Nemlig Scraper - Danish Online Grocery Products & Prices

What does Nemlig Scraper do?

Nemlig Scraper extracts structured product data from nemlig.com — including current shelf price and campaign flags, per-unit comparison pricing, and multi-resolution product images. It supports keyword search and controllable result limits, so you can run the same query consistently over time.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🔍 Keyword search or full catalog — search with query ("mælk", "økologisk", "kaffe"...) or leave it empty to scan the Nemlig catalog.
• 🛒 Category-scoped scraping — use the category dropdown for top-level Nemlig categories, categories for precise category terms, or paste a Nemlig category URL with categoryUrls.
• 💰 Current price + offers — every row carries shelf price, inStock, isOnOffer, offer text, multi-buy price and offer window when available.
• ⚖️ Per-unit comparison pricing — comparePrice, compareUnit and normalComparePrice make pack-size comparisons easier.
• 🔖 Offers-only filter — flip campaignsOnly to emit only products currently on offer.
• 🥗 Ingredients + structured nutrition — get ingredients and nutrition[] rows whenever Nemlig publishes them.
• 🏷️ Structured unit size, brand + labels — unitSize, unitMeasure, brand and labels[] are separate fields.
• 🛒 Basket monitoring — track a shopping list by product ID or URL with optional quantities and basket totals.
• 📦 Compact mode — keep shopping essentials only for dashboards, AI agents and small payloads.
• ♻️ Incremental price tracking — run with incrementalMode and a stateKey to emit only new, updated or expired products.

What data can you extract from nemlig.com?

Each result includes Core product fields (productId, articleId, name, brand, categoryLvl0, categoryLvl1, categoryLvl2, and attributes, and more) and detail fields when enrichment is enabled (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:

• query — Keyword search across the Nemlig catalog (e.g. "mælk", "økologisk", "kaffe"). Searches product names, brands and categories. Leave empty to scan the full catalog. Ignored when Basket product IDs are supplied.
• productIds — Track a specific shopping list by Nemlig product ID or product URL (e.g. ["103368", "701012", "https://www.nemlig.com/minimaelk-0-4-oeko-103368"]). Returns just those products with per-line basket economics. Pair with Quantities to weight each item. (default: [])
• quantities — Optional per-product counts for basket mode. Accepted forms: object map like {"103368": 2, "701012": 6}, or array of pairs like [{"productId": "103368", "qty": 2}]. Default qty=1 per product when omitted. Ignored outside basket mode. (default: {})
• maxResults — Maximum total products (0 = unlimited). (default: 200)
• campaignsOnly — Only emit products currently on offer. (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, units, image) and drop heavy fields (nutrition, ingredients, image variants, category arrays). Smaller rows for AI agents and dashboards. Same row count, same billing. (default: false)
• incrementalMode — Compare against the previous run's state and emit only NEW / UPDATED / EXPIRED products (price changes, new products, delistings). Requires State Key. EXPIRED detection only fires for a basket or a full uncapped catalog scan. (default: false)
• stateKey — Stable id for incremental tracking (e.g. "my-weekly-basket"). Required when Incremental Mode is on so multiple baskets or queries don't share state.
• ...and 21 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 filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "mælk",
  "category": "all",
  "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

{
  "productId": "103368",
  "articleId": "103368",
  "name": "Minimælk 0,4% øko.",
  "brand": "Arla",
  "categoryLvl0": "Mejeri",
  "categoryLvl1": "Mælk og fløde",
  "categoryLvl2": "Minimælk",
  "attributes": {
    "Serie": [
      "ØKO"
    ],
    "Oprindelsesland": [
      "Danmark"
    ]
  },
  "origin": "Danmark",
  "price": 12.95,
  "currency": "DKK",
  "comparePrice": 12.95,
  "compareUnit": "kr./Ltr.",
  "isOnOffer": true,
  "offerDescription": "Discount",
  "inStock": true,
  "unitSize": 1,
  "unitMeasure": "l",
  "imageUrl": "https://www.nemlig.com/scommerce/images/minimaelk-0-4-oeko.jpg?i=yZOaOThd/103368",
  "source": "nemlig.com",
  "portalUrl": "https://www.nemlig.com/minimaelk-0-4-oeko-103368",
  "scrapedAt": "2026-06-30T00:00:00.000Z"
}

Incremental fields

When incremental mode is on, 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.

How to scrape nemlig.com

1. Go to Nemlig 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 nemlig.com for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed products 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 nemlig.com?

Nemlig 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 products 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 nemlig.com?

The number of results depends on the search query and available products on nemlig.com. Use the maxResults parameter to control how many results are returned per run.

Does Nemlig Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed products 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 Nemlig Scraper with other apps?

Yes. Nemlig 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 Nemlig 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 Nemlig 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 nemlig.com?

This actor extracts publicly available data from nemlig.com. 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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Getting started with Apify

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1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

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