxy type. Residential proxies recommended for best results.
## Actor input object example
```json
{
"brand": "Caterpillar",
"category": "excavators",
"locale": "uk",
"max_items": 100,
"max_pages": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
```
# 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 = {
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("rastriq/classic-trader-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 = { "proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
} }
# Run the Actor and wait for it to finish
run = client.actor("rastriq/classic-trader-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 '{
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}' |
apify call rastriq/classic-trader-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=rastriq/classic-trader-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Classic-Trader Classic Cars Scraper",
"description": "Scrape classic cars for sale on Classic-Trader.com. Filter by category, brand, and production year. Returns full listing data: price, mileage, location, seller, and auction info.",
"version": "0.0",
"x-build-id": "3992NsqXsVD69ppg3"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/rastriq~classic-trader-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-rastriq-classic-trader-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/rastriq~classic-trader-scraper/runs": {
"post": {
"operationId": "runs-sync-rastriq-classic-trader-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/rastriq~classic-trader-scraper/run-sync": {
"post": {
"operationId": "run-sync-rastriq-classic-trader-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"brand": {
"title": "🏷️ Brand",
"type": "string",
"description": "Brand slug, e.g. bmw, porsche, ferrari, mercedes-benz, jaguar, alfa-romeo. Leave empty for all brands. Mutually exclusive with 'Category' — if both are set, 'Category' wins.",
"default": ""
},
"category": {
"title": "📂 Category",
"enum": [
"",
"american-classics",
"british-classics",
"french-classics",
"german-classic-cars",
"italian-classics",
"japan-classic-cars",
"classic-convertibles",
"classic-race-cars",
"classic-roadster",
"mercedes-benz-gullwing",
"mercedes-benz-pagoda",
"mille-miglia",
"muscle-cars",
"pre-war-cars",
"vintage-cars"
],
"type": "string",
"description": "One of the built-in category pages. Mutually exclusive with 'Brand'.",
"default": ""
},
"year_min": {
"title": "📅 Year from (production begin)",
"minimum": 1886,
"maximum": 2030,
"type": "integer",
"description": "Earliest production-begin year. Leave empty for no lower bound."
},
"year_max": {
"title": "📅 Year to (production end)",
"minimum": 1886,
"maximum": 2030,
"type": "integer",
"description": "Latest production-end year. Leave empty for no upper bound."
},
"locale": {
"title": "🗣️ Locale",
"enum": [
"uk",
"de",
"ch",
"at",
"au",
"fr",
"es",
"nl",
"it"
],
"type": "string",
"description": "URL locale prefix. UK is the default and returns English labels with prices in GBP.",
"default": "uk"
},
"max_items": {
"title": "🔢 Max results",
"minimum": 1,
"maximum": 10000,
"type": "integer",
"description": "Hard cap on total rows written to the dataset. 15 results per page.",
"default": 10
},
"max_pages": {
"title": "📄 Max pages",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Optional page-count cap. Leave empty to paginate until max_items or end-of-results."
},
"proxyConfiguration": {
"title": "🛡️ Proxy configuration",
"type": "object",
"description": "Select proxy type. Residential proxies recommended for best results."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```