# Kleinanzeigen Scraper: Prices, Deals & Market Report (`precious_bathmat/kleinanzeigen-market-report`) Actor

Scrape Kleinanzeigen.de (formerly eBay Kleinanzeigen) ads for any search, town or link: price, VB, place, date, shipping, cars (km, year), flats (m², rooms). Plus a market report: median price, below-market deals, new ads per day. No login.

- **URL**: https://apify.com/precious_bathmat/kleinanzeigen-market-report.md
- **Developed by:** [Mariam Ahmed](https://apify.com/precious_bathmat) (community)
- **Categories:** E-commerce, Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 ads

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Kleinanzeigen Scraper: Prices, Deals & Market Report

Scrape **Kleinanzeigen.de** (formerly eBay Kleinanzeigen), Germany's biggest classifieds site, with no login and no API key, and get a **market report for every search**:

- **Every ad**: title, price, VB (Verhandlungsbasis), free or no price, postcode and place, date posted, shipping possible, Direkt kaufen, private or commercial seller, photos, snippet and link
- **Cars**: mileage and first registration on every ad; **flats and houses**: living space (m²) and rooms
- **Search any way**: search terms, German towns or postcodes with a radius, price range, private or commercial sellers, offers or wanted ads, or **paste any Kleinanzeigen search link** (categories and filters included)
- **Past the 1,250-ad limit**: Kleinanzeigen shows 50 pages per search; this Actor splits large searches by price and reads **thousands of ads**
- **Market report per search**: median price and middle half, **below-market offers**, VB and shipping share, private vs commercial, new ads per day, top places and postcode areas; **cars by registration year and mileage**, **flats by rooms and €/m²**

### What does this Kleinanzeigen scraper do?

```
Kleinanzeigen · "iphone 15" in Germany · 21,163 ads
 Median price 499 € (400 – 550 €) · 62% VB · 72% offer shipping
 94% private sellers · 233 new ads today
 14 below-market offers, e.g. "iPhone 15 – 128 GB" 180 € in Ahaus (-61%)
```

1. Enter **search terms** ("iphone 15", "e-bike", "thermomix") and, optionally, **towns or postcodes** with a radius. Or paste **search links** from kleinanzeigen.de.
2. Pick filters: **price range**, **private or commercial**, **offers or wanted ads**.
3. You get **one row per ad** and **one market report per search**.

```mermaid
flowchart LR
    A[Search terms,<br/>towns, postcodes] --> C[Kleinanzeigen<br/>search]
    B[Search links<br/>cars, flats, any category] --> C
    C --> D[Ads<br/>price, VB, place, date,<br/>km, m², rooms]
    D --> E[Market report<br/>median, deals,<br/>new per day, places]
```

### Who is it for?

- **Resellers and flippers**: the going price of anything, and the offers listed far below it
- **Shops and brands**: what your products sell for second-hand, how many private and commercial sellers compete
- **Car dealers**: used-car prices by registration year, mileage and region
- **Landlords, tenants and property investors**: rent asked by rooms and €/m² in any German city or district
- **Market researchers and analysts**: supply, prices and listing activity across Germany for any product

### What data do you get?

**Ads** (dataset, one row per ad)

| Field | What it tells you |
|---|---|
| `id`, `title`, `snippet`, `url` | The ad |
| `price`, `negotiable`, `free`, `priceText` | Price in euros, VB, Zu verschenken; `price` is empty when the ad has none |
| `postalCode`, `place`, `distanceKm` | Where |
| `postedDate`, `postedTime` | When it was posted (empty for flats and houses, which show no date) |
| `sellerType`, `shopName` | Private or commercial where the page shows it; shop name for commercial sellers |
| `shippingPossible`, `directBuy`, `isWanted`, `isPromoted` | Versand möglich, Direkt kaufen, Gesuch, paid top ad |
| `mileageKm`, `firstRegistration` | Cars |
| `livingSpaceSqm`, `rooms` | Flats and houses |
| `photos`, `tags` | Photo count, badges |
| `vsMedianPercent`, `belowMarket`, `priceLooksWrong`, `comparedWith` | The price against the median of comparable offers in the same search |

**Report** (`REPORTS`, one per search)

| Field | What it tells you |
|---|---|
| `totalAds`, `privateAds`, `commercialAds`, `commercialSharePercent` | Kleinanzeigen's own counts for the search |
| `medianPrice`, `lowPrice25`, `highPrice75`, `averagePrice`, `lowestPrice`, `highestPrice` | Prices of the offers read |
| `belowMarket`, `belowMarketCount`, `lowestPriced` | The best offers |
| `negotiablePercent`, `freePercent`, `noPricePercent`, `shippingPossiblePercent`, `directBuyPercent` | How the market sells |
| `postedToday`, `postedLast7Days`, `newAdsPerDay` | How fast new ads arrive |
| `topPlaces`, `byPostcodeArea`, `topShops` | Where, and which shops |
| `byRegistrationYear`, `medianMileageKm` | Cars |
| `byRooms`, `medianPricePerSqm`, `medianLivingSpaceSqm` | Flats and houses |

### Example: 3 October 2026

Six searches across Germany, 250 newest ads each: **1,500 ads and 6 reports in 86 seconds**.

| Search | Ads on Kleinanzeigen | Median price (middle half) | VB | Shipping | Commercial sellers | Below market |
|---|---|---|---|---|---|---|
| iphone 15 | 21,163 | 499 € (400 – 550 €) | 62% | 72% | 6% | 14 |
| playstation 5 | 33,220 | 240 € (48 – 500 €) | 43% | 68% | 2% | 65 |
| thermomix | 34,089 | 600 € (299 – 850 €) | 51% | 58% | 1% | 29 |
| e-bike | 100,770 | 1,690 € (890 – 2,699 €) | 45% | 39% | 30% | 45 |
| golf 7 | 37,434 | 6,500 € (2,488 – 11,500 €) | 49% | 36% | 45% | 26 |
| sofa | 201,112 | 300 € (150 – 649 €) | 50% | 38% | 12% | 54 |

- **Flats to rent in Berlin** (a pasted category link, 300 ads): median **1,250 €**, **23.87 €/m²**, 57 m²; 71% of the 7,080 ads are from commercial landlords.
- **Golf 7 in the Autos category** (300 ads): median **9,000 €**, 155,397 km, priced by registration year; 47 offers under 75% of their year's median.
- A single search for **"e-bike" read 3,000 ads in 2 minutes 17 seconds**, past the 1,250-ad cap.

### Pricing

**$0.001 per ad** and **$0.02 per search report**.

- 250 ads with a report: **$0.27**
- The run above (1,500 ads, 6 reports): **$1.62**
- 3,000 ads with a report: **$3.02**

Turn off reports to pay for ads only.

### Good to know

- **Search terms match the whole ad**: "iphone 15" also finds cases and chargers. The report leaves far-too-cheap prices (under 30% of the median) out of its statistics and flags them `priceLooksWrong`. For cars or flats, paste a **category link** (e.g. Autos, Mietwohnungen) for clean results.
- **Below market** = under 75% of the median of comparable offers in the same search (cars: same registration year; flats and houses: same number of rooms; anything else: the whole search), with at least 5 of them.
- **More than 1,250 ads**: the newest 1,250 are read first, then the search is split into price bands. Ads with no price (VB only, swaps) only appear in the first 1,250.
- **Dates**: flats and houses show no posting date on search pages, so those reports have no daily counts.
- **Privacy**: private sellers are not named on search pages and are not collected. Shop names of commercial sellers are. Emails and phone numbers typed into titles or snippets are hidden.
- Data comes from **Kleinanzeigen.de's public search pages**. **Not affiliated with Kleinanzeigen or eBay.**

### Input

| Field | Meaning |
|---|---|
| **Search terms** | One search each |
| **Locations** | German towns, cities or postcodes; empty = all of Germany |
| **Radius** | km around each location |
| **Price from / to** | € |
| **Seller** | Anyone, private only, commercial only |
| **Ad type** | Offers (default), wanted ads, or both |
| **Kleinanzeigen search links** | Any search or category link from kleinanzeigen.de |
| **Ads per search** | 1 to 10,000 (default 250) |
| **Reports** | On by default |

### Integrations

Export to JSON, CSV, Excel or Google Sheets, or connect through the Apify API, webhooks, Make, Zapier and n8n. **Schedule it daily** to track prices and catch new deals.

# Actor input Schema

## `queries` (type: `array`):

What to search for, one search each, e.g. "iphone 15", "e-bike", "golf 7", "playstation 5".

## `locations` (type: `array`):

Optional German towns, cities or postcodes, e.g. "Berlin", "München", "50667". Each search term is searched in each. Empty = all of Germany.

## `radiusKm` (type: `string`):

Distance around each location. 0 = the place itself.

## `minPrice` (type: `integer`):

Only ads priced at least this.

## `maxPrice` (type: `integer`):

Only ads priced at most this.

## `sellerType` (type: `string`):

Private or commercial (gewerblich) sellers.

## `adType` (type: `string`):

Offers are what the market report prices.

## `searchUrls` (type: `array`):

Optional: paste search links from kleinanzeigen.de, e.g. a category with its filters (cars, flats to rent). The price filter above applies to them too.

## `maxAdsPerSearch` (type: `integer`):

Most ads to read per search (1 to 10,000). Newest first; past 1,250 the search is split by price.

## `includeReports` (type: `boolean`):

One market report per search: median and middle-half price, below-market offers, VB and shipping share, private vs commercial, new ads per day, top places; cars by registration year and mileage; flats by rooms and €/m².

## Actor input object example

```json
{
  "queries": [
    "iphone 15"
  ],
  "radiusKm": "0",
  "sellerType": "any",
  "adType": "offers",
  "maxAdsPerSearch": 250,
  "includeReports": true
}
```

# Actor output Schema

## `ads` (type: `string`):

One row per ad: title, price, VB, place and postcode, date, shipping, seller type, cars (km, registration), flats (m², rooms), price vs the search median, link.

## `reports` (type: `string`):

Per search: median price, below-market offers, VB and shipping share, private vs commercial, new ads per day, places; cars by year, flats by rooms.

## `reportsCsv` (type: `string`):

One flat row per search.

## `summary` (type: `string`):

Locations found, requests, problems and the limits of the 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "iphone 15"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("precious_bathmat/kleinanzeigen-market-report").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 = { "queries": ["iphone 15"] }

# Run the Actor and wait for it to finish
run = client.actor("precious_bathmat/kleinanzeigen-market-report").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 '{
  "queries": [
    "iphone 15"
  ]
}' |
apify call precious_bathmat/kleinanzeigen-market-report --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,precious_bathmat/kleinanzeigen-market-report"
        }
    }
}
```

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/mt3k8gPRJQQdZBfpQ/builds/nYuhOkHCXoeQbob94/openapi.json