# 🚀 Aldi Special Buys · 5,000 Free Products/Month (`omkar-cloud/aldi-special-buys-scraper`) Actor

Aldi Special Buys Scraper gets you every Aldi Special Buys product ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — on-sale dates, themes, prices & images from 7 countries. 💰 $1 per 1,000 products, no start fee. Scrape your first 5,000 products free every month 🚀

- **URL**: https://apify.com/omkar-cloud/aldi-special-buys-scraper.md
- **Developed by:** [Omkar Cloud](https://apify.com/omkar-cloud) (community)
- **Categories:** E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 special buys products

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

## Aldi Special Buys Scraper

Aldi Special Buys Scraper by Omkar Cloud gets you ⚡ fast, 🎯 accurate, 🔍 detailed Aldi Special Buys data.

Every Special Buys product Aldi has announced — the ones in store now and the ones coming next week — with on-sale dates, themes and prices from 7 countries. Track Aldi's weekly deals, alert your users before they hit the shelves, or compare them against other retailers, and successfully complete your project.

**$1 per 1,000 products.** And with Apify's free plan you get $5 of credit every month, so your first **5,000 products each month are free**.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — [4.7 based on 30 reviews on Trustpilot](https://www.trustpilot.com/review/omkar.cloud).

👉 [**Try Aldi Special Buys Scraper free**](https://apify.com/omkar-cloud/aldi-special-buys-scraper) — your first 5,000 products are Free.

### What can I get

- 📅 **Every announced Special Buys date** — on sale now and upcoming, in one run
- 🏷️ **Every theme** — Halloween, DIY, Winter Workwear… or only the themes you pick
- 💰 **Prices** — price, was-price, discount, unit price and currency
- 🌍 **7 countries** — UK, Australia, Ireland, Germany (ALDI SÜD), Switzerland, Hungary and Slovenia (HOFER)

### Why Aldi Special Buys Scraper

Most other Aldi scrapers fail you in one of four ways:

- 🗄️ **Inaccurate, cached, stale data** — last week's deals are useless
- 🧩 **Low-detail data** — a name and a price, never the date or the theme
- 💸 **Pay more to get the same data** — up to $5 per 1,000 products elsewhere
- 🪦 **Works today, breaks next month** — nobody maintains it

Aldi Special Buys Scraper gets you fresh, detailed data, is priced honestly, and actively maintained.

### What data you get

| Data | Fields |
|---|---|
| **Special Buys** | `special_buy_date`, `special_buy_title`, `special_buy_on_sale_date`, `special_buy_is_on_sale`, `theme` |
| **Product** | `id`, `name`, `brand`, `size`, `link`, `image`, `images`, `badges`, `country` |
| **Price** | `price`, `currency`, `was_price`, `discount_percent`, `unit_price`, `unit_price_per`, `deposit`, `deposit_type`, `price_note` |
| **Availability** | `on_sale_date`, `availability_note`, `is_sold_online`, `is_discontinued`, `minimum_age`, `alcohol_percent`, `energy_class` |
| **Category** | `category`, `category_id`, `category_slug`, `category_link`, `category_path`, `categories` |

### Example: An Aldi Special Buys Product

```json
{
  "special_buy_date": "2026-09-24",
  "special_buy_title": "Thu 24th September",
  "special_buy_on_sale_date": "2026-09-24",
  "special_buy_is_on_sale": true,
  "theme": "Car Essentials",
  "id": "000000000000737058",
  "name": "Car Display Screen",
  "brand": "BAUHN",
  "link": "https://www.aldi.co.uk/product/bauhn-car-display-screen-000000000000737058",
  "image": "https://dm.emea.cms.aldi.cx/is/image/aldiprodeu/product/jpg/scaleWidth/1500/e6cb0e73-d50f-4a3e-9a54-d15d6b9d23a8/bauhn-car-display-screen",
  "price": 34.99,
  "currency": "GBP",
  "was_price": null,
  "on_sale_date": "2026-09-24",
  "availability_note": "While Stock Lasts",
  "category": "Motoring and Travel",
  "category_path": "SpecialBuys > Motoring and Travel",
  "images": [
    "https://dm.emea.cms.aldi.cx/is/image/aldiprodeu/product/jpg/scaleWidth/1500/e6cb0e73-d50f-4a3e-9a54-d15d6b9d23a8/bauhn-car-display-screen",
    "https://dm.emea.cms.aldi.cx/is/image/aldiprodeu/product/jpg/scaleWidth/1500/5211d0de-5cd8-40df-913d-95ddc4cce0ec/bauhn-car-display-screen"
  ],
  "country": "uk"
}
```

*Trimmed for readability.* Every row is flat — each value is its own column, so CSV and Excel exports need no clean-up.

### Get Started with 5,000 Free Products

1. [Hit **Try for Free Button**](https://apify.com/omkar-cloud/aldi-special-buys-scraper) — the input is pre-filled to get every Special Buys product announced in the UK.
2. Enjoy your data 😎.

### Input examples

**Every Special Buys product announced in the UK — on sale now and upcoming**

```json
{
    "country": "uk"
}
```

**One theme across every date, cheapest first**

```json
{
    "country": "uk",
    "themes": ["Halloween Fun"],
    "sort": "price_asc"
}
```

**Two specific dates in Germany**

```json
{
    "country": "de",
    "dates": ["2026-10-09", "2026-10-12"],
    "maxResults": 500
}
```

| Input | What it does |
|---|---|
| `country` | `uk` (default), `au`, `ie`, `de`, `ch`, `hu` or `si` |
| `dates` | On-sale dates as YYYY-MM-DD — leave empty for every announced date |
| `themes` | Theme names or slugs, case-insensitive — leave empty for every theme |
| `sort` | `relevance` (default), `price_asc`, `price_desc`, `name_asc`, `name_desc` |
| `maxResults` | Cap per on-sale date (default 200) |

### Pricing

High value, Low price.

| What | Price | What you get |
|---|---|---|
| **Special Buys products** | **$1 per 1,000** | Special Buys date and theme, name, brand, size, price, was-price, discount, unit price, availability note, category, images and link |

No start fee — you pay only for the rows you get. A product listed under several themes of the same date is billed only once.

**Cost examples** (live counts on 6 October 2026)

| Run | Products | Cost |
|---|---|---|
| UK — every announced date (6 dates) | 230 | $0.23 |
| Germany — every announced date (7 dates) | 345 | $0.35 |
| Australia — every announced date (5 dates) | 337 | $0.34 |
| Germany — one date (2026-10-09) | 108 | $0.11 |

Control your spend with **Max Products per Date**: 1,000 products = $1.

💡 Apify's free plan includes $5 of credit every month — **5,000 free products, every month**.

👉 [**Scrape your first 5,000 products free**](https://apify.com/omkar-cloud/aldi-special-buys-scraper)

### Run It from Code

Grab your API token from [Integrations Settings here](https://console.apify.com/settings/integrations) and replace `<YOUR_API_TOKEN>` below.

**Python** (`pip install apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/aldi-special-buys-scraper").call(run_input={
    "country": "uk",
})
for product in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(product["special_buy_date"], product["theme"], product["name"], product["price"])
```

**Node.js** (`npm install apify-client`)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/aldi-special-buys-scraper').call({
    country: 'au',
    themes: ['Gardening'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### FAQs

#### Which Special Buys do I get when I leave the dates empty?

Every date Aldi has announced: the recent ones already in store (`special_buy_is_on_sale` is `true`) and the upcoming ones (`false`). That is usually 5 to 7 dates, about a week back and a week or two ahead.

#### How do I find the dates and themes to filter by?

Run it once with the dates and themes empty — every row carries its `special_buy_date` and `theme`. A date or theme Aldi has not announced is skipped, and the run log lists the ones that exist.

#### Why is `theme` empty on some rows?

Aldi lists a few products under a date without putting them in any theme. They are still scraped, with an empty `theme`.

#### Which countries are supported?

The UK, Australia, Ireland, Germany (ALDI SÜD), Switzerland, Hungary and Slovenia (HOFER). Names, titles and themes come in each shop's own language. Aldi US and the ALDI Nord countries are not covered.

#### Can I run it every week?

Yes. Schedule it in Apify Console → Schedules — twice a week catches every new Special Buys date as soon as Aldi announces it.

#### Can I export to CSV or Excel?

Yes. Every row is flat, so the dataset exports to JSON, CSV, Excel or XML with one column per value.

#### Is this an official Aldi product?

No. Aldi Special Buys Scraper is an independent tool and is not affiliated with or endorsed by ALDI.

### Popular Actors by Omkar Cloud

- [**AliExpress Product Scraper**](https://apify.com/omkar-cloud/aliexpress-product-scraper) — live product details, SKU variants, stock & shipping
- [**Booking Scraper**](https://apify.com/omkar-cloud/booking-scraper) — Booking.com hotels: prices, ratings, rooms & amenities
- [**Etsy Scraper**](https://apify.com/omkar-cloud/etsy-scraper) — Etsy products: prices, discounts, shops & variations
- [**Website Email Contact Scraper**](https://apify.com/omkar-cloud/website-email-contact-scraper) — emails, phones & socials from any website

### 💬 Have Questions? We Have Answers.

[![Message Us on WhatsApp](https://raw.githubusercontent.com/omkarcloud/assets/master/images/whatsapp-us.png)](https://api.whatsapp.com/send?phone=918178804274\&text=I%20need%20help%20with%20using%20the%20Aldi%20Special%20Buys%20Scraper%20Actor.)
[![Ask Us on Email](https://raw.githubusercontent.com/omkarcloud/assets/master/images/ask-on-email.png)](mailto:happy.to.help@omkar.cloud?subject=Help%20with%20Aldi%20Special%20Buys%20Scraper%20Actor\&body=I%20need%20help%20with%20using%20the%20Aldi%20Special%20Buys%20Scraper%20Actor.)
You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

# Actor input Schema

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

Aldi shop whose Special Buys you want. Names, themes and links come in the shop's own language.

## `dates` (type: `array`):

Special Buys on-sale dates to scrape, as YYYY-MM-DD (2026-10-08) — each is scraped separately. Leave empty to scrape every date Aldi has announced: the recent ones already on sale and the upcoming ones. A date Aldi has not announced is skipped, and the run log lists the announced dates.

## `themes` (type: `array`):

Only scrape these themes, by name or slug, case-insensitive (Halloween Fun or halloween-fun). Each theme belongs to one on-sale date; dates without any of your themes are skipped. Leave empty for every theme.

## `sort` (type: `string`):

Order of the products within each date and theme.

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

Maximum number of products to scrape per on-sale date. Use this to control your cost (1,000 products = $1). One date usually holds 15 to 150 products.

## Actor input object example

```json
{
  "country": "uk",
  "dates": [
    "2026-10-08",
    "2026-10-11"
  ],
  "themes": [
    "Halloween Fun"
  ],
  "sort": "relevance",
  "maxResults": 200
}
```

# Actor output Schema

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

Every row with every field.

## `overview` (type: `string`):

Image, product, brand, price, on-sale date, theme and category of every Special Buys product.

# 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 = {
    "country": "uk",
    "maxResults": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("omkar-cloud/aldi-special-buys-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 = {
    "country": "uk",
    "maxResults": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("omkar-cloud/aldi-special-buys-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 '{
  "country": "uk",
  "maxResults": 200
}' |
apify call omkar-cloud/aldi-special-buys-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,omkar-cloud/aldi-special-buys-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/MJ66n1gHFPKVEayoQ/builds/9zRnhM2H3khUiqFvv/openapi.json