# Lidl Deals & Grocery Scraper - Weekly Offers, Prices & Deals (`madeingermany/lidl-scraper`) Actor

Extract product data from Lidl.de - prices, discounts, delivery dates, categories, nutrition facts, and detailed product specifications.

- **URL**: https://apify.com/madeingermany/lidl-scraper.md
- **Developed by:** [Made In Germany](https://apify.com/madeingermany) (community)
- **Categories:** E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.30 / 1,000 lidl product records

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

## 🛒 Lidl Deals & Grocery Scraper - Weekly Offers, Prices & Deals

Extract weekly supermarket deals, grocery prices, discounts, and product specifications from **Lidl** ([lidl.de](https://www.lidl.de)).

Ideal for grocery price comparison platforms, inflation tracking, retail competitive intelligence, and consumer deal alert apps.

***

### 🌟 Key Features & Extracted Data

| Field | Type | Description | Example |
| :--- | :--- | :--- | :--- |
| `productId` | String | Unique Lidl SKU / Item identifier | `"lidl-100348912"` |
| `title` | String | Official product title and brand | `"Bellarom Bio Espresso Ganze Kaffeebohnen"` |
| `url` | String | Direct canonical product page URL | `"https://www.lidl.de/p/.../p100348912"` |
| `price` | Number | Current retail price in Euros | `9.99` |
| `currency` | String | Currency code | `"EUR"` |
| `brand` | String | Manufacturer or private label brand | `"Bellarom"` |
| `category` | String | Grocery aisle / product taxonomy | `"Kaffee & Tee"` |
| `discountPercentage` | Number | Discount percentage if on sale | `20` |
| `scrapedAt` | String | ISO 8601 extraction timestamp | `"2026-10-15T12:00:00.000Z"` |

***

### 💼 High-Value Commercial Use Cases

1. **Retail Price Benchmarking**: Monitor grocery and consumer goods pricing against rivals like Aldi, Rewe, and Edeka.
2. **Weekly Deals & Discount Trackers**: Build apps and newsletters that alert shoppers to weekly promotional deals ("Billiger Montag", "Super-Samstag").
3. **Inflation & Economic Research**: Collect FMCG price indices across European supermarket staples over time.
4. **Food & Beverage Market Analysis**: Track private-label product expansions and brand pricing shifts.

***

### ⚙️ Input Parameters

| Parameter | Type | Required | Default | Description |
| :--- | :---: | :---: | :---: | :--- |
| `startUrls` | Array | No | `["https://www.lidl.de/c/billiger-montag/a10008581"]` | Category, campaign, or search result URLs on Lidl. |
| `maxItems` | Integer | No | `50` | Maximum number of products to scrape. |
| `proxy` | Object | No | `{ "useApifyProxy": true }` | Proxy configuration for unblocked scraping. |

***

### 📊 Sample Output (JSON)

```json
{
  "productId": "lidl-100348912",
  "title": "Bellarom Bio Espresso Ganze Kaffeebohnen",
  "url": "https://www.lidl.de/p/bellarom-bio-espresso/p100348912",
  "price": 9.99,
  "currency": "EUR",
  "brand": "Bellarom",
  "category": "Kaffee & Tee",
  "discountPercentage": 15,
  "scrapedAt": "2026-10-15T12:00:00.000Z"
}
```

***

### ❓ Frequently Asked Questions (FAQ)

#### Can I scrape different country domains (e.g. Lidl UK, Lidl France)?

Yes, simply pass the category or search URL from the target regional Lidl store in the `startUrls` input array.

#### How often are prices updated on Lidl?

Lidl updates weekly promotional offers on Mondays and Thursdays. Running this scraper on a schedule ensures your database stays 100% current.

# Actor input Schema

## `startUrls` (type: `array`):

Lidl category or promotion URLs.

## `keywords` (type: `string`):

Product search query.

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

Maximum products to extract.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.lidl.de/c/billiger-montag/a10008581"
    }
  ],
  "keywords": "kaffee",
  "maxItems": 20
}
```

# Actor output Schema

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

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("madeingermany/lidl-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("madeingermany/lidl-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 '{}' |
apify call madeingermany/lidl-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,madeingermany/lidl-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/YdSWKAVxVgfkV2Y0W/builds/7KaGvZ9xgBinNVCzQ/openapi.json