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.

👉 Try Aldi Special Buys Scraper free — 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

{
  "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 — 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

{
    "country": "uk"
}

One theme across every date, cheapest first

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

Two specific dates in Germany

{
    "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

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

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)

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.

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