# Aldi Scraper (Pay Per Result) (`123webdata/aldi-scraper`) Actor
A scraper for Aldi to extract product information and pricing from category and product pages. Great for inventory tracking, market analysis, and AI datasets. Pricing: $0.005/result. 10 results on free trial.
- **URL**: https://apify.com/123webdata/aldi-scraper.md
- **Developed by:** [123 Webdata](https://apify.com/123webdata) (community)
- **Categories:** E-commerce, AI
- **Stats:** 20 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
$5.00 / 1,000 results
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.us Scraper
This actor scrapes product data from [Aldi.us](https://www.aldi.us/) and other international Aldi websites, a global discount supermarket chain.
### Issues and feature requests
If you encounter any issue, or you'd like us to change or add anything, please open an issue in the actor page or write to us directly at hello@123webdata.com
For custom requirements, you can also reach out to us by [filling this form](https://www.123webdata.com/scrape_aldi_us_legacy/#contact).
### Output Example (simplified)
The actor provides a convenient overview mode that displays the most important product information in a tabular format. Here's an example of how the data looks in the overview mode:
| Image | Product URL | Product Name | Current Price | Regular Price | Currency | Description | Scraped At |
|-------|-------|-------|-------|-------|-------|-------|-------|
| 
| https://www.aldi.us/product/parkview-uncured-beef-franks-15-oz-0000000000000081 | Uncured Beef Franks, 15 oz | 4.09 | 0 | USD | Parkview Beef Franks are pa... | 2025-07-21 |
| 
| https://www.aldi.us/product/kirkwood-boneless-skinless-chicken-thighs-0000000000008915 | Boneless Skinless Chicken T... | 6.64 | 0 | USD | Items to be weighed out (e.... | 2025-07-21 |
| 
| https://www.aldi.us/product/salmon-with-mediterranean-herb-0000000000004320 | Salmon with Mediterranean Herb | 11.29 | 11.29 | USD | Take the guesswork out of t... | 2025-07-21 |
### Features
- Scrapes detailed product information from Aldi.us product pages
- Extracts data from both individual product URLs and category pages
- Follows pagination links on category pages (optional)
- Supports various product categories with specific fields like brand, price, and category
- Works with multiple Aldi country domains (.us, .co.uk, .de, etc.)
### Input
The actor accepts the following input parameters:
| Field | Type | Description |
|-------|------|-------------|
| `productUrls` | array | List of Aldi product URLs to scrape |
| `categoryUrls` | array | List of Aldi category URLs to scrape |
| `maxResultsPerScrape` | integer | Maximum number of results to extract (default: 1000) |
| `usePagination` | boolean | Whether to follow pagination links on category pages (default: true) |
### Output Example (full)
The actor outputs data in the following structure:
```json
{
"url": "https://www.aldi.us/product/parkview-uncured-beef-franks-15-oz-0000000000000081",
"name": "Uncured Beef Franks, 15 oz",
"price": 4.09,
"regular_price": 0,
"currency": "USD",
"in_stock": true,
"sku": "0000000000000081",
"mpn": null,
"gtin": null,
"brand": "Parkview",
"breadcrumbs": [
"Home",
"BBQ & Picnic",
"Grilled Meat & Seafood"
],
"main_image": "https://dm.cms.aldi.cx/is/image/prod1amer/product/jpg/scaleWidth/864/997f6e93-8412-4751-8b84-a63495d536ce/Uncured%20%20%20Beef%20%20Franks%2015%20oz",
"images": [
"https://dm.cms.aldi.cx/is/image/prod1amer/product/jpg/scaleWidth/864/997f6e93-8412-4751-8b84-a63495d536ce/Uncured%20%20%20Beef%20%20Franks%2015%20oz"
],
"description": "Parkview Beef Franks are packed with flavor and are perfect for grilling. Enjoy them alone in a tasty bun, topped with mustard or your favorite condiments, or even chopped and mixed into pasta sauces, soups, or stews. These beef franks are fully cooked and will make a great addition to any savory recipe!",
"color": null,
"size": "15 oz",
"weight": "15 ounce",
"material": null,
"style": null,
"features": [],
"attributes": {},
"rating_value": null,
"review_count": null,
"canonical_url": "https://www.aldi.us/product/parkview-uncured-beef-franks-15-oz-0000000000000081",
"scraped_at": "2025-07-21T12:10:33.337Z"
}
```
### Use Cases
- Monitoring grocery product prices across international Aldi stores
- Analyzing product availability and trends
- Tracking price changes over time
- Market research and competitive analysis in the discount grocery sector
### You might also like
- [Our other e-commerce scrapers](https://www.123webdata.com/categories/ecommerce/)
- [Our other grocery store scrapers](https://www.123webdata.com/categories/grocery/)
- [ALDI US Scraper](https://apify.com/123webdata/aldi-us-scraper)
- [Lidl US Scraper](https://apify.com/123webdata/lidl-us-scraper)
- [Carrefour Scraper](https://apify.com/123webdata/carrefour-scraper)
# Actor input Schema
## `productUrls` (type: `array`):
List of Aldi product URLs to scrape from any Aldi country domain.
## `categoryUrls` (type: `array`):
List of Aldi category URLs to scrape. The scraper will extract all product URLs from these pages.
## `maxResultsPerScrape` (type: `integer`):
Maximum number of results to extract. Default is 20.
## `usePagination` (type: `boolean`):
Whether to follow pagination links on category pages.
## Actor input object example
```json
{
"productUrls": [
"https://www.aldi.us/product/parkview-uncured-beef-franks-15-oz-0000000000000081"
],
"categoryUrls": [
"https://www.aldi.us/products/bbq-picnic/k/234"
],
"maxResultsPerScrape": 20,
"usePagination": true
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"productUrls": [
"https://www.aldi.us/product/parkview-uncured-beef-franks-15-oz-0000000000000081"
],
"categoryUrls": [
"https://www.aldi.us/products/bbq-picnic/k/234"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("123webdata/aldi-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"productUrls": ["https://www.aldi.us/product/parkview-uncured-beef-franks-15-oz-0000000000000081"],
"categoryUrls": ["https://www.aldi.us/products/bbq-picnic/k/234"],
}
# Run the Actor and wait for it to finish
run = client.actor("123webdata/aldi-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 '{
"productUrls": [
"https://www.aldi.us/product/parkview-uncured-beef-franks-15-oz-0000000000000081"
],
"categoryUrls": [
"https://www.aldi.us/products/bbq-picnic/k/234"
]
}' |
apify call 123webdata/aldi-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,123webdata/aldi-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 ` 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/p8gJOywb5mTK1s3CC/builds/p3vVJEfePYiUudCSb/openapi.json