# Kiabi Scraper — French Family Fashion Prices & Stock (`studio-amba/kiabi-scraper`) Actor

Scrape product data from Kiabi.com, France's major family-fashion retailer (kids, baby, women, men, home). Extract names, brands, prices, discounts, ratings, stock, categories, and images by search keyword. No login required.

- **URL**: https://apify.com/studio-amba/kiabi-scraper.md
- **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 result 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

## Kiabi Scraper — French Family Fashion Prices & Stock

Search Kiabi.com's kids, baby, women's and men's fashion catalogue and get back names, brands, prices, discounts, ratings, stock, categories and images in clean JSON — without hitting the site's DataDome anti-bot wall yourself. No login or cookies required.

### What is Kiabi Scraper?

Kiabi (kiabi.com) is one of France's largest family-fashion retailers, selling kids', baby, women's, men's and home products, with storefronts in Belgium, Spain, Italy and Poland alongside France. Its product pages sit behind DataDome, which blocks plain HTTP requests and even headless browsers with a device-verification challenge — this actor routes every request through Bright Data's Web Unlocker to get the real page, then reads the product list straight out of the site's own server-rendered data (the same JSON the site's React app hydrates from), not fragile CSS selectors.

- **Price monitoring** — track Kiabi's pricing and discount activity across categories over time
- **Catalog enrichment** — pull names, brands, images and category breadcrumbs to enrich a product database or comparison feed
- **Assortment analysis** — see what's carried and at what price point across kids/baby/women/men lines
- **Stock signal** — per-listing purchasable/not-purchasable status, useful for drop and restock tracking
- **Sibling coverage** — pairs with our other French fashion and family-retail scrapers for cross-retailer comparison

### How to scrape Kiabi data

1. Provide one or more French search keywords in `searchQueries` (e.g. `"robe"`, `"pull enfant"`, `"jean homme"`, `"body bebe"`, `"doudoune fille"`) — the same terms a shopper would type into the site's own search box. A single keyword works too, via `searchQuery`.
2. Set `maxResults` to the number of unique products you want back.
3. Run the actor. Each keyword returns its own page of results (Kiabi's search page shows the first ~40 products per query), deduplicated by product URL, until `maxResults` is reached.
4. Read the results from the dataset — one row per product, ready to export as JSON, CSV or Excel.

Kiabi's search results page is infinite-scroll on the live site rather than classic numbered pagination, so this actor covers breadth through multiple keywords per run instead of paging deeper into a single query. Running several related keywords (e.g. `"robe fille"`, `"robe femme"`, `"robe bebe"`) in one call is the way to widen coverage within a category.

### Input

| Field | Type | Required | Description |
|-------|------|----------|--------------|
| `searchQueries` | Array of strings | No | French search keywords to scrape in one run. Overrides `searchQuery` when set. |
| `searchQuery` | String | No | A single French search keyword, used when `searchQueries` is empty. Defaults to `"robe"`. |
| `maxResults` | Integer | No | Maximum number of unique products to return across all queries (default: 100) |
| `proxyConfiguration` | Object | No | Not used for fetching — kept for input-schema consistency with other actors in this fleet. Kiabi.com is fetched through Bright Data Web Unlocker internally to clear DataDome, not through Apify Proxy. |

### Output

Each result contains:

| Field | Type | Example |
|-------|------|---------|
| `name` | String | `"Robe portefeuille en maille gaufrée"` |
| `brand` | String | `"Kiabi"` |
| `price` | Number | `15.00` |
| `currency` | String | `"EUR"` |
| `originalPrice` | Number | `20.00` |
| `discount` | String | `"25%"` |
| `ean` | String | `"3654123456789"` |
| `sku` | String | `"P3247122C3247125"` |
| `inStock` | Boolean or null | `true` |
| `rating` | Number | `4.2` |
| `reviewCount` | Number | `18` |
| `imageUrl` | String | Primary product image URL |
| `imageUrls` | Array | All product image URLs |
| `specs` | Object | `{"Color": "Vert"}` |
| `category` | String | `"Robe courte"` |
| `categories` | Array | `["Femme", "Robe", "Robe courte"]` |
| `url` | String | Full product page URL |
| `scrapedAt` | String | ISO timestamp |

`inStock` is a true 3-state signal: `true` when at least one size is confirmed purchasable online, `false` when none are, and `null` when the listing didn't expose SKU-level purchasability at all. It is never guessed or coerced from a missing value to `false`. Kiabi does not expose a numeric inventory count, only per-size purchasable flags.

### Example output

```json
{
    "name": "Robe portefeuille en maille gaufrée",
    "brand": "Kiabi",
    "price": 15.00,
    "currency": "EUR",
    "originalPrice": 20.00,
    "discount": "25%",
    "ean": "3654123456789",
    "sku": "P3247122C3247125",
    "inStock": true,
    "rating": 4.2,
    "reviewCount": 18,
    "imageUrl": "https://static.kiabi.com/...",
    "imageUrls": [
        "https://static.kiabi.com/...1.jpg",
        "https://static.kiabi.com/...2.jpg"
    ],
    "specs": {
        "Color": "Vert"
    },
    "category": "Robe courte",
    "categories": ["Femme", "Robe", "Robe courte"],
    "url": "https://www.kiabi.com/robe-portefeuille-en-maille-gaufree-vert_P3247122C3247125",
    "scrapedAt": "2026-08-25T10:00:00.000Z"
}
```

### Cost estimate

Each search keyword costs one page fetch and returns up to ~40 products, so a 1,000-result run needs roughly 25 keywords. This actor is fast and light on compute — a full run typically finishes in well under a minute per keyword. Usage cost only settles once a run reports SUCCEEDED — reading the dataset mid-run will undercount what you're billed.

### Limitations

- Coverage per keyword is capped at Kiabi's own search page-1 result set (~40 products); the site's search UI is infinite-scroll with no crackable page parameter, so breadth comes from running more keywords, not from paging deeper into one
- Third-party brands sold on Kiabi appear alongside the private-label `"Kiabi"` brand where the site exposes them
- Data is scraped from the public website and may change without notice
- Respect the website's terms of service and use responsibly

### Related scrapers

- `c-and-a-scraper` — European family and kids fashion retailer, same vertical
- `snipes-scraper` / `solebox-scraper` — streetwear and sneaker retailers
- `back-market-scraper` — refurbished electronics marketplace

### Maintained by Studio Amba

We run 700+ scrapers for European websites, and the priority is keeping every one of them working. Automated runs test this actor against the live site and verify the output is complete. When the website changes, the scraper usually gets repaired the same day, without you having to report anything. Questions and issues go straight to the people who built it, and most get an answer the same day.

### Need this data on a schedule, or a custom version?

We run this scraper as a managed service for businesses: scheduled runs, deduplication, delta detection, and delivery to your inbox, Google Sheets, or API — maintenance included. We can also build a custom version with your exact fields and filters, or combine multiple sources into one feed.

See [studioamba.dev/services](https://studioamba.dev/services/) or email <hello@studioamba.dev> for a free data sample. We maintain 300+ European web scrapers and answer within one business day.

# Actor input Schema

## `searchQuery` (type: `string`):

Search term to find products on kiabi.com, in French (e.g. "robe", "pull enfant", "jean homme"). Used when searchQueries is empty.

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

Multiple French search keywords to scrape in one run (e.g. \["robe", "pull enfant", "jean homme"]). Each keyword returns its own batch of results (Kiabi's search page shows the first ~40 products per keyword; use several keywords for broader coverage). Overrides searchQuery when set. Capped at 20 queries per run.

## `maxResults` (type: `integer`):

Maximum number of products to return across all search queries.

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

Not used for fetching — Kiabi.com is behind DataDome, so this actor fetches pages through Bright Data Web Unlocker instead of Apify Proxy. Kept for consistency with other actors in this fleet; has no effect on results.

## Actor input object example

```json
{
  "searchQuery": "robe",
  "searchQueries": [
    "robe"
  ],
  "maxResults": 40,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "FR"
  }
}
```

# Actor output Schema

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

No description

# 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 = {
    "searchQuery": "robe",
    "searchQueries": [
        "robe"
    ],
    "maxResults": 40,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "FR"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("studio-amba/kiabi-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 = {
    "searchQuery": "robe",
    "searchQueries": ["robe"],
    "maxResults": 40,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "FR",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("studio-amba/kiabi-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 '{
  "searchQuery": "robe",
  "searchQueries": [
    "robe"
  ],
  "maxResults": 40,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "FR"
  }
}' |
apify call studio-amba/kiabi-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,studio-amba/kiabi-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/Yycq6eR3UvAPFx5kP/builds/E2QggoUHO4Q5VvGvy/openapi.json