# IKEA Product Scraper (`datascrapers/ikea-scraper`) Actor

IKEA product dataset from search queries or catalog URLs, including prices, ratings, measurements, optional product details, and customer reviews.

- **URL**: https://apify.com/datascrapers/ikea-scraper.md
- **Developed by:** [Farhan Ali](https://apify.com/datascrapers) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.97 / 1,000 product scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

**IKEA Product Scraper** creates a structured dataset of IKEA products collected from [ikea.com](https://www.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.

```json
{
  "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:

```json
{
  "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:

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

Advanced request:

```json
{
  "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.

```python
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](https://apify.com/datascrapers/ikea-scraper/api). 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](https://apify.com/datascrapers/amazon-scraper)** — Marketplace products for cross-retailer price comparison with IKEA items.
- **[Best Buy Product Scraper](https://apify.com/datascrapers/best-buy-scraper)** — Electronics and appliance records for the same monitoring pipelines.
- **[Costco Product Scraper](https://apify.com/datascrapers/costco-scraper)** — Warehouse-club home and furniture products that overlap IKEA categories.
- **[HomeDepot Scraper](https://apify.com/datascrapers/homedepot-scraper)** — Home-improvement product data alongside IKEA furniture and storage.
- **[Etsy Scraper](https://apify.com/datascrapers/etsy-scraper)** — Handmade and vintage home-goods listings for adjacent decor analysis.
- **[Instacart Scraper](https://apify.com/datascrapers/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.

# Actor input Schema

## `searchQueries` (type: `array`):

Product search terms to look up on IKEA (e.g. "shoe rack", "MALM", "kallax"). Primary input for AI agents — no URL required. Combined with Start URLs when both are set.

## `startUrls` (type: `array`):

IKEA search, category, or product page URLs (e.g. https://www.ikea.com/de/de/search/?q=shoe%20rack, https://www.ikea.com/de/de/cat/kinder-bc003/, https://www.ikea.com/de/de/p/vasskaer-schuhaufbewahrung-bambus-80624645/). Locale in the URL overrides Country / Language for that seed.

## `countryCode` (type: `string`):

IKEA retail-unit / country path used for search queries (e.g. de, us, gb, fr, se). IKEA URLs look like ikea.com/{country}/{language}/.

## `languageCode` (type: `string`):

Site language path used for search queries (e.g. de, en, fr, sv).

## `maxItems` (type: `integer`):

Maximum number of products to scrape across all queries and URLs (0 = unlimited).

## `includeProductDetails` (type: `boolean`):

When enabled, fetch full product details for each item (description, materials, measurements, care instructions, manuals). Charged as the product-details event in addition to each dataset item.

## `includeReviews` (type: `boolean`):

When enabled, fetch customer reviews for each product. Charged as the product-reviews event once per review, in addition to each dataset item.

## `maxReviews` (type: `integer`):

Maximum number of reviews to collect per product when Include Product Reviews is enabled (0 = all available reviews).

## `detailConcurrency` (type: `integer`):

How many products to enrich in parallel when product details or reviews are enabled. Higher is faster; keep it modest to avoid blocks.

## `proxyConfiguration` (type: `object`):

Proxy settings. Apify Residential proxies are recommended for reliable IKEA access.

## Actor input object example

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

# Actor output Schema

## `results` (type: `string`):

Dataset containing scraped IKEA products

## `runStats` (type: `string`):

Aggregate scrape statistics for this run

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "shoe rack"
    ],
    "startUrls": [
        {
            "url": "https://www.ikea.com/de/de/search/?q=shoe%20rack"
        }
    ],
    "countryCode": "de",
    "languageCode": "de",
    "maxItems": 10,
    "maxReviews": 10,
    "detailConcurrency": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascrapers/ikea-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["shoe rack"],
    "startUrls": [{ "url": "https://www.ikea.com/de/de/search/?q=shoe%20rack" }],
    "countryCode": "de",
    "languageCode": "de",
    "maxItems": 10,
    "maxReviews": 10,
    "detailConcurrency": 5,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("datascrapers/ikea-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "shoe rack"
  ],
  "startUrls": [
    {
      "url": "https://www.ikea.com/de/de/search/?q=shoe%20rack"
    }
  ],
  "countryCode": "de",
  "languageCode": "de",
  "maxItems": 10,
  "maxReviews": 10,
  "detailConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call datascrapers/ikea-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/ikea-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Fyai68Egzc0K2B2rM/builds/OYNSb9M4Scv9hwqSo/openapi.json