Sephora Product Scraper — Prices, Shades & Ratings

Disclaimer: Unofficial tool — not affiliated with, sponsored by, or endorsed by Sephora USA, Inc. or its affiliates. Data is read from publicly accessible US search and category listings only. No login. You are responsible for complying with applicable law and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

Search the US catalog by keyword, category URL, or product URL and save one row per product: brand, name, price, rating, review count, and shade images nested on that row. This Sephora scraper is an API alternative for beauty price monitoring and assortment research. Run it from Python, Node.js, or MCP; export JSON / CSV / dataset. HTTP only — no headless browser.

Crawloop Marketplace & E-commerce Suite — Sephora US listing cards, then Amazon, Walmart, or Flipkart for the same product outside this catalog.

Sephora Product Scraper ◄── you are here	Amazon Search Scraper	Walmart Scraper	Flipkart Scraper	AliExpress Search Scraper
US keyword and category cards, price, rating, shade images	Amazon keyword SERP, badges, sponsored	Walmart ZIP-local prices	Flipkart INR price, MRP, Assured	AliExpress prices, sold count, Choice

---

When to use this Actor

• US price checks — listed price or a price range on a keyword or category
• Assortment pulls — brand, name, rating, review count, and hero image
• Shade counts — how many color SKUs the listing exposes, with swatch image URLs when the category document includes them
• Scheduled refresh — same keyword, compare price and rating over time

When not to use this Actor

• Review text, ingredients, or store stock — those are not on the listing document this Actor reads
• Markets outside the US storefront — this card is the US catalog
• Amazon, Walmart, Flipkart, or AliExpress — use the sibling Actors in the table above

---

Key Features

• Keyword search — query or batch queries
• Category URLs — shop paths and category ids
• Product URLs — matched back to the listing that contains that product id (one row)
• Shades on the product row — SKU id and images nested in variants. One saved product is one row
• Pagination + caps — up to 20 pages per query, or stop at maxItems
• HTTP — Chrome TLS impersonation, 256 MB. US residential proxy

---

How to scrape Sephora products

1. Set a keyword in query, or paste US search, shop, or product URLs in startUrls.
2. Cap volume with maxItems and maxPages.
3. Keep the default US residential proxy.
4. Run the Actor. Download the default dataset as JSON, CSV, or Excel — or call it from Python, Node.js, or MCP.

---

Input Parameters

Parameter	Type	Default	Description
query	String	—	Primary US keyword
queries	Array	—	Extra keywords (same page cap)
startUrls	Array	—	US search, shop/category, or product URLs
maxPages	Integer	1	Pages per query or URL (1–20)
maxItems	Integer	—	Product cap per keyword or URL
startPage	Integer	1	First page
deduplicateIds	Boolean	true	One row per productId in the run
maxConcurrency	Integer	1	Parallel queries (1–2)
proxyConfiguration	Object	residential, US	Apify Proxy. Datacenter IPs are blocked

Input example

{
  "query": "lipstick",
  "maxPages": 1,
  "maxItems": 40,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

---

Output

Each dataset item is one product. Shade SKUs sit in variants.

Field	Description
productId, skuId	Product id and the default SKU
brand, name	Brand and product name
price, priceMax, listPrice	Low price, high price when the card shows a range, and the original price text
currency	USD when the card shows a dollar price
rating, reviewCount	Average stars and review count
variantCount, variants	Shade count, plus SKU id and images when the listing includes swatches
isBestseller, isNew, isLimitedEdition, isSephoraExclusive	Flags on the default SKU
imageUrl, url	Hero image and public product URL
page, position, searchQuery	Where the row was found

Output example

{
  "source": "sephora_us",
  "searchQuery": "lipstick",
  "page": 1,
  "position": 1,
  "productId": "P510799",
  "skuId": "2837425",
  "brand": "MAC Cosmetics",
  "name": "M·A·Cximal Silky Matte Lipstick",
  "price": 16.0,
  "priceMax": 25.0,
  "listPrice": "$16.00 - $25.00",
  "currency": "USD",
  "rating": 4.5926,
  "reviewCount": 761,
  "variantCount": 26,
  "variationType": "Color",
  "isBestseller": true,
  "url": "https://www.sephora.com/product/mac-lipstick-P510799?skuId=2837425",
  "variants": [
    {
      "skuId": "2837425",
      "imageUrl": "https://www.sephora.com/productimages/sku/s2837425-main-zoom.jpg",
      "swatchImageUrl": "https://www.sephora.com/productimages/sku/s2837425+sw.jpg"
    }
  ],
  "scrapedAt": "2026-09-29T12:00:00Z"
}

---

Use Cases

Use case	What you get	Why it helps
Price monitoring	price, priceMax, listPrice	Track a keyword or category without opening each product
Assortment build	Brand, name, image, URL	Seed a sheet from search or a shop URL
Shade coverage	variantCount and variants	See how many color SKUs a listing exposes
Cross-catalog check	Same keyword on Amazon or Walmart	Compare a US beauty card with another retailer

---

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/sephora-scraper').call({
  query: 'lipstick',
  maxPages: 1,
  maxItems: 40
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/sephora-scraper").call(
    run_input={"query": "lipstick", "maxPages": 1, "maxItems": 40}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("productId"), item.get("brand"), item.get("name"), item.get("price"))

cURL

curl "https://api.apify.com/v2/acts/crawloop~sephora-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query":"lipstick","maxPages":1,"maxItems":40}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call this Actor by Store ID crawloop/sephora-scraper.

Example prompts:

• "Run Sephora Product Scraper for lipstick, 1 page, return productId, brand, name, price, rating, and reviewCount"
• "Scrape the US lipstick category and list bestsellers with more than 20 shades"
• "Chain Sephora Product Scraper then Amazon Search Scraper for the same keyword and compare US beauty prices with the Amazon SERP"

Suite next step

After a Sephora keyword pull, compare the same products on Amazon Search Scraper. For store prices by ZIP, use Walmart Scraper.

---

FAQ

Does this open product pages? No. Keyword and category rows come from the listing document. A product URL is resolved by searching for that product id on the same listing, not by fetching a separate product page.

Are review texts or ingredients included? No. The row has the rating and the review count shown on the listing. Review bodies, ingredients, and per-store stock are not collected.

What if the run saves nothing? An empty keyword or a blocked session finishes without rows and without a crash. US residential proxy is required; datacenter IPs are blocked.

Can I schedule it? Yes. Save a task with the same keyword and run it on a schedule. Compare price across runs.