How to use AutoScout24 Scraper

Step by step: in the Apify Store, over the API, from JavaScript or Python, in n8n, and from AI agents through MCP or LangChain.

$0.44 per 1,000 Car listings (live Apify price on 2026-10-31).

1. In the Apify Store (no code)

1. Open arcadium/eu-car-listings and sign in to Apify (a free account works).
2. Fill in the input form. The fields below are the ones the example uses.
3. Set a maximum cost per run in the run options if you want a hard cap.
4. Start the run. Rows appear in the Output tab as they arrive.
5. Export the dataset as JSON, CSV or Excel, or connect an integration.

Example input:

{
  "startUrls": [
    "https://www.autoscout24.de/lst/volkswagen/golf?atype=C&cy=D&fregfrom=2020"
  ],
  "maxResultsPerSearch": 50
}

2. Over the Apify API

The synchronous endpoint runs the actor and returns its rows in one call (for runs up to about five minutes; use the asynchronous run endpoint for longer ones).

curl -X POST "https://api.apify.com/v2/acts/arcadium~eu-car-listings/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":["https://www.autoscout24.de/lst/volkswagen/golf?atype=C&cy=D&fregfrom=2020"],"maxResultsPerSearch":50}'

3. From JavaScript

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('arcadium/eu-car-listings').call({
  "startUrls": [
    "https://www.autoscout24.de/lst/volkswagen/golf?atype=C&cy=D&fregfrom=2020"
  ],
  "maxResultsPerSearch": 50
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

4. From Python

# pip install apify-client
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("arcadium/eu-car-listings").call(run_input={
    "startUrls": ["https://www.autoscout24.de/lst/volkswagen/golf?atype=C&cy=D&fregfrom=2020"],
    "maxResultsPerSearch": 50,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

5. In n8n

Paste this node into a workflow (it is a plain HTTP Request node). Create a Header Auth credential with name Authorization and value Bearer <APIFY_TOKEN>; each returned row becomes one item for the next node.

{
  "nodes": [
    {
      "name": "Run arcadium/eu-car-listings",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        0,
        0
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/arcadium~eu-car-listings/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"startUrls\":[\"https://www.autoscout24.de/lst/volkswagen/golf?atype=C&cy=D&fregfrom=2020\"],\"maxResultsPerSearch\":50}",
        "options": {
          "timeout": 300000
        }
      }
    }
  ],
  "connections": {}
}

6. From an AI assistant (MCP)

Add Apify’s MCP server to Claude Desktop, Cursor, VS Code or any MCP client, limited to this actor:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=arcadium/eu-car-listings",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

More on the MCP page.

7. From LangChain

# pip install langchain-apify   (reads APIFY_API_TOKEN from the environment)
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("arcadium/eu-car-listings")
rows = tool.invoke({"run_input": {
    "startUrls": ["https://www.autoscout24.de/lst/volkswagen/golf?atype=C&cy=D&fregfrom=2020"],
    "maxResultsPerSearch": 50,
}})
# or give `tool` to an agent: create_react_agent(llm, [tool])

Sample output

One row, from the example in the actor’s README. Long text is shortened and lists are cut to two items.

{
  "rowType": "vehicle",
  "platform": "autoscout24",
  "site": "autoscout24.de",
  "listingId": "c602bfa6-95b9-4317-ad1d-8a59fa9f149d",
  "url": "https://www.autoscout24.de/angebote/bmw-3er-d-sport-line-ahk-navi-sitzheizung-diesel-blau-cat_ma13gr100038ge26va104mt118tr189-c602bfa6-95b9-4317-ad1d-8a59fa9...",
  "make": "BMW",
  "model": "320",
  "modelGroup": "3er",
  "variant": "d Sport Line*AHK*NAVI*SITZHEIZUNG",
  "condition": "used",
  "firstRegistration": "2021-08",
  "year": 2021,
  "mileageKm": 135972,
  "price": 16990,
  "currency": "EUR",
  "priceRating": "top_price",
  "fuel": "diesel",
  "transmission": "manual",
  "powerKw": 140,
  "powerHp": 190,
  "city": "Bad Segeberg ( bei Hamburg)",
  "zip": "23795",
  "countryCode": "DE",
  "sellerType": "dealer",
  "dealerName": "H&S Automobile Hamburg GmbH",
  "dealerRating": null,
  "dealerRatingCount": null,
  "photoCount": null,
  "detailed": false,
  "searchRank": 1
}

Schedule it

In Apify Console, create a Task from your input and add a Schedule (for example daily). Each run writes a new dataset; integrations can push the rows to Google Sheets, Slack, a webhook or your database.