# AutoScout24 Underpriced Cars — Discount vs Model Median (`jpmarketdata/autoscout24-underpriced-deals`) Actor

Type a make/model and get the cheapest AutoScout24 listings measured against every car of that model, not one page. Returns the model's median, then for each of the 40 cheapest cars its price, % under the median, mileage and year. $0.02 per make/model; unmeasurable search = free. Unofficial.

- **URL**: https://apify.com/jpmarketdata/autoscout24-underpriced-deals.md
- **Developed by:** [h ichi](https://apify.com/jpmarketdata) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 model scanned against its populations

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## AutoScout24 Underpriced Cars — Discount vs Model Median

**What it does:** Counts the whole AutoScout24 stock of a make/model to find its median asking price, then lists the cheapest cars with how far under that median each sits.

**You enter:** Make/model slugs, e.g. `bmw/3er`, a country (default de) and a deal threshold (default 20% under).

**You get:** One row per make/model: median asking price and price range across the whole stock. One row per deal, from the 40 cheapest cars checked: price, % under the median, how many cars are cheaper (a bounded count), mileage, registration year, dealer or private.

**Price:** $0.02 per make/model, and every make/model in your list is charged. +$0.002 per deal found (on by default; turn "Include individual deals" off for the summary only). A search that can't be measured = no charge.

**Example:** enter `bmw/3er` (Germany, cars first registered from 2020) → model median €34,542 across all 5,756 cars in that search · cheapest deal €8,499 · 75.4% under the median (real run, 2026-08-09)

> Unofficial — not affiliated with AutoScout24. Reads public pages only.

### How a car gets placed

`priceto=X` is a search filter, and the site prints the exact hit count for any filter you send. A ladder of price ceilings therefore gives exact counts for the whole search — every car in it, not a sample. Each of the cheapest cars is then placed against those counts.

Measured on 2026-08-09 (real run) — `bmw/3er` on autoscout24.de, cars first registered from 2020; the deepest-discount car of that run:

```json
{
  "price": 8499,
  "populationMedian": 34542,
  "discountVsMedianPct": 75.4,
  "pricePercentile": {
    "minPct": 0.0,
    "maxPct": 0.0,
    "cheaperThanAtLeast": 0,
    "cheaperThanAtMost": 2,
    "withinLadder": true
  }
}
```

**Counted, never guessed.** In that run no car was priced at or below €6,400 and 2 cars at or below €12,000 — both counts came from the site. This car sits somewhere between those two rungs, and the output says exactly that rather than inventing a single number inside the band.

### When it refuses

If the ladder does not give exact whole-search counts — too few cars, or a filter the site will not separate — the run returns `basisUsable: false` with the reason and **is not charged**. A "deal" measured against page one is the product this one exists to replace.

`priceBasis` always says where the median came from — `count-ladder` when the site's own counts covered the whole search, `sample` when only the cars actually read could be used — so a whole-search median can never be mistaken for a 20-car page median.

### Pricing

**$0.02 per make/model scanned**, plus **$0.002 per deal returned** (deals are on by default; turn "Include individual deals" off for the summary only). A search the ladder cannot measure is not charged. You pay per make/model, not per month.

Only the search page `/lst/{make}[/{model}]?` is read; the individual car page is never opened (robots.txt forbids `/angebote/`). Each deal row says whether the seller is a dealer or a private seller, and carries the dealer's company name, postcode and city where the site shows them — a private seller's car carries its country only. A contact name, phone number or street never appears in a row. Nothing is stored between runs.

### If something goes wrong

- **Wrong number or a failed run?** Open a ticket on the **Issues** tab. I read every one and reply within 2 business days (Japan time).
- **You never get a fake "empty" result.** If the site can't be read, the run fails and says so.
- **A make/model that can't be measured = no charge.** A make/model that could be measured costs $0.02 even when nothing is underpriced right now — that is the answer you asked for.
- **Checked every week.** An automatic test runs this tool weekly; if the site changes, I fix it.
- **Public pages only.** No login, no personal data, and it goes easy on the site.

### More tools by the same author

- [AutoScout24 Listings — One Row per Car, $0.0006 Each](https://apify.com/jpmarketdata/autoscout24-listings)
- [AutoScout24 Used Car Prices by Model — Median & Range](https://apify.com/jpmarketdata/autoscout24-price-market-checker)
- [Vinted Prices by Country — Cheapest vs Priciest Site](https://apify.com/jpmarketdata/vinted-cross-country-price-gap)
- [Vinted Listings — One Row per Item, $0.0008 Each](https://apify.com/jpmarketdata/vinted-listings)
- [Vinted Asking Prices — Median, Range & Favourites](https://apify.com/jpmarketdata/vinted-price-checker)
- [Vinted Underpriced Listings — Cheap and Most Favourited](https://apify.com/jpmarketdata/vinted-underpriced-deals)

All tools (Japan marketplaces, real estate, jobs, racing, prediction markets): <https://apify.com/jpmarketdata>

### Disclaimer

Unofficial, independent tool — **not affiliated with, endorsed by, or sponsored by AutoScout24**. Product names and logos belong to their owners and only say where the data comes from. Data is read from public pages, for market research; check before you act on it.

# Actor input Schema

## `models` (type: `array`):

e.g. "bmw/3er", "volkswagen/golf", or just "bmw". A narrower search gives a tighter population and a more meaningful percentile.

## `country` (type: `string`):

AutoScout24 domain to search. The population, the currency and the model slugs are all country-specific.

## `dealThresholdPct` (type: `integer`):

A listing counts as a deal at or below this share of the population median. 80 means "20% under the market".

## `maxCandidates` (type: `integer`):

How many of the cheapest listings to fetch and position. Sorted by price ascending, ~18 per page.

## `firstRegistrationFrom` (type: `integer`):

Applied to the population and the candidates alike.

## `mileageMaxKm` (type: `integer`):

Applied to the population and the candidates alike, so the percentile stays a like-for-like comparison.

## `maxPopulationSpread` (type: `string`):

Comparability ceiling. A search whose population spans more than this from p10 to p90 is mixing model years and conditions, so a discount against its median compares unlike cars — it is refused rather than scored.

## `implausibleBelowPct` (type: `string`):

Listings under this share of the median are placeholders, not prices — dealers use EUR 1 for price-on-request, deposits and parts cars. They are counted in implausibleExcluded and kept out of the deal list.

## `ladderSteps` (type: `integer`):

Rungs in the count ladder that builds the population CDF. More rungs mean tighter percentile bounds and more requests.

## `refineSteps` (type: `integer`):

Extra rungs placed around the median to sharpen the middle of the distribution.

## `includeIndividualDeals` (type: `boolean`):

Return each matching listing with its placement (charged per deal).

## `convertToUsd` (type: `boolean`):

Add USD figures alongside the local currency.

## Actor input object example

```json
{
  "models": [
    "bmw/3er"
  ],
  "country": "de",
  "dealThresholdPct": 80,
  "maxCandidates": 40,
  "maxPopulationSpread": "4.0",
  "implausibleBelowPct": "5.0",
  "ladderSteps": 9,
  "refineSteps": 3,
  "includeIndividualDeals": true,
  "convertToUsd": true
}
```

# Actor output Schema

## `dealSummaries` (type: `string`):

One row per make/model: how many cars are in the whole stock, their middle asking price and range, whether the stock was usable for judging, the deal line, how many of the cheapest cars checked fall under it, and the best deal.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "models": [
        "bmw/3er"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jpmarketdata/autoscout24-underpriced-deals").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "models": ["bmw/3er"] }

# Run the Actor and wait for it to finish
run = client.actor("jpmarketdata/autoscout24-underpriced-deals").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "models": [
    "bmw/3er"
  ]
}' |
apify call jpmarketdata/autoscout24-underpriced-deals --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jpmarketdata/autoscout24-underpriced-deals"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/8UR7SYG81sEP6vaXX/builds/HR9hkIgtnU7sJCHtk/openapi.json