Lidl Product Scraper — Prices, Lidl Plus Member Prices, Discounts & Images from Lidl.nl

Turn the entire Lidl Netherlands (lidl.nl) assortment into clean, structured JSON or CSV: product name, brand, regular price, Lidl Plus member price, offer/discount, pack size, category, image, and the product link — one tidy record per product.

Browse the whole catalog by category, or search by keyword, and get back data ready to drop into a spreadsheet, database, price-comparison site, or app. No login, no account — and you are never billed for failed requests.

Good to know: the default Automatic (datacenter) proxy works fine and keeps costs low — no Dutch proxy required. (If you ever see blocked requests, switch to a Dutch residential proxy.) Lidl uses a single national price list, so one run captures the price every shopper in the Netherlands sees.

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Why this Actor

• Lidl Plus member prices, captured. When a product has a Lidl Plus loyalty price, the Actor surfaces it as the current price, flags the record with isLidlPlusPrice: true, and keeps the regular price in priceBeforeOffer — so you see both the member price and what non-members pay, in one record.
• National pricing in one run. Lidl NL publishes one price list for the whole country — no per-store fan-out, no store IDs. One run = the price everyone sees.
• Offers and discounts, detected for you. Each record carries the current price, the pre-discount priceBeforeOffer, an isOffer flag, and a discountLabel (e.g. -25%) — filter the whole assortment down to this week's deals in one expression.
• The full assortment, or a focused slice. Leave everything default to scrape every leaf category, list specific category IDs, or pass a search keyword.
• Complete product detail. Brand, description as clean text, pack size, category, the product image, and the canonical lidl.nl product URL — one normalized record.
• You never pay for failures. Timeouts, blocks, and removed products are reported in the run summary — not written to your dataset and not billed.
• Fast and lightweight. Runs are quick and compute stays minimal.
• Clean, consistent EUR output. Prices as euro floats, whitespace-normalized text, JSON-safe values throughout.

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Problems this Actor solves

If you are…	Your problem	How this Actor solves it
A price-comparison / deals site	Keeping a grocery price database current by hand is impossible	Schedule a daily run; ingest every product with regular price, Lidl Plus price, and offer as JSON
A market researcher / analyst	Grocery-price and inflation tracking needs structured, repeatable data	Dated, normalized records per product — export straight to pandas, Sheets, or BI
A category manager at another retailer	Benchmarking a competitor's assortment and pricing is slow and partial	Full category-level coverage, including loyalty (Lidl Plus) pricing, in a single run
An app / chatbot / agent developer	You need Lidl catalog data without building and babysitting a scraper	Pay per record on demand; a stable, normalized schema you can rely on
A deal hunter / content creator	Finding the best weekly discounts means clicking through the site	Pull the assortment and filter on isOffer / discountLabel / isLidlPlusPrice

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What data you get

Each available product becomes one dataset record:

Field	Description
id / erpNumber	Lidl's stable article number (the record's unique id)
title	Product name
brand	Brand name, when Lidl flags it as shown (else null)
description	Product description as clean text (short + supplemental, when present)
categoryId / categoryName	Category id and title for the product
price	Current price as a EUR float — the Lidl Plus member price when one exists, otherwise the regular price
currency	Always EUR
priceBeforeOffer	The pre-discount / regular price when the product is on offer or has a member price (else null)
isOffer	true when the product is discounted
isLidlPlusPrice	true when price is a Lidl Plus loyalty price (not the regular shelf price)
discountLabel	e.g. -25% — from the site, or computed from old/new price
unitSize	Pack / sales-unit text where Lidl provides it (e.g. 500 g)
imageUrl	Product image URL
productUrl	Canonical lidl.nl product page
scrapedAt	ISO 8601 timestamp of the run
rawData	Optional: the full raw Lidl product object, when Include raw product payload is on

Example output

{
  "id": "10024896",
  "erpNumber": "10024896",
  "title": "Milbona Griekse Yoghurt 500 g",
  "brand": "Milbona",
  "description": "Romige yoghurt naar Griekse stijl, 500 gram.",
  "categoryId": "h10071018",
  "categoryName": "Zuivel & eieren",
  "price": 0.89,             // Lidl Plus member price (see isLidlPlusPrice)
  "currency": "EUR",
  "priceBeforeOffer": 1.19,  // the regular (non-member) price
  "isOffer": true,
  "isLidlPlusPrice": true,
  "discountLabel": "-25%",
  "unitSize": "500 g",
  "imageUrl": "https://www.lidl.nl/.../milbona-griekse-yoghurt.jpg",
  "productUrl": "https://www.lidl.nl/p/milbona-griekse-yoghurt/p10024896",
  "scrapedAt": "2026-06-18T08:30:00+00:00"
}

Inputs that could not be fetched are not written to the dataset (and never billed). They are listed in the run's SUMMARY record in the key-value store — { "failures": [ { "input": "…", "error": "…" } ] } — and the run's status message tells you at a glance how many products succeeded.

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How to use it (60 seconds)

1. Click Try for free / Start.
2. Choose what to scrape:
   • Everything (default): leave the inputs empty to scrape the full Lidl assortment (all discovered leaf categories).
   • Specific categories: add one category id per line under Category IDs, e.g. h10071012 (or just 10071012).
   • A keyword: type a term like kaas under Search keyword.
3. Leave the Automatic (datacenter) proxy as-is — it works out of the box. (Only if you hit blocked requests, switch to a Dutch residential proxy.)
4. Click Save & Start. Download results as JSON, CSV, Excel, or via API from the Dataset tab; check Key-value store → SUMMARY for run totals and any failed requests.

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Input reference

Field	Type	Default	Description
Category IDs	list	(empty)	One Lidl category id per line (e.g. h10071012, or just 10071012). Empty = scrape all leaf categories (full assortment).
Search keyword	string	–	Scrape products matching a term instead of browsing categories. When set, the category list is ignored.
Include raw product payload	boolean	false	Adds the full raw Lidl product object under rawData. Increases item size.
Proxy configuration	object	Apify Automatic	Automatic (datacenter) proxies work fine and keep costs low. Switch to a Dutch (NL) residential proxy only if you see blocked requests.
Max concurrency	integer	4	Parallel requests (1–20). Kept moderate to be respectful.
Delay between requests	integer	0	Politeness delay in seconds before each request (0–10). ~0.3s is plenty; 0 is fine at moderate concurrency.
Max items	integer	0	Stop after N product records (0 = unlimited).

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Good to know

• Category mode covers the full assortment (or the category IDs you list); search mode returns products matching your keyword. Products are de-duplicated, and when a Lidl Plus member price is present it becomes the headline price (with the regular price preserved in priceBeforeOffer).
• Some categories — notably Lidl's weekly-rotating "Eten & Drinken" food range — are small or temporarily empty; an empty category is normal, not an error.

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Pricing — what a run costs

This Actor uses transparent pay-per-event pricing with a built-in volume discount: a small Actor-start fee, a fixed price per successful product record for the first tier of results in a run, and a cheaper rate for every result beyond the volume threshold. No subscription, no minimums, and failures are never charged. The exact per-result rate is shown on the Actor's Pricing tab.

• Failed requests are free. Timeouts, blocks, and removed products are reported in the summary, never billed.
• Bigger runs cost less per item. The discount tier resets per run, so one large run is cheaper than the same job split into many small ones.
• Try it free: an Apify free account includes $5 of monthly platform credit — enough to try the Actor before paying anything.
• Stay in control: set Max items and Apify's maximum charge per run; the Actor stops gracefully at your cap, keeping everything already scraped.

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Compared to the alternatives

	This Actor	Build your own scraper	Manual checking
Full assortment, normalized	Yes	You maintain it	Impractical
Lidl Plus member prices	Yes	You build it yourself	One product at a time
Offers & discount labels	Yes	You maintain it	One product at a time
Works out of the box	Yes	You build and babysit it	–
Proxy handled for you	Yes (datacenter works)	You source proxies	–
Never billed for failures	Yes	–	–
Export JSON / CSV / Excel / API	Yes, built-in	DIY	Copy-paste
Setup time	~60 seconds	Days; breaks on site changes	Hours per run

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Integrate the data

• Exports: JSON, CSV, Excel, XML from the Dataset tab — or fetch programmatically:

  GET https://api.apify.com/v2/datasets/{datasetId}/items?format=json
  

• Run on a schedule: use Apify Schedules to refresh prices daily or weekly, and webhooks to push finished runs into your pipeline (Sheets, Slack, your backend).
• From code: call the Actor with the Apify API or SDKs (Python / JavaScript) and read the dataset when the run finishes.
• Run summary: every run writes a SUMMARY record (key-value store) with totals, successes, failures, and billing counts — ideal for monitoring automated pipelines.
• Need the category tree itself? The companion Lidl Category Scraper emits one record per Lidl category (main categories and leaf subcategories) — handy for building your own category navigation or driving targeted runs of this Actor.

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FAQ

Do I need a Lidl account or login? No. There is no login or account required.

What is the Lidl Plus price I see in the data? Lidl Plus is Lidl's loyalty programme, and some products carry a members-only price. When one exists, the Actor reports it as the current price and sets isLidlPlusPrice: true, while keeping the regular shelf price in priceBeforeOffer — so you always have both.

Do I need a Dutch proxy? No. The default Automatic (datacenter) proxy works fine — Lidl's API returns the national (NL) assortment and prices regardless of where the request comes from. Only if you ever see blocked requests, switch to a Dutch (NL) residential proxy.

Are prices per store? No — Lidl Netherlands uses a single national price list, so one run reflects the price nationwide.

How do I get only discounted products? Scrape, then filter on isOffer == true (or a non-null discountLabel). To isolate loyalty deals, filter on isLidlPlusPrice == true.

One of the food categories came back empty — is that a bug? No. Lidl's "Eten & Drinken" food range rotates weekly and is often small or temporarily empty. Empty categories are expected and are not reported as failures.

How fresh is the data? Each run fetches live data, so you get exactly what lidl.nl shows at that moment. Schedule the Actor to keep your dataset as fresh as you need.

What formats can I export? JSON, CSV, Excel, XML — from the Console or via the Apify API.

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Related Actors

Pair this with the Lidl Category Scraper. The companion Lidl Category Scraper emits one record per Lidl category — every main category and h-type leaf subcategory, with ids, names, and product counts. Run it first to map the current Lidl category tree, then feed the leaf category IDs back into this Actor's Category IDs input to scrape exactly the branches you want. Category first to navigate, product second to harvest.

Part of a family of Dutch-supermarket product scrapers — same clean schema and pay-per-event billing across every chain, so you can mix and match for full market coverage:

• Albert Heijn Product Scraper — Bonus discounts, national pricing.
• Plus Product Scraper — per-store pricing.
• Dirk van den Broek Product Scraper — store-specific pricing.
• DekaMarkt Product Scraper — store-specific pricing.
• Hoogvliet Product Scraper (pairs with the Hoogvliet Category Scraper).

Same normalized output and the same "never billed for failures" guarantee across the whole family — combine them to benchmark prices across the Dutch market.

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Disclaimer

This Actor is intended for personal and research use. You are responsible for ensuring your use complies with Lidl's terms and applicable law. Please scrape responsibly — keep concurrency moderate and delays reasonable. This project is not affiliated with, endorsed by, or sponsored by Lidl.