Aldi Scraper (Pay Per Result)
by 123webdata
Scrape Aldi product data for market analysis, inventory tracking, or AI datasets. Pay only $0.005 per result, with 10 free results to start.
Opens on Apify.com
About Aldi Scraper (Pay Per Result)
Need to track Aldi's product lineup and pricing without the manual hassle? I built this scraper specifically for that. It pulls clean, structured data from their category and product pages—things like product names, current prices, and descriptions. I use it myself to keep an eye on inventory changes and competitor pricing. The real value is in the data you get out. It's perfect for building accurate market analysis reports, monitoring stock levels for retail intelligence, or creating high-quality datasets for AI and machine learning projects. Because the data is delivered in a consistent format, it saves you hours of cleaning and normalization. We charge a straightforward $0.005 per product result scraped, so you only pay for what you actually extract. To let you test the data quality and structure, the free trial delivers your first 10 results at no cost. It’s a simple, no-fuss way to get the Aldi product data you need.
What does this actor do?
Aldi Scraper (Pay Per Result) is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Aldi Scraper (Pay Per Result)
Scrapes product data from Aldi websites, including aldi.us and other international domains.
Overview
This actor extracts structured product information from Aldi's online stores. It can scrape from individual product pages or entire category listings, handling pagination automatically. The output is formatted JSON suitable for data analysis, price monitoring, or inventory tracking.
Key Features
- Multi-domain support: Works with Aldi's country-specific sites (e.g.,
.us,.co.uk,.de). - Flexible scraping sources: Accepts both direct product URLs and category page URLs.
- Pagination handling: Optionally follows "next page" links on category pages to scrape entire catalogs.
- Detailed data extraction: Captures product name, price, SKU, brand, description, images, stock status, and category breadcrumbs.
- Output formats: Provides a simplified table overview and full structured JSON datasets.
How to Use
Configure the actor run with the input parameters below. You can provide either productUrls, categoryUrls, or both.
Input
The actor accepts these parameters:
| Field | Type | Description |
|---|---|---|
productUrls |
Array | A list of specific Aldi product page URLs to scrape. |
categoryUrls |
Array | A list of Aldi category or search result page URLs to scrape. |
maxResultsPerScrape |
Integer | Limit the total number of products scraped per run (default: 1000). |
usePagination |
Boolean | When scraping categories, follow pagination links to get all products (default: true). |
Output
The primary output is a dataset of items in JSON format. Each item contains detailed product fields.
Example Output Item:
{
"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",
"brand": "Parkview",
"breadcrumbs": ["Home", "BBQ & Picnic", "Grilled Meat & Seafood"],
"main_image": "https://dm.cms.aldi.cx/is/image/.../Uncured%20Beef%20Franks%2015%20oz",
"description": "Parkview Beef Franks are packed with flavor...",
"size": "15 oz"
}
The dataset also includes a preview in a tabular overview format for quick checking.
Issues and Support
For bug reports or feature requests, open an issue on the actor page or contact hello@123webdata.com.
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Aldi Scraper (Pay Per Result) now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- 123webdata
- Pricing
- Paid
- Total Runs
- 164
- Active Users
- 13
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