Sephora Product Scraper
Pricing
from $9.99 / 1,000 results
Sephora Product Scraper
Scrape Sephora products by keyword, including name, brand, price, rating, reviews, image, and product URL. Optionally fetch detailed information such as description, ingredients, usage instructions, size, and loves count.
Pricing
from $9.99 / 1,000 results
Rating
0.0
(0)
Developer
Jamshaid Arif
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
6 days ago
Last modified
Categories
Share
Scrape Sephora products by keyword — name, brand, price, sale price, rating, review count, image, and URL. Optional full-detail enrichment adds description, ingredients, usage, size, and loves count.
Input
| Field | Type | Default | Notes |
|---|---|---|---|
searchQueries | string[] | ["serum"] | Keywords to search. One row per product found. |
maxItemsPerQuery | integer | 120 | Cap products per query (0 = all). |
pageSize | integer | 60 | Results per request (Sephora max is 60). |
fetchProductDetails | boolean | false | Extra request per product for description, ingredients, SKUs, etc. Slower. |
country | string | US | Storefront country. |
proxyConfiguration | object | US Apify proxy | Recommended (see below). |
Example input
{"searchQueries": ["vitamin c serum", "foundation", "Dior"],"maxItemsPerQuery": 120,"pageSize": 60,"fetchProductDetails": false,"country": "US","proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" }}
Output
{"query": "vitamin c serum","product_id": "P472500","name": "C-Firma Fresh Day Serum","brand": "Drunk Elephant","price": "$78.00","sale_price": null,"sku_id": "2360853","rating": 4.3,"reviews": 1420,"image": "https://www.sephora.com/productimages/sku/...-135.jpg","url": "https://www.sephora.com/product/..."}
With fetchProductDetails: true, rows also include description,
ingredients, how_to_use, size, sku_count, and loves_count.
Proxy
Sephora doesn't hard-block, but it rate-limits by IP and serves pricing by region. Use a US Apify proxy (the default) for accurate US prices and to avoid throttling on larger runs. Residential is most reliable; datacenter usually works for light use.