# Lidl Scraper | Online Shop & Store Offers, 30 Countries (`ratatoskr/lidl-scraper`) Actor

Scrape Lidl's online shop in 30 countries as clean JSON: home, garden, DIY, fashion, toys, electronics, wine and spirits where sold online, and the weekly store offers with their dates, price, Lidl Plus price, unit price and image. No login.

- **URL**: https://apify.com/ratatoskr/lidl-scraper.md
- **Developed by:** [ratatoskr](https://apify.com/ratatoskr) (community)
- **Categories:** E-commerce
- **Features:** Limited permissions
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.60 / 1,000 products

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

## Lidl Scraper | Online Shop & Store Offers, 30 Countries

Scrape **Lidl's online shop and its store offers** as clean structured JSON, in 30 countries: Germany, France, Belgium, the Netherlands, Spain, Poland, the UK and 23 more. Set a high limit and one run reads everything Lidl prices online for that country: home and garden, DIY, kitchen, fashion, toys and electronics, wine and spirits where Lidl sells them online, and the store offers it publishes ahead of each week, with their dates. Or pass search terms to pull just those products. Every row carries the name, brand, price, Lidl Plus price, offer dates, unit price, category and image, in the country's own currency.

A full run on Germany returns about 14,000 products, with no login and no proxy to set up: about 3,300 in fashion, 2,200 in home, 2,150 in DIY and garden, 1,700 in kitchen, 1,000 wines and 580 spirits. Lidl prices its everyday food range online only while it is on offer, so food comes as dated store offers, a few dozen at a time.

### What you get

One row per product:

| Field | Example |
|-------|---------|
| `country` | DE |
| `name` | Rohwurst |
| `brand` | DULANO |
| `price` | 1.59 |
| `memberPrice` | 1.43 |
| `currency` | EUR |
| `unitPrice` | Je 200 g |
| `priceFrom`, `priceUntil`, `upcoming` | 2026-11-02, 2026-11-07, true |
| `category` | Food |
| `inStock`, `availability` | true, lieferbar |
| `image` | https://www.lidl.de/assets/... |
| `productPage` | https://www.lidl.de/p/dulano-rohwurst/p11685936 |
| `productId` | 11685936 |

### Countries

Austria, Belgium, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and the United Kingdom.

Belgium also comes in Dutch or French, and Switzerland in German, French or Italian.

### Lidl Plus prices

`memberPrice` is the price with a Lidl Plus card, and `price` is the regular price. On an app-only deal Lidl may publish the card price alone, and the two fields then match.

### Store offers, before they start

Lidl publishes its store offers ahead of time, so a run can show prices that have not reached the shelf yet. Each of those rows has `upcoming: true` and its first and last day. A store offer leaves Lidl's site when it ends, so a run reads what is on offer that day.

### Input

| Field | What it does |
|-------|--------------|
| `country` | Lidl country. Selects the site, assortment, language and currency. |
| `language` | Optional. Belgium: `fr` or `nl`. Switzerland: `de`, `fr` or `it`. |
| `searchQueries` | Optional. Only scrape products matching these terms, e.g. `["kaffee", "schokolade"]`. Leave empty for the whole assortment. |
| `maxItems` | Stop after this many products. Leave empty for 100; set higher (e.g. `100000`) for the whole assortment. |
| `includeUnpriced` | Also return products Lidl lists without a price, mostly its permanent in-store range. |
| `proxyCountry` | Optional. Read through a residential IP of this country from the start. Runs choose their connection by themselves, so leave it empty. |

```json
{
  "country": "DE",
  "searchQueries": ["kaffee"],
  "maxItems": 200
}
```

### Output

Each run writes a dataset you can view as a table or export to JSON, CSV or Excel, or pull from the Apify API. One Actor covers every Lidl country, so set `country` and compare prices across markets.

### Change tracking

Give a run a **Watch name** and schedule it: every run after the first returns only the products that changed since
the watch's last run (a new product, a price drop or rise, a promotion that started, ended or changed, a product back in stock or out of stock). The watch compares its price, its Lidl Plus price and store offer, and whether it is in stock. Each changed row carries `changeType` (the most telling
change), `changes` (all of them), `previousPrice`, `priceChange`, `priceChangePercent`, `previousPromotion` and
`previousSeenAt`, and the dataset's "Changes since the last run" view shows them first. The first run returns everything
as the baseline.

The watch remembers each product by country and product, in a key-value store named `lidl-scraper-watch` on your own Apify account, and
saves only when a run ends, so a run that fails part-way leaves the last good state; a product missing from one run
stays remembered. Different watch names keep separate memories, one per store or search for example. Turn off **Only
changes** to get every product, each marked with its change or `unchanged`. You pay for the rows returned: unchanged
products are not output and cost nothing.

### Pricing

Pay per product: about **$0.75 per 1,000 products** on the free tier, less at higher Apify subscription tiers, plus a start fee of **$0.005** a run. A search of 300 products costs about 23 cents.

# Actor input Schema

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

Which Lidl country to read. Selects the site, assortment, language and currency.

## `language` (type: `string`):

Belgium: fr or nl. Switzerland: de, fr or it. Elsewhere leave empty.

## `searchQueries` (type: `array`):

Optional. Only scrape products matching these terms, e.g. \["cafe", "chocolat"]. Leave empty to scrape the whole online assortment.

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

Stop after this many products. Leave empty for 100. Set higher (e.g. 100000) to take everything.

## `includeUnpriced` (type: `boolean`):

Also return products Lidl lists without a price, mostly its permanent in-store range.

## `proxyCountry` (type: `string`):

Optional. Read through a residential IP of this country (ISO code) from the start. Runs choose their connection by themselves, so leave it empty.

## `watchName` (type: `string`):

Give the watch a name and schedule the run: every run after the first returns only what changed since the last one (a promotion that started or ended, a price drop or rise, a changed offer, a new product), each with the previous price and offer. The first run returns everything as the baseline. Different names keep separate memories in a key-value store on your own Apify account. Unchanged products are not output, and you pay only for the rows that are.

## `onlyChanges` (type: `boolean`):

With a watch name: output only products that changed. Off: every one, each marked with its change (or unchanged), charged as a row.

## Actor input object example

```json
{
  "country": "FR",
  "maxItems": 100,
  "includeUnpriced": false,
  "onlyChanges": true
}
```

# Actor output Schema

## `products` (type: `string`):

One row per product: name, brand, price, unit price, category and image.

## `changes` (type: `string`):

With a watch: what changed since the watch's last run, with the previous price and offer.

# 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 = {
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("ratatoskr/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 = { "maxItems": 100 }

# Run the Actor and wait for it to finish
run = client.actor("ratatoskr/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 '{
  "maxItems": 100
}' |
apify call ratatoskr/lidl-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ratatoskr/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/c3kPGsvEojkdj2OlT/builds/dGT96YYYLJwKiyV6n/openapi.json