Digitec Galaxus Scraper: Products, Prices & Specs (CH/DE)

Digitec Galaxus Scraper turns the Galaxus Switzerland, Galaxus Germany and Digitec Switzerland storefronts into a clean product data feed. Search by keyword or paste your own product and category links, get local prices, currency, discounts, ratings, availability and promotion info on every row, and switch on a detail read for the full description, specification table, warranty and gallery. Export to JSON, CSV or Excel, or pull the results straight into your app through the API.

Why This Scraper?

• Three storefronts, one actor. Galaxus Switzerland, Galaxus Germany and Digitec Switzerland, each with its own currency, covered by the same run.
• Two ways to collect. Keyword search walks a storefront's catalogue; your own links read exact product pages or walk whole category listings.
• Category-aware search. A keyword the store maps to a whole category is walked as that category, exactly what a shopper browsing the site would see.
• Detail read on demand. Switch on a per-product read for description, summary bullets, full specification table, warranty, gallery images, data sheet link and test report grade, billed only for the products you enrich.
• Filter and sort like the storefront. Price range and six sort orders (relevance, newest, price, rating, availability) are applied by the store itself, in both modes. The one exception is a toplist ranking page (and a brand hub that lists no product type): its rows are the page's own ranking, so the price range is applied to the ranked rows and the order stays the ranking.
• Built for monitoring. Recurring updates return only new and changed products on repeat runs, and a run that could not read anything fails loudly instead of returning an empty dataset.

Use Cases

• Price monitoring and repricing: track prices, discounts and promotions across CH and DE storefronts to react to competitor moves.
• Stock and availability alerts: watch specific products or categories for restocks and availability changes with recurring updates.
• Product research and comparison: pull full specification tables and ratings to compare laptops, phones and other electronics before buying.
• Catalogue and assortment analysis: collect a whole category with sort and price filters to study assortment depth and pricing bands.
• Content and marketplace feeds: feed product data, images and specification tables into your own site, app or price comparison tool.

Data You Get

Sample shape: values are illustrative placeholders, not from a live record.

Field	Example
recordType	"product"
id / productId	"100000001" / 100000001
name	"Sample Product 000000000"
brand	"Sample Brand"
productTypeName / productTypeId	"Notebooks" / 6
url	Galaxus or Digitec link to the product
imageUrl	Product image link
currency / price	"CHF" / 499.00
priceExclVat	461.61
oldPrice / discountPercent	649.50 / 23
ratingAverage / ratingCount	4.3 / 214
availability / stock	availability class such as "FULL" / stock count and status (when reported)
soldCount / canAddToCart	340 / true
labels / promotionType	["DISCOUNT"] / "PROMOTION"
nameFull / category	"Sample Brand Sample Product 000000000" / "Notebooks"
inStock / energyRating	true (null when the list data does not say) / energy class when the store reports one, otherwise null
description / summary	full text and bullet points (detail read only)
keySpecifications / specifications	key facts, then the full spec table, grouped by section (detail read only)
warranty / returnPolicy	"24 Months Warranty (Bring-in)" / return terms (detail read only)
imageUrls / dataSheetUrl	gallery images / manufacturer data sheet link (detail read only)
testReportCount / testReportGrade	3 / 5.4 (detail read only)
market / sourceType / sourceId	"CH" / "search" / "laptop"
scrapedAt	"2026-09-30T08:00:00Z"
changeType / changedFields / firstSeenAt / lastSeenAt	recurring updates only, for example "UPDATED" / ["price"] / first and last seen timestamps

The Output tab offers three views: Results (all columns), Product details (description, specifications, warranty, test reports) and Changes (recurring-update rows). Each run also saves an OUTPUT summary in the key-value store with row counts per record kind and change type, sources read, failed and unsupported, and whether the item cap was reached.

How to Use

1. Pick a mode: keyword search on one storefront, or your own product and category links.
2. Choose a storefront, then add one or more search terms, or paste product or category URLs from that storefront.
3. Turn on Read product detail pages if you need description and specifications, set Max records and Max pages per source, then click Start.
4. Download the dataset as JSON, CSV or Excel, or read it through the API.

Keyword search, cheapest first:

{
  "mode": "search",
  "market": "galaxus-ch",
  "searchTerms": ["laptop"],
  "sortBy": "lowest-price",
  "maxItems": 20
}

Walk a whole category from your own link:

{
  "mode": "urls",
  "urls": ["https://www.galaxus.ch/en/s1/producttype/notebooks-6"],
  "maxItems": 50
}

Links mode: supported link shapes

Each link is read on its own storefront (galaxus.ch, galaxus.de, digitec.ch), whatever the market field says. If you leave the urls field untouched in links mode, the actor scrapes one example of each shape below, so cap the run with maxItems. Search mode never reads the urls field when it holds that untouched example list, and setting only categoryUrl or categorySlug reads just that one category, never the examples.

Link shape	Example	Behaviour
Keyword search	https://www.galaxus.ch/en/search?q=laptop, https://www.galaxus.ch/en/s1/search?q=logitech+mx+master+3s	Walked as a keyword search (any locale, with or without the /s1/ segment, bare domain accepted)
Product type category	https://www.galaxus.ch/en/s1/producttype/notebooks-6	Forward walk of the list
Category on another storefront	https://www.galaxus.de/de/s1/producttype/notebooks-6, https://www.digitec.ch/en/s1/producttype/notebooks-6	Walked on that storefront
Brand, filter or subtype inside a product type	.../producttype/notebooks-6/brand/lenovo-5, .../producttype/notebooks-6/filter/operating-system-windows-35549, .../producttype/notebooks-6/subtype/notebook-type-gaming-laptop-14	Walked with that one brand / attribute filter applied, so the count matches the filtered list the site shows
Tag / area page	https://www.galaxus.ch/en/s1/tag/audio-591	Forward walk
Sector page	https://www.galaxus.ch/en/s1/sector/it-multimedia-1, https://www.galaxus.ch/en/s2/sector/home-kitchen-2	Forward walk of the whole sector
Promotion, sale or second-hand	https://www.galaxus.ch/en/s1/promotion/producttype/notebooks-6, https://www.galaxus.ch/en/s1/sale/producttype/notebooks-6, https://www.galaxus.ch/en/s1/secondhand/producttype/notebooks-6	Forward walk of that offer list only
Promotion / sale overview	https://www.galaxus.ch/en/s1/promotion, https://www.galaxus.ch/en/s1/sale	Forward walk of everything on offer / on sale
Category with parameters	https://www.galaxus.ch/en/s1/producttype/notebooks-6?sorting=PRICE_ASC or ...notebooks-6?pf=price_min_500_max_1000	sortOrder (or sorting), priceFrom / priceTo and the site's pf=price_min_500_max_1000 in the link override the run's sort and price fields for that link
Single product	https://www.galaxus.ch/en/s1/product/<slug>-<id> or .../product/<id>	One product read through the detail data
Toplist ranking	https://www.galaxus.ch/en/s1/producttype/toplist/relevance/notebooks-6	The ranked products the page itself shows (about ten rows per ranking page). Min Price / Max Price are applied to those rows (out-of-range rows are dropped, not delivered); Sort By is not applied, the order is the ranking
Brand hub	https://www.galaxus.ch/en/brand/benq-2	The brand's own products inside each product type the hub lists, walked one after another with the brand filter applied (falls back to the hub's top-rated products when it lists no product type; that fallback keeps its ranking order and has Min Price / Max Price applied to its rows)
Page number in a link	...notebooks-6?page=2	The site itself ignores page= and re-serves the first rows, so the link is the same list as the plain category link and the whole list is walked from the start (use Max Items to bound it)
Any other page (for example a buying guide or blog page)	https://www.galaxus.ch/en/s1/producttype/notebooks-6/buying-guide	Not a product list: skipped with a warning naming the link. If every link is of this kind the run fails with a message naming the link and the supported shapes; it never reports a connection problem

Search with full product detail:

{
  "mode": "search",
  "market": "galaxus-de",
  "searchTerms": ["kaffeemaschine"],
  "fetchDetails": true,
  "maxItems": 10
}

Recurring updates, only what changed:

{
  "mode": "search",
  "market": "digitec-ch",
  "searchTerms": ["smartphone"],
  "incrementalMode": true,
  "emitExpired": true,
  "maxItems": 0
}

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/galaxus-marketplace-scraper").call(run_input={"mode": "search", "market": "galaxus-ch", "searchTerms": ["laptop"], "maxItems": 20})
for product in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(product["name"], product["price"], product["currency"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/galaxus-marketplace-scraper').call({ mode: 'search', market: 'galaxus-ch', searchTerms: ['laptop'], maxItems: 20 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Or connect it to Make, Zapier, n8n, Google Sheets or webhooks from the Integrations tab.

How Max records and Max pages shape a run

Max records is the single limit that stops a run; it defaults to 1000 and accepts up to 1000000; 0 still means collect until the catalogue or your links run out. When a run has several search terms or links, the record cap is split across them so each gets a fair share; a source that is capped before it finishes is marked as not having reached its natural end. Max pages per source is a guardrail on how many reads any one search or category walk may spend, independent of the record cap.

Resume and recurring updates

• Continue a previous run (resumeFromRunId) finishes one interrupted run: paste its run or dataset id and records it already returned are skipped, so a large collection does not pay for the same rows twice.
• Recurring updates (incrementalMode) is for running the same setup again and again, for example daily. Each record is classified NEW, UPDATED (with changedFields), UNCHANGED (suppressed and not billed unless emitUnchanged is on), REAPPEARED or EXPIRED (only after a run that covered its whole setup, and only with emitExpired). stateKey names or shares the stored memory; leave it empty and the memory is keyed on the run setup automatically. With recurring updates off, output is exactly as before.
• What is compared and what is not. Every output column is compared except scrapedAt, position, the source* columns, promotionRemainingDays and soldCount: those change on their own every day, stay in your output, and never decide UPDATED. A change in price, old price, discount, rating, review count, availability, stock, labels, promotion type or detail data makes a record UPDATED, and changedFields names what moved.
• Ignore fields when detecting changes (ignoreFieldsForChanges) adds your own column names to that excluded list (dotted paths such as specifications.value reach into nested lists). Ignored columns stay in the output. Changing this setting keeps your stored memory: records are re-compared under the new list, so nothing is billed again as NEW.
• Change scope (changeScope, default all): priceAndStock compares only price, price excluding VAT, old price, discount, currency, availability, stock and the can-add-to-cart flag, so name, image, label or description changes never create an UPDATED row. Switching it on or off keeps your stored memory and does not bill the catalogue again as NEW.
• Slim updates (compactUpdates, default off): UPDATED rows carry only identifiers, current price and stock and priceChanges (old and new per moved field); EXPIRED rows carry identifiers and the last price and stock; NEW rows stay full. A slim row has no detail data, so it never triggers the per-product detail surcharge.
• Missed scans before EXPIRED (expireAfterMissedScans, default 1): with emitExpired, a record is reported gone only after it was absent from that many complete scans in a row. EXPIRED means "no longer found in the listing"; without a product-page check a listing drop and a delisting look the same, so use the stock fields for availability. A run stopped by Max records, Max pages, a failed source, or a continued run never reports records as gone.
• Changing the ignore list or the change scope under an automatic state key starts a fresh baseline (the first run returns everything as NEW); set a stateKey to keep one baseline.

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape: the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each product, not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify, Settings, Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. If the picker is empty, you have not authorized a connector yet.
3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Input Parameters

Parameter	Type	Default	Description
mode	string	search	search (keyword search) or urls (your own product and category links).
market	string	galaxus-ch	Storefront: galaxus-ch, galaxus-de or digitec-ch. In links mode, set it to the storefront your links are on.
searchTerms	array	["laptop"]	One entry per search; each search is walked forward and all searches share the record cap. Search mode only.
sortBy	string	relevance	Order for each source: relevance, newest, lowest-price, highest-price, rating or availability.
minPrice	integer	(none)	Only return products at or above this price, in the storefront's currency.
maxPrice	integer	(none)	Only return products at or below this price, in the storefront's currency.
includeOutOfStock	boolean	true	Off drops products whose list data says they cannot be bought. Products with unknown stock are kept. Dropped products are still counted as present, so recurring updates never mark them EXPIRED. Turning this off starts its own stored memory when stateKey is empty.
categoryUrl	string	(none)	Read one category without search terms: a category link. Used when no search terms are given.
categorySlug	string	(none)	Same, as a product-type slug such as notebooks-6.
urls	array	one example of each link shape (table below)	Search, category and product links to read. Links mode only.
fetchDetails	boolean	false	Read each product's own page and add description, summary, specifications, warranty, gallery and data sheet. Billed as a per-product surcharge.
maxItems	integer	1000 (prefilled 20)	Stop after this many records across the whole run; maximum 1000000; 0 means no limit. A run that leaves maxItems out is capped at 1000 records.
maxPages	integer	0	Guardrail on reads per source; 0 goes as deep as the source serves.
resumeFromRunId	string	(none)	Continue one interrupted run: paste its run or dataset id.
incrementalMode	boolean	false	Turn on for recurring runs that should return only new and changed records.
stateKey	string	(none)	Name or share a recurring-updates memory. Recurring updates only.
emitUnchanged	boolean	false	Also return (and bill) records that did not change. Recurring updates only.
emitExpired	boolean	false	Also return (and bill) records that are gone. Recurring updates only.
changeScope	string	all	all or priceAndStock. Recurring updates only.
compactUpdates	boolean	false	Slim UPDATED and EXPIRED rows. Recurring updates only.
expireAfterMissedScans	integer	1	Complete scans a record must miss before EXPIRED. Recurring updates only.
ignoreFieldsForChanges	array	(none)	Columns that never make a record UPDATED. Recurring updates only.
mcpConnectors	array	(none)	Optional: send a summary of each record to apps you authorized under Integrations.
notionParentPageUrl	string	(none)	Notion connector only: page under which item pages are created.
maxNotifyListings	integer	50	Cap on items written to each connector per run. Does not affect the dataset.
proxyConfiguration	object	Apify Proxy	Connection used for every request. The default works; you can also bring your own connection links.

Output Example

Sample shape: values are illustrative placeholders, not from a live record.

{
  "recordType": "product",
  "id": "100000001",
  "productId": 100000001,
  "name": "Sample Product 000000000",
  "brand": "Sample Brand",
  "productTypeName": "Notebooks",
  "productTypeId": 6,
  "url": "https://www.galaxus.ch/en/s1/product/sample-product-15-inch-100000001",
  "imageUrl": "https://www.galaxus.ch/productimages/sample",
  "currency": "CHF",
  "price": 499.00,
  "priceExclVat": 461.61,
  "oldPrice": 649.50,
  "discountPercent": 23,
  "ratingAverage": 4.3,
  "ratingCount": 214,
  "availability": "FULL",
  "stock": { "stockCount": 12, "stockStatus": "IN_STOCK", "expectedDelivery": null },
  "soldCount": 340,
  "labels": ["DISCOUNT"],
  "promotionType": "PROMOTION",
  "promotionRemainingDays": 3,
  "canAddToCart": true,
  "market": "CH",
  "marketHost": "www.galaxus.ch",
  "sourceType": "search",
  "sourceId": "laptop",
  "sourceUrl": null,
  "position": 1,
  "scrapedAt": "2026-09-30T08:00:00Z"
}

Plan Requirement

An Apify plan with proxy access is required: the storefront refuses plain non-browser connections, and the actor reads it through your Apify Proxy (or your own proxy URLs). The default Connection & proxy setting is the right starting point. Listing, search and category reads are served on the default Apify Proxy datacenter tier; residential is used only as an automatic escalation when a connection is refused, so the actor continues on a backup connection and logs this notice:

The selected connection is unavailable to this run. Apify free plans do not include residential proxies. Continuing on a backup connection; some pages may still be unavailable.

When a read is served that way the log says "Served over the backup connection (the default connection was unavailable)." If nothing at all could be read, the run fails with one of these messages instead of returning an empty dataset:

• Proxy refused for the account: "The proxy connection was refused for this account, so no page could be read. Your Apify plan does not include proxy access; a paid plan is required." Check your plan, or your own proxy credentials if you entered proxy URLs.
• Residential unavailable: "No results: residential proxies are unavailable on this run (Apify free plans do not include them), and the backup connection could not load the requested Galaxus pages."
• Requests failed: "Could not load any results page (the requests failed), so nothing was collected. This is a connection problem, not an empty search."
• Links that are not product lists: "None of the pasted links could be read as a product list." followed by the link and the supported link shapes. This is an input problem, not a connection problem.

Product pages themselves are not served to plain requests, so product details are read through the storefront's data service rather than the page. Output text (names, categories, URLs) is English whatever locale prefix such as /de/ or /fr/ the link carries; a pasted link selects the storefront and its currency, not the text language, and there is no separate language input.

FAQ

How much does it cost?

You pay a run-start event, a charge per record returned (unchanged records in recurring updates are not billed unless you ask for them), and a per-product detail surcharge only when you switch on the detail read. Reviews are not collected, so there is no review charge. The Pricing tab shows the current rates. Use Max records to cap the cost of any run.

Is it legal to scrape Digitec Galaxus?

This actor collects only publicly visible catalogue pages for your own analysis. You are responsible for how you use it: follow the store's terms and the laws that apply to you, and get legal advice if you plan commercial redistribution. It is an independent tool with no affiliation with the store operator.

Can I get only new or changed products on a schedule?

Yes. Schedule the actor from the Schedules tab and turn on Recurring updates. Each run then returns only new and updated products, and unchanged ones are not billed unless you ask for them.

Why does a search sometimes return a whole category instead of a short list?

When the store itself maps a search term to one of its own categories, the actor follows that redirect and walks the category, which is exactly what a shopper typing the same term would see. This can return more products than a narrow keyword match would suggest.

Why did my run fail instead of returning an empty dataset?

If the store refuses every request, the run stops with a clear message so "no products for this search" is never confused with "nothing could be read". Run it again in a few minutes. If only some searches or links could be read, you still get what was found.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

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