# Classic-Trader Scraper — Premium Classic Cars (`rastriq/classic-trader-scraper`) Actor
Scrape classic car listings from Classic-Trader.com, a premium European marketplace for collector vehicles. Extract price, make, model, year, condition, dealer info, and photos. Ideal for classic car valuation, market tracking, and investment analysis.
- **URL**: https://apify.com/rastriq/classic-trader-scraper.md
- **Developed by:** [Rastriq — Structured data from the world](https://apify.com/rastriq) (community)
- **Categories:** E-commerce, Other
- **Stats:** 3 total users, 2 monthly users, 98.3% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## 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
### What data can you scrape from Classic-Trader — Premium Classic Cars?
Extract structured data from Classic-Trader — Premium Classic Cars including listings, prices, and details.
- **Structured output** — Clean, normalized records ready for spreadsheets, BI tools or databases
- **Flexible filters** — Narrow your scrape by category, keyword, or other parameters
- **Export anywhere** — JSON, CSV, Excel, or via the Apify API and integrations
---
### Output: Classic-Trader — Premium Classic Cars data structure
The Actor returns structured records with all available fields from Classic-Trader — Premium Classic Cars listings.
#### Example output (one record)
```json
{
"brand": "bmw",
"year_min": 1960,
"year_max": 1975,
"max_items": 50,
"locale": "uk"
}
````
***
### 🚀 Quick start
1. Click **Start** with the default input to test with a small sample.
2. Open the **Output** tab to preview results.
3. Export as CSV / Excel / JSON, or connect via API.
***
### How to scrape Classic-Trader — Premium Classic Cars — input options
| Field | Description | Default |
|-------|-------------|---------|
| **Brand** | Select a brand to filter listings. Choose **(All brands)** to use a Category filter or scrape the full catalogue.If t... | `porsche` |
| **Category** | Search within a curated category page. Mutually exclusive with Brand — if both are filled, Category takes priority.Us... | — |
| **Year from** | Earliest production year to include. Leave empty for no lower bound.Example: 1960 includes all cars built from 1960 o... | — |
| **Year to** | Latest production year to include. Leave empty for no upper bound.Example: 1979 excludes cars built after 1979. | — |
| **Region** | Regional version of Classic-Trader to scrape.**UK** returns English labels and GBP prices — widest English-language c... | `uk` |
| **Max results** | Maximum listings to write to the dataset.Start with **15** for a quick test (1 page, ~30 sec). Raise to **500–2000** ... | `15` |
| **Max pages (optional cap)** | Hard cap on pages fetched (15 results per page). Leave empty to paginate until Max results or end of results.Tip: set... | — |
| **Proxy configuration** | Optional. Residential proxies recommended for best results. | Apify auto |
***
### 🔍 How it works
This Actor uses **HTTP requests** to extract data from Classic-Trader — Premium Classic Cars. It navigates search results or catalog pages, extracts structured data from each listing, and normalizes the output into a consistent schema.
***
### How much does it cost to scrape Classic-Trader — Premium Classic Cars?
This Actor uses **Pay-Per-Event** pricing — you pay only for results delivered, not for compute time.
| Plan | What you get |
|------|-------------|
| **Free tier** | $5/month of platform credits — enough for thousands of results |
| **Paid plans** | Scale to tens of thousands of results per run |
***
### 🔄 Integrations & scheduling
- **Schedule** daily/weekly runs from the Apify Console for automated data collection.
- Push results to **Google Sheets, Slack, Zapier, Make, webhooks** or any database.
- Fetch datasets via the **Apify REST API** or the official JavaScript/Python clients.
***
### Is it legal to scrape Classic-Trader — Premium Classic Cars?
This Actor collects only **publicly available** data. It does not log in, bypass paywalls, or access private information. You are responsible for using the extracted data in compliance with the site's Terms of Service and applicable data protection laws (including GDPR where relevant).
***
### ❓ FAQ
**Can I access the data via API?**
Yes. Every run stores its dataset on Apify. Fetch it via REST API or use the official JavaScript/Python clients.
**What export formats are supported?**
JSON, CSV, Excel (XLSX), XML, and HTML table. You can also push data directly to Google Sheets or any webhook endpoint.
**Do I need proxies?**
Residential proxies are recommended for best results. The default proxy configuration is pre-set.
### Related Actors from Rastriq
- [Wallapop Cars Scraper](https://apify.com/rastriq/wallapop-cars-scraper)
- [Cochesnet Spain Scraper](https://apify.com/rastriq/cochesnet-spain)
- [Autoscout24 Scraper](https://apify.com/rastriq/autoscout24-scraper)
- [Mobile De Scraper](https://apify.com/rastriq/mobile-de-scraper)
# Actor input Schema
## `brand` (type: `string`):
Select a brand to filter listings. Choose (All brands) to use a Category filter or scrape the full catalogue.
If the brand you need is not in the list, you can type its slug directly — e.g. de-tomaso, facel-vega. Slugs follow the URL pattern: classic-trader.com/uk/cars/search/{slug}
## `category` (type: `string`):
Search within a curated category page. Mutually exclusive with Brand — if both are filled, Category takes priority.
Use this when you want a cross-brand segment (e.g. all Muscle Cars, all Pre-War cars).
## `year_min` (type: `integer`):
Earliest production year to include. Leave empty for no lower bound.
Example: 1960 includes all cars built from 1960 onwards.
## `year_max` (type: `integer`):
Latest production year to include. Leave empty for no upper bound.
Example: 1979 excludes cars built after 1979.
## `locale` (type: `string`):
Regional version of Classic-Trader to scrape.
UK returns English labels and GBP prices — widest English-language coverage. Switch region to capture local inventory or local-currency prices.
## `max_items` (type: `integer`):
Maximum listings to write to the dataset.
Start with 15 for a quick test (1 page, ~30 sec). Raise to 500–2000 for full market snapshots.
## `max_pages` (type: `integer`):
Hard cap on pages fetched (15 results per page). Leave empty to paginate until Max results or end of results.
Tip: set to 1 for a fast single-page test without touching Max results.
## `proxyConfiguration` (type: `object`):
Proxy settings. Residential proxies recommended for runs above ~200 items. Datacenter proxies may get rate-limited at scale.
## Actor input object example
```json
{
"brand": "porsche",
"category": "",
"year_min": 1960,
"year_max": 1979,
"locale": "uk",
"max_items": 100,
"max_pages": 3,
"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 Scraper — Premium Classic Cars",
"description": "Scrape classic car listings from Classic-Trader.com, a premium European marketplace for collector vehicles. Extract price, make, model, year, condition, dealer info, and photos. Ideal for classic car valuation, market tracking, and investment analysis.",
"version": "0.0",
"x-build-id": "WY7rH0kL4IFwb54E2"
},
"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",
"enum": [
"",
"abarth",
"ac",
"alfa-romeo",
"allard",
"alpina",
"alpine",
"alvis",
"amc",
"armstrong-siddeley",
"aston-martin",
"auburn",
"audi",
"austin",
"austin-healey",
"autobianchi",
"bentley",
"bizzarrini",
"bmw",
"bond",
"borgward",
"bricklin",
"bristol",
"bugatti",
"buick",
"cadillac",
"caterham",
"chevrolet",
"chrysler",
"cisitalia",
"citroen",
"cord",
"daf",
"daimler",
"datsun",
"de-tomaso",
"delage",
"delahaye",
"delorean",
"desoto",
"dodge",
"donkervoort",
"duesenberg",
"facel-vega",
"ferrari",
"fiat",
"ford",
"frazer-nash",
"ginetta",
"glas",
"gordon-keeble",
"healey",
"hillman",
"hispano-suiza",
"honda",
"horch",
"hotchkiss",
"hudson",
"humber",
"hummer",
"innocenti",
"iso",
"isotta-fraschini",
"jaguar",
"jeep",
"jensen",
"jowett",
"kaiser",
"kieft",
"koenigsegg",
"lagonda",
"lamborghini",
"lancia",
"land-rover",
"lea-francis",
"lincoln",
"lister",
"lola",
"lotus",
"maserati",
"maybach",
"mazda",
"mclaren",
"mercedes-benz",
"mercury",
"mg",
"mini",
"mitsubishi",
"monteverdi",
"morgan",
"morris",
"nash-healey",
"nissan",
"nsu",
"oldsmobile",
"opel",
"packard",
"pagani",
"panhard",
"panther",
"peugeot",
"pierce-arrow",
"plymouth",
"pontiac",
"porsche",
"railton",
"reliant",
"renault",
"riley",
"rolls-royce",
"rover",
"ruf",
"saab",
"seat",
"shelby",
"simca",
"singer",
"skoda",
"standard",
"studebaker",
"stutz",
"subaru",
"sunbeam",
"talbot",
"talbot-lago",
"tatra",
"toyota",
"trabant",
"triumph",
"tvr",
"vauxhall",
"volkswagen",
"volvo",
"wartburg",
"westfield",
"wiesmann",
"willys",
"wolseley"
],
"type": "string",
"description": "Select a brand to filter listings. Choose (All brands) to use a Category filter or scrape the full catalogue.
If the brand you need is not in the list, you can type its slug directly — e.g. de-tomaso, facel-vega. Slugs follow the URL pattern: classic-trader.com/uk/cars/search/{slug}",
"default": "porsche"
},
"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": "Search within a curated category page. Mutually exclusive with Brand — if both are filled, Category takes priority.
Use this when you want a cross-brand segment (e.g. all Muscle Cars, all Pre-War cars).",
"default": ""
},
"year_min": {
"title": "Year from",
"minimum": 1886,
"maximum": 2030,
"type": "integer",
"description": "Earliest production year to include. Leave empty for no lower bound.
Example: 1960 includes all cars built from 1960 onwards."
},
"year_max": {
"title": "Year to",
"minimum": 1886,
"maximum": 2030,
"type": "integer",
"description": "Latest production year to include. Leave empty for no upper bound.
Example: 1979 excludes cars built after 1979."
},
"locale": {
"title": "Region",
"enum": [
"uk",
"de",
"ch",
"at",
"au",
"fr",
"es",
"nl",
"it"
],
"type": "string",
"description": "Regional version of Classic-Trader to scrape.
UK returns English labels and GBP prices — widest English-language coverage. Switch region to capture local inventory or local-currency prices.",
"default": "uk"
},
"max_items": {
"title": "Max results",
"minimum": 1,
"maximum": 10000,
"type": "integer",
"description": "Maximum listings to write to the dataset.
Start with 15 for a quick test (1 page, ~30 sec). Raise to 500–2000 for full market snapshots.",
"default": 15
},
"max_pages": {
"title": "Max pages (optional cap)",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Hard cap on pages fetched (15 results per page). Leave empty to paginate until Max results or end of results.
Tip: set to 1 for a fast single-page test without touching Max results."
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy settings. Residential proxies recommended for runs above ~200 items. Datacenter proxies may get rate-limited at scale."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```