# kaufDA Scraper — German Prospekte, Offers & Prices (`hipersoft/kaufda-scraper`) Actor

Scrape every current offer from German retail Prospekte on kaufDA by city: product, price, regular and RRP price, unit price, app/coupon conditions, category, retailer (Lidl, Aldi, EDEKA, REWE, Kaufland, dm…), validity, brochure page and image. Export CSV/JSON.

- **URL**: https://apify.com/hipersoft/kaufda-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0005 / offer / brochure

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## kaufDA Scraper: German Prospekte, Supermarket Offers and Prices

**kaufDA Scraper** extracts every current offer from the weekly **Prospekte** (retail brochures and flyers) on **kaufDA.de**, Germany's leading platform for **supermarket, discounter, drugstore and electronics offers**. For any **German city** you get each offer's **product name, description, offer price, regular price, recommended retail price (UVP), unit price (Grundpreis), app or coupon conditions (Lidl Plus, APP-PREIS…), category path, product image, retailer, validity dates and the brochure and page it appears on**. Filter by **retailer** (Lidl, Aldi Nord, Aldi Süd, EDEKA, REWE, Kaufland, Netto, Penny, Norma, dm, Rossmann, MediaMarkt, Saturn, IKEA, Tchibo…) and **product keyword**, or list the **brochures** themselves. Export to **CSV, Excel or JSON**. Ideal for **price monitoring, retail and FMCG competitive intelligence, promotion tracking, deal sites, price comparison apps and grocery market research**.

### What does kaufDA Scraper do?

- 🛒 **Every offer in every current Prospekt** for a city, not just the highlights.
- 🇩🇪 **Any German city**: Berlin, Hamburg, München, Köln, Frankfurt… or coordinates.
- 🏪 **Retailer filter**: supermarkets, discounters, drugstores, DIY, electronics, furniture.
- 🔎 **Keyword filter**: Kaffee, Bier, Butter, Waschmittel, Fernseher…
- 💶 **Offer price, regular price, UVP and unit price**.
- 📱 **Conditions**: app-only prices, loyalty-card prices, coupons.
- 🗂️ **Category path** for every product.
- 📅 **Validity dates** and **brochure page** link.
- 📰 **Brochure mode**: list all current Prospekte with retailer and validity.

### What data can you scrape from kaufDA?

| Field | Description |
|---|---|
| Product | Offer ID, title, description, extra products in bundles, image |
| Prices | Offer price, price range, regular price, UVP, unit price, currency |
| Conditions | App price, loyalty card, coupon conditions |
| Category | Category and full category path |
| Retailer | Retailer name and ID, retailer product link (when given) |
| Validity | Valid from, valid until |
| Brochure | Brochure ID, title, page number, viewer link |
| Location | City |

### Use cases for German retail offer data

- **Price monitoring**: track weekly promotional prices of products and brands across retailers.
- **FMCG and brand teams**: see which retailers promote your products (and competitors') and at what price.
- **Retail competitive intelligence**: compare Lidl, Aldi, EDEKA, REWE and Kaufland promotions week by week.
- **Deal and coupon sites**: power deal feeds and price alerts.
- **Market research**: analyse promotion depth (offer vs. regular price), categories and regional differences.

### How to scrape kaufDA offers

1. Click **Try for free** to open kaufDA Scraper in Apify Console.
2. Enter one or more **cities**.
3. Optionally add **retailers** and **product keywords**.
4. Keep **Offers inside brochures** on for one row per product, or turn it off for one row per brochure.
5. Click **Start** and download the offers as **CSV, Excel or JSON**.

### Input

#### Example input

```json
{
  "cities": ["Berlin", "München"],
  "retailers": ["Lidl", "EDEKA", "REWE"],
  "keywords": ["Kaffee"],
  "includeOffers": true,
  "maxItems": 1000
}
```

| Field | Description |
|---|---|
| **Cities** | German city names or "lat,lng" coordinates. |
| **Retailers** | Keep only these retailers (empty = all). |
| **Product keywords** | Keep only offers mentioning these words (empty = all). |
| **Offers inside brochures** | One row per offer (on) or per brochure (off). |
| **Max brochures per city** | Limit brochures per city (0 = all). |
| **Max results** | Stop after this many rows (0 = no limit). |

### Output

#### Offer example

```json
{
  "type": "offer",
  "offerId": "969132b6-16f0-4452-b975-f502225df2ef",
  "title": "Monster",
  "description": "Energy Drink, Taurin- und koffeinhaltig. 0,5 l zzgl. 0.25 Pfand",
  "price": 0.75,
  "regularPrice": 1.59,
  "recommendedRetailPrice": null,
  "priceConditions": ["Mit Lidl Plus"],
  "pricePerUnit": "1 l = 1.50",
  "currency": "EUR",
  "category": "Monster Energy",
  "categories": ["Lebensmittel und Getränke", "Produkte", "Getränke", "Softdrinks", "Softdrinkmarken", "Monster Energy"],
  "imageUrl": "https://content-media.bonial.biz/969132b6-…/main.jpg",
  "retailer": "Lidl",
  "retailerId": "DE-1013",
  "validFrom": "2026-10-11T22:00:00Z",
  "validUntil": "2026-10-17T21:59:59Z",
  "brochureTitle": "LIDL LOHNT SICH",
  "brochurePage": 1,
  "url": "https://www.kaufda.de/contentViewer/static/e1f377ac-…?page=1",
  "city": "Berlin"
}
```

#### Output schema

| Field | Type | Description |
|---|---|---|
| `type` | string | `offer` or `brochure`. |
| `offerId`, `title`, `description`, `products`, `imageUrl` | mixed | Product. |
| `price`, `priceMax`, `regularPrice`, `recommendedRetailPrice`, `pricePerUnit`, `currency` | mixed | Prices. |
| `priceConditions` | array | App, card or coupon conditions. |
| `category`, `categories` | mixed | Category. |
| `retailer`, `retailerId`, `productUrl` | string | Retailer. |
| `validFrom`, `validUntil` | string | Validity. |
| `brochureId`, `brochureTitle`, `brochurePage`, `url` | mixed | Brochure. |
| `city`, `scrapedAt` | string | Source info. |

Brochure rows add `brochureType`, `retailerType` and `badges`.

### How much does it cost?

kaufDA Scraper uses **pay-per-result** pricing: a small fixed price per offer or brochure, with automatic discounts on higher Apify plans. See the **Pricing** tab for the exact price. Use the retailer and keyword filters to pay only for what you need.

### More retail and price data

- [Trusted Shops Scraper](https://apify.com/hipersoft/trustedshops-scraper): German shop reviews and ratings.
- [allevents Scraper](https://apify.com/hipersoft/allevents-scraper): local events by city.

### FAQ

**Why do offers differ between cities?**
Many retailers publish regional Prospekte, so each city sees its own set of brochures and prices. Add several cities to compare.

**How often are offers updated?**
Most Prospekte change weekly. Schedule the scraper (for example every Sunday or Monday) to build a price history.

**What is `priceConditions`?**
Conditions attached to a price, such as "Mit Lidl Plus", "APP-PREIS" or "Mit 10% Coupon".

**What formats can I export?**
CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

**Can I integrate kaufDA Scraper with other apps?**
kaufDA Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JS/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

**Is it legal to scrape kaufDA?**
The scraper only collects publicly visible offer information. You are responsible for using the data in line with kaufDA's terms and applicable law.

### Related Actors

- [Trusted Shops Scraper](https://apify.com/hipersoft/trustedshops-scraper)
- [allevents Scraper](https://apify.com/hipersoft/allevents-scraper)

### Notes

Original clean-room implementation. Returns only public data. Not affiliated with kaufDA or Bonial.

# Actor input Schema

## `cities` (type: `array`):

German cities, e.g. Berlin, Hamburg, München, Köln. Offers differ by region. You can also enter coordinates as "lat,lng".

## `retailers` (type: `array`):

Optional: keep only these retailers, e.g. Lidl, Aldi Süd, EDEKA, REWE, Kaufland, Netto, Penny, dm, Rossmann, MediaMarkt. Leave empty for all.

## `keywords` (type: `array`):

Optional: keep only offers mentioning these words, e.g. Kaffee, Bier, Butter, Fernseher. Leave empty for all offers.

## `includeOffers` (type: `boolean`):

On: one row per offer (product and price). Off: one row per brochure (Prospekt) only.

## `maxBrochuresPerCity` (type: `integer`):

Limit brochures per city (0 = all current brochures).

## `maxItems` (type: `integer`):

Stop after this many offers/brochures in total (0 = no limit).

## `proxyConfiguration` (type: `object`):

Not needed in most cases.

## Actor input object example

```json
{
  "cities": [
    "Berlin"
  ],
  "retailers": [
    "Lidl"
  ],
  "includeOffers": true,
  "maxBrochuresPerCity": 0,
  "maxItems": 1000,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# 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 = {
    "cities": [
        "Berlin"
    ],
    "retailers": [
        "Lidl"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/kaufda-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 = {
    "cities": ["Berlin"],
    "retailers": ["Lidl"],
}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/kaufda-scraper").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 '{
  "cities": [
    "Berlin"
  ],
  "retailers": [
    "Lidl"
  ]
}' |
apify call hipersoft/kaufda-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/kaufda-scraper"
        }
    }
}
```

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/GkghTuwctlXZwJfHh/builds/cCfFmaiR2Xandxozf/openapi.json