Digitec Scraper

Scrape product data from Digitec.ch, Switzerland's largest online electronics retailer. Part of the Digitec Galaxus Group.

How to scrape Digitec data

1. Go to Apify Console and create a new task with this actor
2. Enter a search query (e.g., "laptop", "iphone 16", "gaming mouse")
3. Set max results to control how many products to return
4. Click Start and wait for results

Input Parameters

Parameter	Type	Default	Description
searchQuery	string	laptop	Product to search for (ignored when categoryUrls is set)
categoryUrls	array	[]	digitec.ch listing URLs (category, producttype, or brand pages) to scrape instead of a search
maxResults	integer	100	Maximum products to return. Hard cap: 960 per run
proxyConfiguration	object	—	Legacy setting, ignored. Unblocking is handled by a managed scraping browser

Output Format

Each product includes:

{
    "name": "MacBook Air (13.60\", M4, 16 GB, 256 GB, CH)",
    "brand": "Apple",
    "price": 879,
    "currency": "CHF",
    "url": "https://www.digitec.ch/en/s1/product/...",
    "inStock": true,
    "deliveryClassification": "ONE_DAY",
    "rating": 4.9,
    "reviewCount": 342,
    "imageUrl": "https://static01.galaxus.com/productimages/..._720.avif",
    "productId": "56822608",
    "sku": "56822608",
    "category": "Notebook",
    "scrapedAt": "2026-08-24T12:00:00.000Z"
}

inStock is true when digitec reports the product as deliverable, false when it explicitly reports it as unavailable, and null when no availability signal is present. Every price always comes with its currency (CHF).

Use Cases

• Price monitoring for Swiss electronics market
• Competitive analysis for retailers operating in Switzerland
• Market research on consumer electronics trends
• Product catalog building for comparison sites
• Academic research on pricing in high-cost markets

API Usage (JavaScript)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('studio-amba/digitec-scraper').call({
    searchQuery: 'laptop',
    maxResults: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

API Usage (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("studio-amba/digitec-scraper").call(run_input={
    "searchQuery": "laptop",
    "maxResults": 100,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

Why Digitec?

Digitec.ch is the dominant electronics retailer in Switzerland with:

• 10-15 million monthly visitors
• Extensive product catalog (electronics, computing, gaming, home appliances)
• Swiss Franc pricing (CHF) — important for Swiss market analysis
• Same parent company as Galaxus (broader general merchandise)

Anti-bot handling

digitec.ch sits behind Akamai bot protection. This actor routes through a managed scraping browser that clears the protection automatically — you don't need to configure any proxy. The legacy proxyConfiguration input is accepted for old saved tasks but has no effect.

Pricing

You pay per result: $0.005 per Actor start plus $0.002 per product returned. A 100-product run costs about $0.21. Note that a run's usage cost only settles after the run reports SUCCEEDED — reading the dataset mid-run undercounts the final cost, and a failed run does not charge per-result fees.

Frequently Asked Questions

Do I need a login or cookies?

No. This actor scrapes publicly available product data. No login, cookies, or authentication required.

What categories are supported?

All categories available on Digitec.ch: laptops, desktops, smartphones, tablets, gaming, audio, cameras, networking, components, peripherals, home appliances, and more.

What currency are prices in?

All prices are in Swiss Francs (CHF).

Can I scrape category pages directly?

Yes. Pass one or more digitec.ch listing URLs in categoryUrls (e.g. https://www.digitec.ch/en/s1/producttype/notebook-6) and the actor scrapes those listings instead of running a search.

How many products can one run return?

Up to 960 products per run (hard cap). For larger jobs, split the work across multiple category URLs or search queries.