IKEA Product Scraper

IKEA Product Scraper creates a structured dataset of IKEA products collected from ikea.com. Each dataset item represents one product and can include identifiers, prices, ratings, measurements, colors, category path, optional product-detail fields, and an optional nested review history. Query the source with search terms (searchQueries) or IKEA search, category, or product URLs (startUrls), scoped by countryCode and languageCode. Control the result limit with maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

Dataset at a glance

Property	Value
Source	ikea.com (localized retail catalogs)
Record unit	One IKEA product, with optional nested reviews
Input methods	searchQueries and/or IKEA search, category, or product URLs (startUrls)
Main identifiers	itemNo, product URL (url)
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, HTML (Apify dataset exports)
Update model	Fresh records per Actor run
Pricing	$1 / 1,000 products; +$1 / 1,000 product details; +$1 / 1,000 reviews; Actor start $0.00005

Coverage and available records

The Actor collects public IKEA catalog products from one or both entry points. When both are set, the seeds are combined.

• Search-based: searchQueries (for example shoe rack, MALM) resolve against the catalog for countryCode and languageCode.
• URL-based: startUrls accepts IKEA search, category, or product pages. The locale in the URL overrides country/language for that seed.

Listing fields are always collected. Detail fields require includeProductDetails. reviews and reviewStatistics require includeReviews; maxReviews caps reviews per product (0 = all available; default 10).

maxItems caps products across all seeds (0 = unlimited; default 10). Reviews nest on the product and do not count toward maxItems. Observed sourceType values: search, category, product. Pagination stops when the source returns no further products or the cap is reached.

Not currently collected: login-only or in-store-only content, historical snapshots, or pages outside IKEA catalog URLs. Coverage is limited to the requested retail unit and language.

Data dictionary

Field names match dataset JSON properties. Conditional fields appear only when the matching input toggle is enabled. Values come from IKEA for the selected market; the Actor does not calculate prices, ratings, or scores.

Product listing fields

Field	Type	Nullable	Description	Example
itemNo	string	No	Item number; primary dedup key	80624645
itemNoGlobal	string	Yes	Global item number or local itemNo	80624645
itemType	string	Yes	Item type code	ART
name	string	Yes	Family name	VASSKÄR
typeName	string	Yes	Product type	Schuhaufbewahrung
url	string	Yes	Product URL; secondary dedup key	https://www.ikea.com/de/de/p/vasskaer-schuhaufbewahrung-bambus-80624645/
imageUrl	string	Yes	Primary image URL	https://www.ikea.com/de/de/images/products/vasskaer-schuhaufbewahrung-bambus__1165482_pe890877_s5.jpg
price	number	Yes	Numeric price in currency	14.99
currency	string	Yes	ISO currency code	EUR
formattedPrice	string	Yes	Display price	14.99€
measurements	string	Yes	Listing size text	60 cm
design	string	Yes	Design / material text	Bambus
colors	object[]	Yes	{name, id, hex}	[{"name":"beige","id":"10003","hex":"f4f3d7"}]
rating	number	Yes	Average rating	4.1
reviewCount	number	Yes	Review count	29
onlineSellable	boolean	Yes	Online sellable flag	true
lastChance	boolean	Yes	Last-chance flag	false
categoryPath	object[]	Yes	{name, key} breadcrumb	[{"name":"Schuh- & Hutablagen","key":"10454"}]
countryCode	string	No	Retail-unit path	de
languageCode	string	No	Language path	de
sourceType	string	No	search, category, or product	search
sourceQuery	string	No	Original query or item number	shoe rack

Product detail fields (conditional — includeProductDetails)

Field	Type	Nullable	Description	Example
description	string	Yes	Product summary	Für alle Schuhe, ob Sneaker, Boots, Sandalen oder High-Heels
benefits	string[]	Yes	Benefit bullets	["Aus Bambus, einem robusten Naturmaterial."]
materials	string[]	Yes	Material texts	["Bambus, klarer Acryllack"]
careInstructions	string[]	Yes	Care texts	["Mit trockenem Tuch abwischen."]
detailedMeasurements	object[]	Yes	{name, metric, imperial}	[{"name":"Breite","metric":"60 cm","imperial":"23 5/8 \""}]
packageMeasurements	object[]	Yes	{name, metric, imperial, packNo}	[{"name":"Höhe","metric":"7 cm","packNo":1}]
isAssemblyRequired	boolean	Yes	Assembly required	true
numberOfPackages	number	Yes	Package count	1
isNew	boolean	Yes	New-product flag	false
styleGroup	string	Yes	Style grouping	International Modern
attachments	object[]	Yes	Manuals {type, url}	See example record
imageUrls	string[]	Yes	Gallery URLs	See example record

Review fields (conditional — includeReviews)

Reviews nest on the product; they are not separate dataset items.

reviewStatistics includes ratingRange, ratingPercentage, totalRatingCount, totalReviewCount, recommendedCount, notRecommendedCount, distribution (score → count), and optional secondaryRatings ({id, label, rating}).

Each reviews[] object can include id (required), title, text, rating, submittedAt, updatedAt, sourceCountryCode, sourceLangCode, reviewerName, verifiedPurchase, verifiedReviewer, isRecommended, positiveFeedbackCount, negativeFeedbackCount, hasMedia, and imageUrls.

Example dataset record

Real record from searchQueries: ["shoe rack"] on the German catalog (maxItems: 3, details and reviews enabled). The reviews array is truncated to one item; long description text is shortened. Types are unchanged.

{
  "itemNo": "80624645",
  "itemNoGlobal": "80624645",
  "itemType": "ART",
  "name": "VASSKÄR",
  "typeName": "Schuhaufbewahrung",
  "url": "https://www.ikea.com/de/de/p/vasskaer-schuhaufbewahrung-bambus-80624645/",
  "imageUrl": "https://www.ikea.com/de/de/images/products/vasskaer-schuhaufbewahrung-bambus__1165482_pe890877_s5.jpg",
  "price": 14.99,
  "currency": "EUR",
  "formattedPrice": "14.99€",
  "measurements": "60 cm",
  "design": "Bambus",
  "colors": [{ "name": "beige", "id": "10003", "hex": "f4f3d7" }],
  "rating": 4.1,
  "reviewCount": 29,
  "onlineSellable": true,
  "lastChance": false,
  "categoryPath": [
    { "name": "Schuh- & Hutablagen", "key": "10454" }
  ],
  "countryCode": "de",
  "languageCode": "de",
  "sourceType": "search",
  "sourceQuery": "shoe rack",
  "description": "Für alle Schuhe, ob Sneaker, Boots, Sandalen oder High-Heels",
  "benefits": ["Aus Bambus, einem robusten Naturmaterial."],
  "materials": ["Bambus, klarer Acryllack"],
  "careInstructions": ["Mit trockenem Tuch abwischen."],
  "detailedMeasurements": [
    { "name": "Breite", "metric": "60 cm", "imperial": "23 5/8 \"" }
  ],
  "packageMeasurements": [
    { "name": "Höhe", "metric": "7 cm", "imperial": "2 ¾ \"", "packNo": 1 }
  ],
  "isAssemblyRequired": true,
  "numberOfPackages": 1,
  "isNew": false,
  "styleGroup": "International Modern",
  "attachments": [
    {
      "type": "ASSEMBLY_INSTRUCTIONS",
      "url": "https://www.ikea.com/de/de/assembly_instructions/vasskaer-schuhaufbewahrung-bambus__AA-2358401-2-1.pdf"
    }
  ],
  "reviewStatistics": {
    "ratingRange": 5,
    "ratingPercentage": 82,
    "totalRatingCount": 29,
    "totalReviewCount": 29,
    "recommendedCount": 18,
    "notRecommendedCount": 5,
    "distribution": { "1": 3, "2": 1, "3": 3, "4": 4, "5": 18 }
  },
  "reviews": [
    {
      "id": "e50134f6-aaaf-4f3a-9548-676111e57dae",
      "title": "Klasse!",
      "text": "Ein tolles Schuhregal, dass genau das tut, was es soll.",
      "rating": 5,
      "submittedAt": "2026-04-17T12:20:48Z",
      "sourceCountryCode": "de",
      "reviewerName": "Mathias",
      "verifiedPurchase": false,
      "verifiedReviewer": true,
      "isRecommended": true
    }
  ]
}

The record above was produced with this input:

{
  "searchQueries": ["shoe rack"],
  "countryCode": "de",
  "languageCode": "de",
  "maxItems": 3,
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviews": 5,
  "detailConcurrency": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Query and input reference

Input	Type	Required	Default	Accepted values	Description
searchQueries	array	No*	—	Free-text terms	Search seeds; combined with startUrls when both are set
startUrls	array	No*	—	IKEA search, category, or product URLs	URL seeds; locale in the URL overrides country/language for that seed
countryCode	string	No	de	e.g. de, us, gb, fr, se	Retail-unit path for search queries
languageCode	string	No	de	e.g. de, en, fr, sv	Language path for search queries
maxItems	integer	No	10	0 or positive integer	Max products across all seeds; 0 = unlimited
includeProductDetails	boolean	No	false	true / false	Collect detail fields (product-details per product)
includeReviews	boolean	No	false	true / false	Collect nested reviews (product-reviews per review)
maxReviews	integer	No	10	0 or positive integer	Max reviews per product; 0 = all available
detailConcurrency	integer	No	5	1–15	Parallel enrichment when details or reviews are enabled
proxyConfiguration	object	No	Apify RESIDENTIAL	Apify or custom proxies	Residential proxies are recommended

* Provide at least one of searchQueries or startUrls.

Minimal request:

{ "searchQueries": ["shoe rack"], "countryCode": "de", "languageCode": "de" }

Advanced request:

{
  "startUrls": [{ "url": "https://www.ikea.com/de/de/search/?q=shoe%20rack" }],
  "maxItems": 100,
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviews": 10,
  "detailConcurrency": 5,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Retrieve the data through the API

Records are delivered through the Apify Actor and Dataset APIs — not an official IKEA API.

1. Start the Actor with a JSON input.
2. Wait for the run, or use a synchronous endpoint.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "searchQueries": ["shoe rack"],
    "countryCode": "de",
    "languageCode": "de",
    "maxItems": 10,
    "includeProductDetails": True,
}

run = client.actor("datascrapers/ikea-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["itemNo"], item["name"], item["formattedPrice"])

Other languages are on the Actor's API tab. Do not put a real API token in shared code or URLs.

Data quality and record handling

• Conditional fields: details and reviews appear only when their toggles are enabled.
• Source values: prices, ratings, measurements, and flags come from IKEA. Missing values are omitted or null, not fabricated.
• Deduplication: within a run, products are de-duplicated by countryCode + itemNo. Across runs, records are appended. Use itemNo or url as the external key; the same itemNo can exist in more than one country.
• Failures: one failed product or seed does not stop the run. The run stops if a spending limit is reached. maxItems caps products; maxReviews caps nested reviews.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL / Supabase	Dataset API or webhook consumer	Catalog prices and item numbers
Google Sheets	Apify Google Sheets integration	Shortlists and price checks
PIM / catalog systems	Dataset API or completion webhook	Product-feed refresh
S3 / cloud storage	Scheduler + export integration	Market snapshots

Pricing and cost examples

Pay-per-event pricing. Events are tiered by Apify plan. Each run also charges a one-time Actor start. Residential proxies are recommended. Proxy and compute are billed by your Apify plan.

Event	Trigger	Rate
Actor start	Once per run	$0.00005
dataset-item	Each product written to the dataset	$0.001 / product ($1 / 1,000)
product-details	Details collected (includeProductDetails)	$0.001 / product ($1 / 1,000)
product-reviews	Each review collected (includeReviews)	$0.001 / review ($1 / 1,000)

List-rate examples (Actor start negligible; plan-tier discounts not applied):

Records	Configuration	Estimated base cost
1,000	Listing only	$1.00
10,000	Listing only	$10.00
1,000	Listing + details	$2.00
1,000	Listing + details + 10 reviews each	$12.00
10,000	Listing + details + 10 reviews each	$120.00

Ten reviews on one product are ten product-reviews events. Estimates depend on the pricing model, options, and plan tier.

Limitations and responsible data use

• Collects publicly accessible IKEA catalog data only.
• Fields depend on what IKEA renders for the requested country and language at run time; values can be missing.
• No historical snapshots unless you store them yourself. Assortment and prices differ by retail unit.
• Residential proxies are recommended; coverage may degrade without them.
• You are responsible for IKEA terms, privacy law, and contractual obligations before using the data.

Dataset questions

What does one dataset item represent?

One IKEA product. Reviews nest in reviews, so a product with 29 reviews is still one dataset item. maxItems caps products, not reviews.

Which field should I use as a unique identifier?

itemNo is the recommended key. Combine it with countryCode across markets. url is a secondary key.

Are fields nullable or conditional?

Yes. Detail fields require includeProductDetails. reviews and reviewStatistics require includeReviews. Unrendered fields are omitted or null.

How do I query a specific IKEA country or language?

Set countryCode and languageCode to the IKEA URL path segments (for example de/de, us/en). For startUrls, the locale in the URL overrides those inputs for that seed.

Can I retrieve the records as CSV or JSON?

Yes. Export JSON, CSV, Excel, XML, or HTML from the Apify Console, or query the Dataset API.

Does the Actor return historical data?

No. Each run captures catalog state at run time. Schedule repeated runs and store outputs to track changes.

What counts as a billable result?

Actor start once per run ($0.00005), dataset-item per product ($0.001), product-details per enriched product ($0.001), and product-reviews per review ($0.001). Listing-only runs incur Actor start plus dataset-item.

Related datasets from Data Scrapers

• Amazon Search Scraper — Marketplace products for cross-retailer price comparison with IKEA items.
• Best Buy Product Scraper — Electronics and appliance records for the same monitoring pipelines.
• Costco Product Scraper — Warehouse-club home and furniture products that overlap IKEA categories.
• HomeDepot Scraper — Home-improvement product data alongside IKEA furniture and storage.
• Etsy Scraper — Handmade and vintage home-goods listings for adjacent decor analysis.
• Instacart Scraper — Grocery and household products for broader retail comparison.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.