Kiabi Scraper — French Family Fashion Prices & Stock avatar

Kiabi Scraper — French Family Fashion Prices & Stock

Pricing

from $1.20 / 1,000 result scrapeds

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Kiabi Scraper — French Family Fashion Prices & Stock

Kiabi Scraper — French Family Fashion Prices & Stock

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.

Pricing

from $1.20 / 1,000 result scrapeds

Rating

0.0

(0)

Developer

Studio Amba

Studio Amba

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

a day ago

Last modified

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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

FieldTypeRequiredDescription
searchQueriesArray of stringsNoFrench search keywords to scrape in one run. Overrides searchQuery when set.
searchQueryStringNoA single French search keyword, used when searchQueries is empty. Defaults to "robe".
maxResultsIntegerNoMaximum number of unique products to return across all queries (default: 100)
proxyConfigurationObjectNoNot 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:

FieldTypeExample
nameString"Robe portefeuille en maille gaufrée"
brandString"Kiabi"
priceNumber15.00
currencyString"EUR"
originalPriceNumber20.00
discountString"25%"
eanString"3654123456789"
skuString"P3247122C3247125"
inStockBoolean or nulltrue
ratingNumber4.2
reviewCountNumber18
imageUrlStringPrimary product image URL
imageUrlsArrayAll product image URLs
specsObject{"Color": "Vert"}
categoryString"Robe courte"
categoriesArray["Femme", "Robe", "Robe courte"]
urlStringFull product page URL
scrapedAtStringISO 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

{
"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
  • 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 or email hello@studioamba.dev for a free data sample. We maintain 300+ European web scrapers and answer within one business day.