# Kaufland Listing Scraper (`infinite_crow/kaufland-listing-scraper`) Actor

Kaufland listing scraper that collects product titles, prices, ratings, and seller data from Kaufland.de search results, so e-commerce analysts can monitor pricing and track market trends without manual work.

- **URL**: https://apify.com/infinite\_crow/kaufland-listing-scraper.md
- **Developed by:** [Md Firoz Islam](https://apify.com/infinite_crow) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## Kaufland Listing Scraper: Extract Product Data from Kaufland.de

Scrape product listings from Kaufland.de for any search keyword. The scraper collects titles, prices, seller names, ratings, images, and product attributes directly from search results — no account needed, no manual work.

### Use cases

- **Price monitoring**: track product prices across Kaufland.de categories and detect changes over time
- **Product research**: build keyword-based catalogs for market analysis or supplier comparison
- **Competitor analysis**: see which sellers and brands appear for a given search term
- **Inventory tracking**: check product availability and seller counts for specific categories
- **Data aggregation**: feed structured Kaufland product data into spreadsheets, dashboards, or databases

### Input

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `searchKeyword` | string | — | Keyword to search on Kaufland.de (e.g. `Smartphone`, `Laptop`) |
| `scrapeDoToken` | string | — | API token for the rendering service (or set via `SCRAPE_DO_TOKEN` env var) |
| `maxItems` | integer | 25 | Maximum number of products to collect |
| `maxPages` | integer | 10 | Maximum search result pages to scrape (roughly 20-25 products per page) |
| `timeoutSecs` | integer | 600 | Overall actor timeout in seconds |
| `proxyConfiguration` | object | Datacenter (Anywhere) | Proxy type and location for requests |

#### Example input

```json
{
    "searchKeyword": "Smartphone",
    "maxItems": 50,
    "maxPages": 3,
    "proxyConfiguration": { "useApifyProxy": true }
}
```

### What data does this actor extract?

Each product in the dataset contains:

```json
{
    "productId": "532371624",
    "productUrl": "https://www.kaufland.de/product/532371624/",
    "productTitle": "Xiaomi Redmi A5 4G Mobiltelefon 3GB/64 GB Schwarz",
    "price": 92.50,
    "originalPrice": 119.90,
    "currency": "EUR",
    "brand": "Xiaomi",
    "sellerName": "Schnaeppchen-Schuppen",
    "ratingAverage": 4.8,
    "reviewCount": 136,
    "imageUrl": "https://media.cdn.kaufland.de/product-images/400x400/2399f66cfd48b0ed1b5a5a42563d62be.webp",
    "shippingCost": 0.0,
    "deliveryDate": "Lieferung Fr. 13. - Do. 18. Juni",
    "screenSize": "6,88 Zoll",
    "storage": "64 GB",
    "operatingSystem": "Android 15",
    "cameraResolution": "",
    "additionalAttributes": {},
    "searchKeyword": "Smartphone",
    "pageNumber": 1,
    "scrapedAt": "2026-06-10T08:30:00.000000+00:00"
}
```

| Field | Type | Description |
|-------|------|-------------|
| `productId` | string | Kaufland internal product ID |
| `productUrl` | string | Direct link to the product detail page |
| `productTitle` | string | Full product title |
| `price` | number | Current price in EUR |
| `originalPrice` | number | Original RRP when discounted, otherwise null |
| `currency` | string | Always EUR for Kaufland.de |
| `brand` | string | Brand extracted from the manufacturer logo |
| `sellerName` | string | Marketplace seller name |
| `ratingAverage` | number | Average rating from 0 to 5 |
| `reviewCount` | integer | Total number of customer reviews |
| `imageUrl` | string | Main product image (400x400 px) |
| `shippingCost` | number | Shipping cost in EUR; 0 means free shipping |
| `deliveryDate` | string | Estimated delivery range as shown on the listing |
| `screenSize` | string | Screen size when listed as a product attribute |
| `storage` | string | Storage capacity when listed as a product attribute |
| `operatingSystem` | string | OS version when listed as a product attribute |
| `cameraResolution` | string | Camera resolution when listed as a product attribute |
| `additionalAttributes` | object | Any other attributes shown on the tile |
| `searchKeyword` | string | The keyword that produced this result |
| `pageNumber` | integer | Which results page this product was found on |
| `scrapedAt` | string | UTC timestamp of when the record was scraped |

### How it works

1. Takes a search keyword as input
2. Builds Kaufland.de search URLs and paginates through results
3. Renders each page to handle JavaScript-loaded content
4. Parses product tiles to extract structured data
5. Pushes records to the Apify dataset

### FAQ

**How many products does each page contain?**
Roughly 20-25 products per page. With `maxPages: 5` you can collect up to 100-125 products in one run.

**Does it scrape product detail pages?**
This actor focuses on search result listings. It collects all data visible on the listing tiles including price, seller, rating, and key attributes.

**What happens if a product has no rating?**
The `ratingAverage` field will be `null` and `reviewCount` will be `0`.

**Can I export results to Google Sheets or CSV?**
Yes. In the Apify dataset view, use the Export button to download as CSV, JSON, Excel, or HTML. You can also connect directly to Google Sheets via Apify integrations.

**How do I monitor prices over time?**
Schedule the actor to run daily or weekly with the same keyword. Each run produces a new dataset you can compare or feed into a price tracking dashboard.

### Integrations

Connect this actor with other apps using [Apify integrations](https://apify.com/integrations). Pipe results into Google Sheets, Slack, Airtable, or any service that accepts webhooks or JSON. Build automated price monitoring pipelines with Make or Zapier.

# Actor input Schema

## `searchKeywords` (type: `array`):

One or more product keywords to search on Kaufland.de. Enter each keyword on a new line (e.g. Smartphone, Laptop, Kopfhörer).

## `maxResults` (type: `integer`):

Maximum number of products to collect per keyword.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds. Allow at least 60 seconds for JavaScript-rendered pages.

## Actor input object example

```json
{
  "searchKeywords": [
    "Smartphone",
    "Laptop"
  ],
  "maxResults": 25,
  "requestTimeoutSecs": 60
}
```

# 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 = {
    "searchKeywords": [
        "Smartphone"
    ]
};

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

# Prepare the Actor input
run_input = { "searchKeywords": ["Smartphone"] }

# Run the Actor and wait for it to finish
run = client.actor("infinite_crow/kaufland-listing-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 '{
  "searchKeywords": [
    "Smartphone"
  ]
}' |
apify call infinite_crow/kaufland-listing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=infinite_crow/kaufland-listing-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/Es66Ddwd10ojS3f2k/builds/RpjH08cnBx6Jju5Yy/openapi.json