Pricing

Pay per usage

Scrape Sephora Product — Prices, Reviews & Availability

Scrape sephora product data at scale with this powerful Apify actor. Extracts prices, reviews & availability with automatic pagination and proxy rotation. Perfect for market research, competitive intelligence, and data-driven decision making.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Donny Nguyen

Actor stats

Bookmarked

Total users

Monthly active users

18 hours ago

Last modified

Scrape Sephora Products — Beauty Prices, Ratings & Reviews

Apify actor that scrapes Sephora.com beauty product search results. Extract product names, brands, prices, sizes, star ratings, review counts, loves counts, badges, images, and direct product URLs from any Sephora search query.

Features

Search any beauty product — Moisturizers, serums, lipsticks, foundations, fragrances, skincare sets, and more
Full product details — Brand, name, price, size/quantity extracted from each product card
Ratings and reviews — Star rating (out of 5) and total review count for every product
Loves count — Sephora community "loves" metric when displayed
Badges — Captures New, Bestseller, Sale, Limited Edition, Online Only, and Exclusive tags
Product images — Direct image URLs for each product
Pagination support — Automatically follows search result pages until maxResults is reached
Anti-detection — Realistic browser fingerprint with randomized delays between requests
Configurable limits — Set exactly how many products you want (1 to 1,000)

Input Parameters

Parameter	Type	Required	Default	Description
`searchQuery`	string	Yes	`"moisturizer"`	The search term to query on Sephora
`maxResults`	integer	No	`50`	Maximum number of products to collect (1-1,000)

Output Dataset Fields

Field	Type	Description
`name`	string	Product display name
`brand`	string	Brand name (e.g., "Drunk Elephant", "NARS")
`price`	string	Price as displayed (e.g., "$38.00", "$22.00 - $44.00")
`size`	string	Size or quantity info (e.g., "1.7 oz / 50 mL")
`rating`	number	Star rating out of 5 (e.g., 4.5)
`reviewCount`	number	Total number of customer reviews
`lovesCount`	number	Community "loves" count if visible
`imageUrl`	string	Direct URL to the product image
`productUrl`	string	Full URL to the product detail page on Sephora
`badges`	array	List of badge labels (New, Bestseller, Sale, etc.)
`searchQuery`	string	The original search query used
`scrapedAt`	string	ISO 8601 timestamp of when the product was scraped
`pageNumber`	number	The search results page the product was found on

Example Output

{
    "name": "Protini Polypeptide Firming Moisturizer",
    "brand": "Drunk Elephant",
    "price": "$68.00",
    "size": "1.69 oz / 50 mL",
    "rating": 4.3,
    "reviewCount": 8742,
    "lovesCount": 215000,
    "imageUrl": "https://www.sephora.com/productimages/sku/s2210607-main-zoom.jpg",
    "productUrl": "https://www.sephora.com/product/protini-tm-polypeptide-cream-P427421",
    "badges": ["Bestseller"],
    "searchQuery": "moisturizer",
    "scrapedAt": "2026-02-10T12:00:00.000Z",
    "pageNumber": 1
}

Use Cases

Price monitoring — Track Sephora beauty product pricing over time
Competitive analysis — Compare brands and product ratings within categories
Market research — Analyze trending beauty products, bestsellers, and new launches
Review aggregation — Collect ratings and review counts across product lines
Inventory tracking — Monitor product availability and sale events
Content creation — Build product comparison datasets for beauty blogs and reviews

Technical Details

Built with Puppeteer and Crawlee for robust browser-based scraping
Uses maxConcurrency: 2 to respect Sephora's servers
Randomized delays between page loads to avoid detection
Handles lazy-loaded product grids with progressive scrolling
Automatic pagination with configurable result limits
Failed requests are logged with error details in the dataset

Author

donnycodesdefi

License

ISC

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