Sephora Product Scraper

Extract complete product listings from Sephora category pages with pricing, ratings, reviews, stock status, and direct product links. Build reliable datasets for beauty market research, pricing visibility, and merchandising intelligence across any Sephora category.

Features

• Complete product data - Collect brand, title, prices, ratings, review counts, shade information, stock status, and product type from every listing
• Duplicate-safe output - Built-in product-level deduplication prevents repeated records across paginated pages
• Stock awareness signals - Capture in-stock and low-stock flags to track product availability
• Clean dataset structure - Empty fields are automatically omitted to keep output analysis-ready
• Automatic pagination - Continues through listing pages until your target count is reached

Use Cases

Pricing Intelligence

Track current and original prices across categories to monitor discount patterns and promotional behavior. Identify price changes between scheduled runs.

Merchandising Analysis

Analyze new and exclusive product flags to understand launch timing and campaign focus. Track product nature classifications and brand positioning.

Inventory Monitoring

Monitor stock status changes across product ranges. Identify low-stock items and track availability patterns over time.

Category Research

Compare product mix, shade depth, pricing structure, and brand distribution across different Sephora categories for competitive benchmarking.

---

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	Sephora new makeup URL	Sephora category page to start scraping from
results_wanted	Integer	No	20	Maximum number of products to collect
max_pages	Integer	No	10	Safety cap on listing pages to visit
proxyConfiguration	Object	No	Apify default	Proxy settings for reliable collection

---

Output Data

Each dataset item can include:

Field	Type	Description
product_id	String	Stable Sephora product identifier
brand	String	Brand name
title	String	Product title
image_url	String	Product image URL
product_url	String	Product detail page URL
current_price	Number	Current listed price
original_price	Number	Original price when on sale
currency	String	Currency code (typically AED)
rating	Number	Average customer rating
review_count	Integer	Number of customer reviews
shades	String	Shade or variant count label
is_new	Boolean	New arrival badge indicator
is_exclusive	Boolean	Sephora exclusive badge indicator
in_stock	Boolean	Product availability status
is_low_stock	Boolean	Low stock warning indicator
product_type	String	Product type classification
product_nature	String	Product nature or formulation category
scraped_at	String	ISO timestamp of extraction

---

Usage Examples

Quick Validation Run

Collect a small sample to verify settings:

{
  "results_wanted": 20,
  "max_pages": 3
}

Full Category Extraction

Scrape an entire category with all available products:

{
  "startUrl": "https://www.sephora.me/ae-en/shop/skincare/view-all/skincare",
  "results_wanted": 500,
  "max_pages": 20
}

Proxy-Enabled Collection

Use residential proxies for larger or recurring runs:

{
  "startUrl": "https://www.sephora.me/ae-en/shop/makeup/face",
  "results_wanted": 100,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

---

Sample Output

{
  "product_id": "P10064328",
  "brand": "HUDA BEAUTY",
  "title": "Liquid Matte Mousse",
  "image_url": "https://img-product.sephora.me/dw/image/v2/BKWK_PRD/on/demandware.static/-/Sites-masterCatalog_Sephora/default/dwce76b30f/images/hi-res/SKU/SKU_7634/818919_swatch.jpg",
  "product_url": "https://www.sephora.me/ae-en/p/liquid-matte-mousse/P10064328",
  "current_price": 125,
  "currency": "AED",
  "rating": 4.59,
  "review_count": 41,
  "shades": "8 shades",
  "is_new": true,
  "is_exclusive": true,
  "in_stock": true,
  "is_low_stock": false,
  "product_type": "master",
  "scraped_at": "2026-07-19T09:18:27.133Z"
}

---

Tips for Best Results

Start With Small Batches

Use results_wanted between 20 and 50 for initial validation. Gradually increase for production snapshots.

Use Stable Category URLs

Prefer permanent Sephora category URLs over short-lived campaign links for consistent, repeatable runs.

Enable Proxies for Scale

Residential proxy groups help maintain reliability when collecting large datasets or running frequent schedules.

---

Integrations

Connect your collected data with:

• Google Sheets - Build tracking dashboards from exported product data
• Airtable - Create searchable product intelligence bases
• Zapier - Trigger downstream automations when new runs finish
• Make - Route scraped data into CRM, BI, or reporting workflows
• Webhooks - Push dataset events to custom services

Export Formats

• JSON - Great for APIs and pipelines
• CSV - Spreadsheet-friendly format
• Excel - Business reporting and sharing
• XML - System interoperability

---

Frequently Asked Questions

Can I scrape categories other than new makeup?

Yes. Set startUrl to any Sephora category listing URL. The actor automatically detects the category from the URL path.

What stock information is available?

The output includes in_stock and is_low_stock boolean fields that reflect real-time product availability from the listing data.

Why are some fields missing in certain rows?

If the source does not provide a value, that field is omitted from the record to keep the output clean and analysis-ready.

Does the actor handle duplicate products?

Yes. Product-level deduplication by product ID and URL is applied before saving any records.

How many products can I collect per run?

You can scale via results_wanted and max_pages based on category size. Most categories return results within seconds.

Can I schedule recurring runs?

Yes. You can schedule regular runs directly from the Apify platform for ongoing market monitoring.

---

Support

For bug reports or feature requests, use the Apify Console issue and contact options for this actor.

---

Legal Notice

This actor is intended for legitimate data collection and analysis. You are responsible for complying with applicable laws and website terms when using scraped data.