Dirk van den Broek Product Scraper — Prices, Discounts, Unit Prices & Images from Dirk.nl

Turn the entire Dirk van den Broek (dirk.nl) assortment into clean, structured JSON or CSV: product name, brand, current price, offer/discount, per-unit price (€/kg, €/l), pack size, category, image, and the product link — one tidy record per product.

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

Good to know — prices are per store. Dirk's prices are store-specific, so every run targets one store via a Store ID (default 9 = Katwijk). Change the Store ID in the input to get the prices a different Dirk location shows. One run = one store's price list.

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Why this Actor

• Real store-level pricing. Dirk publishes prices per location, and this Actor targets exactly the store you choose. Pick the store nearest your use case and get the prices its shoppers actually see — not a generic list.
• Offers and discounts, detected for you. Each record carries the current price, the pre-discount priceBeforeOffer, the normalPrice, an isOffer flag, a discountLabel (e.g. 25% korting), and the offer's startDate / endDate — filter the whole assortment down to this week's deals in one expression.
• Per-unit prices for real comparison. pricePerUnit + pricePerUnitType (per kg, l, or piece) are parsed from Dirk's pack-size text, so you can compare value across pack sizes — and against other supermarkets.
• The full assortment, or a focused slice. Leave the category filter empty to scrape every category for your store, or pass specific category IDs.
• Complete product detail. Brand, pack size, department + category, the product image, max purchase amount, weight-product flag, and the canonical dirk.nl product URL — one normalized record.
• You never pay for failures. Timeouts, removed products, and price-less rows are reported in the run summary — not written to your dataset and not billed.
• Fast and browserless. No headless browser, so 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 price, offer, and unit price 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 with price and unit price for a chosen store in one run
An app / chatbot / agent developer	You need Dirk 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

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What data you get

Each available product becomes one dataset record:

Field	Description
id / productId	Dirk's stable product ID (the record's unique id; deduped on this)
title	Product name (Dirk's header + sub-text, combined)
brand	Brand name, when present (null otherwise)
description	Reserved; currently null (no long description is available)
categoryId / categoryName	The category ID and its name
department / webgroup	Dirk's department and category labels
price	Current price as a EUR float (offer price when on offer, else normal price)
currency	Always EUR
normalPrice	The regular (non-offer) price as a EUR float
priceBeforeOffer	The pre-discount price when on offer (else null)
isOffer	true when the product is discounted
discountLabel	e.g. 25% korting — computed from old/new price
startDate / endDate	The offer's validity window, when on offer
unitSize	Pack / sales unit text (e.g. 500 g, 1 l, 6 stuks)
pricePerUnit / pricePerUnitType	Per-unit price and its unit (kg, l, piece)
isWeightProduct	true for weight-priced items (e.g. loose produce)
maxAmount	Max purchasable quantity, when set
storeId	The store the prices came from (e.g. 9 = Katwijk)
imageUrl	Product image (absolute URL)
productUrl	Canonical dirk.nl product page
source	Constant tag identifying the producing Actor
scrapedAt	ISO 8601 timestamp of the run
rawData	Optional: the full raw Dirk product object, when Include raw data is on

Example output

{
  "id": "12345",
  "productId": 12345,
  "title": "Verse halfvolle melk 1 l",
  "brand": "Dirk",
  "description": null,
  "categoryId": "1",
  "categoryName": "Zuivel",
  "department": "Zuivel, eieren",
  "webgroup": "Zuivel",
  "price": 0.95,
  "currency": "EUR",
  "normalPrice": 1.19,
  "priceBeforeOffer": 1.19,   // present because this product is on offer
  "isOffer": true,
  "discountLabel": "20% korting",
  "startDate": "2026-06-16",
  "endDate": "2026-06-22",
  "unitSize": "1 l",
  "pricePerUnit": 0.95,       // i.e. € 0.95 / l
  "pricePerUnitType": "l",
  "isWeightProduct": false,
  "maxAmount": 99,
  "storeId": 9,
  "imageUrl": "https://web-fileserver.dirk.nl/product-images/12345.jpg",
  "productUrl": "https://www.dirk.nl/boodschappen/zuivel-eieren/zuivel/verse-halfvolle-melk-1-l/12345",
  "source": "dirk-product-scraper",
  "scrapedAt": "2026-06-18T08:30:00+00:00"
}

Rows that could not be fetched (or that came back without a usable price — usually a wrong Store ID) are not written to the dataset (and never billed). Request failures 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 your Store ID (default 9 = Katwijk) — prices are per store, so this picks whose price list you get.
3. Choose what to scrape:
   • Everything (default): leave Category IDs empty to scrape the full Dirk assortment for that store.
   • Specific categories: add one category ID per line (e.g. 1).
4. Click Save & Start. Download results as JSON, CSV, Excel, or via the Apify 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 Dirk category ID per line to scrape only those categories. Empty = scrape all categories (full assortment).
Store ID	integer	9 (Katwijk)	The Dirk store whose prices are returned — prices are store-specific. A default store is preselected; change it to get another location's prices.
Include raw data	boolean	false	Adds the full raw Dirk product object under rawData. Increases item size.
Proxy configuration	object	Apify Automatic	Automatic (datacenter) proxies keep cost near zero. Switch to Dutch (NL) residential only if you ever see blocked requests.
Max concurrency	integer	5	Parallel requests (1–20). Kept moderate to be respectful.
Delay between requests	integer	0	Politeness delay in seconds before each request (0–10). 0 is fine.
Max items	integer	0	Stop after N product records (0 = unlimited).

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Good to know

Products are de-duplicated by product ID across categories, prices come through as euro values, and image links are returned as absolute URLs.

A product whose price can't be read for the chosen store is skipped — so if a run comes back nearly empty, check the Store ID first.

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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 10,000 results of a run, and a cheaper rate for every result beyond that. 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, removed products, and price-less rows 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
Per-store pricing	Yes	You build and maintain it	One store at a time
Offers & discount labels	Yes	You maintain it	One product at a time
Per-unit prices (€/kg, €/l)	Yes	You compute it	Mental math
No login / no account needed	Yes	You build and maintain it	–
Never billed for failures	Yes	–	–
Export JSON / CSV / Excel / Apify API	Yes, built-in	DIY	Copy-paste
Setup time	~60 seconds	Days; breaks on schema 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, the store ID used, and billing counts — ideal for monitoring automated pipelines.

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FAQ

Do I need a Dirk account or login? No. There is no login and no account needed — just set your inputs and run.

Are prices the same everywhere? No — Dirk's prices are store-specific. You pick a Store ID (default 9 = Katwijk) and get that store's prices. Run again with a different Store ID to compare locations.

How do I pick a different store? A default store is preselected. Set the Store ID input to another Dirk store to get that location's prices.

Why did my run come back nearly empty? Almost always an invalid Store ID: when prices can't be resolved for that store, products have no usable price and are skipped. Try the default (9) or another valid store.

How do I get only discounted products? Scrape, then filter on isOffer == true (or a non-null discountLabel); the offer window is in startDate / endDate.

Do I need a proxy? No. The default Automatic (datacenter) proxy works and keeps cost low. Switch to Dutch (NL) residential only if you ever see blocked requests.

How fresh is the data? Each run fetches live data, so you get exactly what dirk.nl shows for that store 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

Part of a family of Dutch-supermarket product scrapers that all share the same clean schema and pay-per-event billing — mix and match for full market coverage:

• Albert Heijn Product Scraper — the largest NL chain; national Bonus pricing.
• Lidl Product Scraper — includes Lidl Plus member prices. Pairs with the Lidl Category Scraper (map the category tree first, then scrape products).
• Plus Product Scraper — per-store pricing, like Dirk.
• DekaMarkt Product Scraper — also store-specific pricing (storeId), the closest sibling to this Actor.
• Hoogvliet Product Scraper — pairs with the Hoogvliet Category Scraper (run category first to map the tree, then product).

Same EUR-normalized output, offer/unit-price fields, and "never billed for failures" guarantee across every chain — so one pipeline can ingest the whole Dutch grocery market with a consistent record shape.

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Disclaimer

This Actor is intended for personal and research use. You are responsible for ensuring your use complies with Dirk van den Broek'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 Dirk van den Broek.