Netto Scraper - Danish Grocery Products & Prices

What does Netto Scraper do?

Netto Scraper extracts structured product data from netto.dk — including current shelf price and campaign flags, per-unit comparison pricing, product labels (organic, store-brand, …), and multi-resolution product images. It supports keyword search and controllable result limits, so you can run the same query consistently over time.

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Key features

• 🔍 Keyword search or full catalog — search with query ("mælk", "økologisk", "kaffe", brand names …) across product names, descriptions and category terms. Leave query empty to dump the entire Netto catalog (~4,300 products) in a single run.
• 💰 Current price + Netto+ member offers — every product carries the active shelf price (DKK), an inStock flag, and an isInCurrentLeaflet flag for this week's avis. When a Netto+ membership offer is active you also get memberPrice, memberOriginalPrice, memberSavings, memberDiscountPercent, the offer title, and the offer window (memberOfferFrom / memberOfferTo). isOnOffer flags anything currently discounted.
• ⚖️ Per-unit comparison pricing — comparePrice + compareUnit (kr/kg, kr/ltr, kr/stk) on every product — the same per-unit number consumer law requires on the shelf label — plus normalComparePrice so you can read the regular versus current per-unit rate. Compare value across pack sizes without writing your own normalizer.
• 🔖 Tilbud-only filters — flip campaignsOnly to emit only products on offer this week (in the avis or a Netto+ member offer), or memberOffersOnly for just the Netto+ deals — the SKU set the chain is pushing this week, in a single filter.
• 🥗 Ingredients + structured nutrition — product rows carry the ingredients text and a structured nutrition[] array (name/value pairs — energy, fat, carbohydrate, protein, salt, …) whenever the source publishes them. No regex over marketing prose.
• 🏷️ Structured unit size, brand + labels — unitSize, unitMeasure (g, kg, stk, ltr, …) and brand as separate fields, plus a labels[] array (Økologisk, Svanemærket, Allergi Venlig, …) and ageLimit for age-restricted items. Filter and group without parsing the product name.
• ♻️ Incremental price tracking — run on a schedule with incrementalMode + a stateKey and get back only what changed since last time — NEW products, price/offer UPDATED, and EXPIRED (delisted) SKUs, each with firstSeenAt / lastSeenAt. Pair it with a basket and notifications to be alerted the moment your shopping list changes price.
• 🛒 Basket monitoring — track a specific shopping list by EAN via productIds (+ optional quantities). Each row gets quantity, lineSubtotal, the Netto+ lineMemberTotal and lineSavings, and the run writes a basket-summary (products, units, subtotal, Netto+ saving) — ideal for watching your weekly Netto shop cost over time.
• 🔔 Notifications — push a digest of each run to Telegram, Discord, Slack, WhatsApp, or a generic webhook (n8n / Make / Zapier). Wire your shopping basket to a channel and get the current prices delivered automatically.
• 📦 Compact mode — drop the heavy fields (ingredients, full nutrition table, image variants, member-offer detail, category arrays) and keep shopping essentials: identity, current price, per-unit price, offer flags, member price, unit size + brand, and image. Smaller rows for AI agents, MCP servers, and LLM context windows.

What data can you extract from netto.dk?

Each result includes Core listing fields (ean, articleId, name, productType, brand, subBrand, manufacturer, and categoryLvl0, and more) and detail fields when enrichment is enabled (description and offerDescription). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• productIds — Track a specific shopping list by EAN/barcode (e.g. ["5701115583819", "5712876736208"]). Returns just those products with per-line basket economics (quantity, line subtotal, Netto+ member total and saving). Pair with 🔢 Quantities to weight each item. (default: [])
• quantities — Optional per-product counts for basket mode. Two accepted forms: • Object map: {"5701115583819": 2, "5712876736208": 6} (compact, preferred for the Console editor) • Array of pairs: [{"ean": "5701115583819", "qty": 2}] (useful from Make / n8n / Zapier flows) Drives the basket subtotal and Netto+ saving roll-up. Default qty=1 per product when omitted. Ignored outside basket mode. (default: {})
• query — Keyword search across the Netto catalog (e.g. "mælk", "økologisk", "kaffe"). Searches product names, brands and categories. Leave empty to scan the entire catalog. Ignored when 🛒 Basket EANs are supplied.
• categories — Limit to specific top-level categories (e.g. ["Mejeri & køl", "Frugt & grønt"]). Leave empty for all categories. Accepts a comma-separated string or a JSON array. (default: [])
• maxResults — Maximum total products (0 = unlimited; full catalog ≈ 4,300). (default: 200)
• campaignsOnly — Only emit products currently on offer — in this week's leaflet (avis) or a Netto+ member offer. (default: false)
• memberOffersOnly — Only emit products with an active Netto+ membership offer (cpOffer), with member price and discount %. (default: false)
• inStockOnly — Drop products flagged as out of stock. (default: false)
• compact — Keep only shopping essentials (identity, current price, per-unit price, offer flags, member price, units, image) and drop heavy fields (nutrition, ingredients, image variants, member-offer detail). Smaller rows for AI agents and dashboards. Same row count, same billing. (default: false)
• excludeEmptyFields — Drop null, empty-string and empty-array fields from each record before push. (default: false)
• incrementalMode — Compare against the previous run's state and emit only NEW / UPDATED / EXPIRED products (price changes, new SKUs, delistings). Requires 🔑 State Key. EXPIRED detection only fires for a basket or a full uncapped catalog scan (a keyword search can't tell delisted from out-of-scope). (default: false)
• stateKey — Stable identifier for incremental tracking (e.g. "my-weekly-basket"). Required when Incremental Mode is on so multiple baskets / queries don't share state.
• ...and 13 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "mælk",
  "maxResults": 50
}

Incremental tracking — Only emit products that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "mælk",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "mælk-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "mælk",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured product records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example product record

{
  "ean": "5740301223825",
  "articleId": "10400157-EA",
  "name": "Rejer fra Nordatlanten i lage",
  "description": "Rejer fra Nordatlanten i lage",
  "productType": "Rejer i lage. Indeholder sødemiddel",
  "brand": "Royal Arctic",
  "subBrand": null,
  "manufacturer": null,
  "categoryLvl0": "Mejeri & køl",
  "categoryLvl1": "Pålæg",
  "categoryLvl2": "Fiskepålæg",
  "categoryPath": "Mejeri & køl > Pålæg > Fiskepålæg > Rejer",
  "labels": [
    "Nøglehul"
  ],
  "ageLimit": null,
  "price": 12,
  "inStock": true,
  "offerDescription": "Avisvare",
  "comparePrice": 150,
  "normalComparePrice": 224.38,
  "offerComparePrice": 150,
  "compareUnit": "kg",
  "multiPromoPrice": 12,
  "multiPromoQty": null,
  "isOnOffer": true,
  "isInCurrentLeaflet": true,
  "memberOffer": true,
  "memberPrice": 10,
  "memberOriginalPrice": 17.95,
  "memberSavings": 7.95,
  "memberDiscountPercent": 44,
  "memberOfferQty": 1,
  "memberOfferTitle": "Rejer i lage eller røget laks",
  "memberOfferId": 100823563,
  "memberOfferFrom": "2026-06-06T02:00:00",
  "memberOfferTo": "2026-06-13T01:59:59",
  "unitSize": 80,
  "unitMeasure": "g",
  "ingredients": "Rejer (KREBSDYR), vand, salt, surhedsregulerende midler (E330, E262), konserveringsmidler (E211, E202), stabilisatorer (E415, E410), sødemiddel (E954).",
  "nutrition": [
    {
      "name": "Protein",
      "value": "15 g"
    },
    {
      "name": "Kulhydrater",
      "value": "0 g"
    },
    {
      "name": "Salt",
      "value": "2,3 g"
    },
    {
      "name": "Næringsindhold pr.",
      "value": "100 g"
    },
    {
      "name": "- heraf sukkerarter",
      "value": "0 g"
    },
    {
      "name": "Energi",
      "value": "292 kJ"
    },
    {
      "name": "Fedt",
      "value": "1,0 g"
    },
    {
      "name": "Energi",
      "value": "69 kcal"
    },
    {
      "name": "- heraf mættede fedtsyrer",
      "value": "0,2 g"
    }
  ],
  "imageUrl": "https://digitalassets.sallinggroup.com/image/upload/e_trim:2/b_white,c_pad,e_sharpen:80,f_auto,q_auto,w_690,h_690/cbd80fa1ce649ddf27f96dfe2aa87bb0",
  "images": [
    "https://digitalassets.sallinggroup.com/image/upload/e_trim:2/b_white,c_pad,e_sharpen:80,f_auto,q_auto,w_690,h_690/cbd80fa1ce649ddf27f96dfe2aa87bb0"
  ],
  "currency": "DKK",
  "storeId": "7701",
  "source": "netto.dk",
  "portalUrl": null,
  "scrapedAt": "2026-06-08T18:58:17.975Z",
  "changeType": "NEW",
  "firstSeenAt": "2026-06-08T18:58:17.978Z",
  "lastSeenAt": "2026-06-08T18:58:17.978Z",
  "expiredAt": null,
  "quantity": null,
  "lineSubtotal": null,
  "lineMemberTotal": null,
  "lineSavings": null,
  "lineTotal": null
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.

How to scrape netto.dk

1. Go to Netto Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract product data from netto.dk for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape netto.dk?

Netto Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per product record

Example costs:

• 10 results: $0.03
• 25 results: $0.06
• 100 results: $0.21
• 200 results: $0.41
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.51	$0.04	$0.47 (93%)	$1.05
15% — moderate broad query	$0.51	$0.08	$0.43 (83%)	$2.55
30% — high-volume aggregator	$0.51	$0.16	$0.35 (69%)	$4.80

Full re-scrape monthly cost at daily polling: $15.30. First month with incremental costs $1.53 / $2.97 / $5.15 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from netto.dk?

The number of results depends on the search query and available listings on netto.dk. Use the maxResults parameter to control how many results are returned per run.

Does Netto Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Netto Scraper with other apps?

Yes. Netto Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Netto Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Netto Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape netto.dk?

This actor extracts publicly available data from netto.dk. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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