Sephora · live
Sephora product data, one call away.
Sephora price (sale price on the sku asked), regular price, size, shade and online stock per sku, and every sku of the product, by product id with an optional sku. Rating from Sephora. Search with ratings.
- product ids per credit · $3.50 a credit
- ≈350,000product ids per credit · $3.50 a credit
- product ids per call
- 50product ids per call
- typical call, 50 ids
- 15–40 stypical call, 50 ids
In practice
One Sephora call
Up to 50 product ids a call, about 350,000 per credit. Values are illustrative.
curl -X POST "https://api.scrapelyserp.com/v1/products" \
-H "Authorization: Bearer $SCRAPELY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"platform":"sephora","marketplace":"us","ids":["P467208:2417145"]}'{
"platform": "sephora",
"marketplace": "us",
"tier": "standard",
"results": [
{
"id": "P467208:2417145",
"status": "ok",
"fetchedAt": "2026-10-16T14:02:11.482Z",
"title": "Stainless steel pour-over kettle, 1 L",
"price": {
"amount": 34.99,
"currency": "USD"
},
"availability": {
"inStock": true,
"message": "In stock"
}
},
{
"id": "P467208:2417145",
"status": "ok",
"fetchedAt": "2026-10-16T14:02:11.482Z",
"title": "Non-slip yoga mat, 6 mm",
"price": {
"amount": 21.5,
"currency": "USD"
},
"availability": {
"inStock": true,
"message": "In stock"
}
}
],
"stats": {
"requested": 2,
"ok": 2,
"partial": 0,
"notFound": 0,
"unavailable": 0,
"elapsedMs": 1840
},
"credits": 0.0000057142857142857145
}What it returns
The shared fields, plus Sephora's own
Every result carries the fields every platform shares — id, status, title, price with its currency, availability — and what only Sephora publishes on top.
Marketplaces
- US (live)
- The asked sku's price, sale price and regular price
- Size, shade and brand
- Online stock per sku
- Every sku of the product with its regular price
- Sephora's own rating and review count (by bare product id)
- Title, image and link
Pricing
One tier, every field
One credit costs $3.50: each call spends credits in proportion to the data it moves, and requests that fail cost nothing. Items per credit are typical.
| Tier | product ids / credit | 1M product ids | Per call | Typical call |
|---|---|---|---|---|
| "standard"Title, brand, the asked sku's price (with its sale price when it has one), its regular price, size, shade, stock, every other sku of the product with its regular price and stock, and Sephora's own rating (by bare product id). | ≈ 350,000 | $10.00 | 50 | 15–40 s for 50 ids |
- okmetered
Product returned cleanly. Use it.
- partialmetered
Some fields could not be read. Retry, or re-fetch at a higher tier where there is one.
- not_foundmetered
Sephora says the product id does not exist. Delist it.
- unavailablefree
No answer this time, so nothing to pay. Retry later; not evidence it is dead.
Pricing
Search Sephora too
One credit costs $3.50: each call spends credits in proportion to the data it moves, and a page we could not read costs nothing. Items per credit are typical.
| Endpoint | Per credit | Per call | Typical call |
|---|---|---|---|
| GET /v1/structured/sephora/searchSephora search | ≈ 1.5 million results | up to 200 per page | 1–4 s |
FAQ
Sephora questions
Which Sephora marketplaces are supported?
Sephora US ("us", USD) today. "marketplace": "us" is the default.
What product id do I send?
A Sephora product id (P and 3 to 9 digits), optionally with a sku after a colon (P467208:2417145); a Sephora product link is accepted, and its skuId is kept, e.g. P467208:2417145. Send them as "ids". Duplicates are fetched once; anything that is not a product id is rejected with a 400 before anything is charged.
How is it billed?
In credits, at $3.50 a credit: every call spends credits in proportion to the data it moves. Standard covers about 350,000 product ids a credit, up to 50 a call. A request that fails costs nothing, and the response tells you the credits each call used.
Same API, same response shape
- Amazonup to 62.5 million ASINs / credit
- Walmart~1.3 million item ids / credit
- eBay~15,000 item ids / credit
- Target~3 million TCINs / credit
- Best Buy~1.4 million SKUs / credit
- Costco~1.4 million item or product numbers / credit
- PetSmart~30,000 product ids / credit
- Sam's Club~25,000 item ids / credit
- Walgreens~190,000 product ids / credit
- CVS~400,000 product ids / credit
- BJ's~4 million item numbers / credit
- StockX~400,000 product ids / credit
- GOAT~500,000 product ids / credit
- TCGplayer~1.3 million product ids / credit
- Staples~2 million item ids / credit
- Kohl's~5 million product ids / credit
- Office Depot~7.5 million skus / credit
- IKEA~750,000 item numbers / credit
- Poshmark~1 million listing ids / credit
- GameStop~10 million product ids / credit
- Dick's Sporting Goodsup to 4.5 million skus / credit
- Grailed~20 million listing ids / credit
- Macy'sup to 75,000 product ids / credit
- Albertsons~2.8 million UPCs / credit
- Neweggup to 2.5 million item numbers / credit
- Ulta Beauty~350,000 item ids / credit
- Whatnot~2.5 million listing ids / credit
- Kroger~29,000 UPCs / credit
- The Home Depot~25 million item numbers / credit
- Wayfair~800,000 product SKUs / credit
- Shopify stores~1.3 million product ids / credit
- Academy Sports + Outdoorsup to 8 million product ids / credit
- Five Below~5 million product ids / credit
- Dollar General~625,000 item numbers or UPCs / credit
- Family Dollar~12.5 million product ids / credit
- Hot Topic~200,000 product ids / credit
- Ace Hardware~20,000 product codes / credit
- London Drugs~50,000 product codes / credit
- Funko~50,000 product ids / credit
- Banggood~300,000 product ids / credit
- Overstock~34,000 product links / credit
- DHgate~37,000 product ids / credit
- Redbubble~95,000 product links / credit
- Costway~240,000 product ids / credit
- Wish~172,000 product ids / credit
- vidaXL~9,500 EANs / credit
- Dell~52,000 order codes / credit
- Alibaba~32,000 product ids / credit
- AliExpress~24,000 product ids / credit
- Reverb~1 million listing ids / credit
- Micro Centerup to 6 million product ids / credit
- Reddit~375,000 posts / credit
- Bing~550,000 results / credit
- DuckDuckGo~3.3 million results / credit
- Gemini~250,000 answers / credit
- ChatGPT~10,000 answers / credit
- Bluesky~4.8 million posts / credit
- Mastodon~2.8 million posts / credit
- Lemmy~2.3 million posts / credit
- Discourse forums~7.5 million posts / credit
- Tumblr~450,000 posts / credit
- Hacker News~2 million results / credit
- Dev.to~1 million articles / credit
- Wikipedia~5 million results / credit
- GitHub~2 million results / credit
- Stack Exchange~5 million results / credit
- GoogleComing soonSearch and Shopping result pages as typed JSON.
Start pulling
product data
Create an account, buy a credit pack and fetch products from any live retailer. No subscription, and what you buy never expires.
POST api.scrapelyserp.com/v1/products { "platform", "marketplace", "ids": […] }