# Sephora Product Search Scraper (`stealth_mode/sephora-product-search-scraper`) Actor

Extract comprehensive product data from Sephora.com search results including brand names, prices, ratings, images, and availability. Perfect for price monitoring, market research, and beauty industry analytics across makeup, skincare, and fragrance categories.

- **URL**: https://apify.com/stealth\_mode/sephora-product-search-scraper.md
- **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community)
- **Categories:** Developer tools, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Sephora Product Search Scraper: Extract Beauty Product Data at Scale

### Why Scrape Sephora Product Search Data

Sephora.com is a leading beauty retailer with thousands of products across makeup, skincare, haircare, and fragrance. Search result pages contain essential product information—brand names, pricing, ratings, availability, and images—critical for competitive analysis, price tracking, and market research.

Manually collecting product data across categories, brands, or price points requires endless scrolling and copying. This scraper automates extraction from search pages, delivering structured datasets ready for analysis or integration into pricing tools, inventory systems, or market intelligence platforms.

### What This Scraper Extracts

The Sephora Product Search Scraper processes search result URLs, capturing multiple products per page. Ideal for building product databases across categories or monitoring specific segments.

**Key extracted fields:**

- **Brand Name**: Product manufacturer/brand
- **Display Name**: Product title as shown on Sephora
- **Product ID & Current SKU**: Unique identifiers for tracking
- **Hero Image & Alt Image**: Primary and secondary product photos
- **Rating & Reviews**: Customer rating score and review count
- **On Sale Data**: Sale status and pricing information
- **Target URL**: Direct link to product detail page
- **Pickup Eligible & Same Day Eligible**: Availability flags
- **Swatch Selectors**: Color/shade options available

**Who benefits:** E-commerce businesses track competitor pricing. Market researchers analyze beauty trends. Brand managers monitor product positioning. Price comparison platforms aggregate beauty product data.

### Input Configuration

The scraper processes Sephora search result page URLs—pages showing multiple products after performing a search or filtering by category.

**Example Input:**

```json
{
  "urls": ["https://www.sephora.com/search?keyword=makeup&currentPage=2"],
  "ignore_url_failures": true,
  "max_items_per_url": 50
}
````

**Parameters:**

**urls**: Array of search result URLs. Get these by performing searches on Sephora, applying filters (brand, price, category), then copying URLs. Include pagination parameters (`currentPage=2,3,4...`) for comprehensive extraction.

**ignore\_url\_failures**: Set `true` when scraping multiple URLs—failed pages won't stop execution. Essential for large-scale scraping where some pages may timeout or change.

**max\_items\_per\_url**: Maximum products to extract per URL. Sephora typically shows 60 products per page. Set to 50-60 for complete pages, lower (10-20) for testing.

**Building URL lists:** Perform manual searches on Sephora with desired filters. Copy resulting URLs. For multi-page data, increment `currentPage` parameter (page=1, page=2...).

### Output Structure and Field Definitions

**Sample Output:**

```json
{
  "brand_name": "Armani Beauty",
  "current_sku": {
    "image_alt_text": "Armani Beauty - Mini Luminous Silk Natural Glow Blurring Liquid Foundation with 24HR Wear",
    "is_app_exclusive": false,
    "is_b_i": false,
    "is_limited_edition": false,
    "is_limited_time_offer": false,
    "is_new": false,
    "is_online_only": false,
    "is_sephora_exclusive": true,
    "list_price": "$48.00",
    "sku_id": "2926822",
    "is_bestseller": true
  },
  "display_name": "Mini Luminous Silk Natural Glow Blurring Liquid Foundation with 24HR Wear",
  "hero_image": "https://www.sephora.com/productimages/sku/s2926822-main-zoom.jpg?imwidth=270",
  "alt_image": "https://www.sephora.com/productimages/sku/s2926822-main-zoom.jpg?imwidth=270",
  "on_sale_data": "NONE",
  "pickup_eligible": false,
  "product_id": "P520119",
  "rating": "4.4553",
  "reviews": "2783",
  "same_day_eligible": false,
  "target_url": "/product/mini-luminous-silk-natural-glow-blurring-liquid-foundation-with-24-hour-wear-P520119?skuId=2926822",
  "swatch_selectors": null,
  "from_url": "https://www.sephora.com/search?keyword=makeup&currentPage=2"
}
```

**Brand Name**: Manufacturer/brand (e.g., "FENTY BEAUTY", "Rare Beauty"). Use for brand-level analysis, filtering, and competitive tracking.

**Display Name**: Full product title including variant info (e.g., "Pro Filt'r Soft Matte Longwear Foundation"). Primary search field and product identifier.

**Product ID**: Sephora's unique numeric identifier. Essential for tracking products over time, avoiding duplicates, linking to detail pages.

**Current SKU**: Stock keeping unit identifier. Alternative product identifier, useful for inventory tracking and cross-referencing.

**Hero Image**: Primary product photo URL. Main visual asset for displaying products in apps or websites.

**Alt Image**: Secondary photo URL (often shows product in use or alternate angle). Provides additional visual context.

**Rating**: Average customer rating (typically 0-5 scale). Indicates product quality and customer satisfaction.

**Reviews**: Total review count. Combined with rating, shows product popularity and feedback volume.

**On Sale Data**: Object containing sale status and pricing. Enables price tracking and promotional analysis.

**Pickup Eligible**: Boolean indicating in-store pickup availability. Useful for omnichannel availability analysis.

**Same Day Eligible**: Boolean for same-day delivery availability. Premium fulfillment indicator.

**Target URL**: Direct link to full product page. Enables accessing complete details or feeding into detail page scrapers.

**Swatch Selectors**: Array of color/shade options. Critical for makeup products with multiple variants.

### Step-by-Step Usage

1. **Define target data**: Decide what products to scrape—specific category (skincare), brand (Rare Beauty), or price range. Test searches on Sephora.

2. **Collect URLs**: Copy search result URLs. For comprehensive data, include multiple pages using `currentPage` parameter.

3. **Configure input**: Set `max_items_per_url` based on needs (60 for full pages). Enable `ignore_url_failures` for robustness.

4. **Execute scraping**: Launch via Apify. Processing 5-10 search pages typically completes in 2-4 minutes.

5. **Export data**: Download as JSON (databases), CSV (spreadsheets), or Excel (business reports).

**Pagination strategy**: For large datasets, either include multiple page URLs (`currentPage=1,2,3...`) or increase `max_items_per_url` beyond page size to trigger automatic pagination.

### Strategic Applications

**Price Monitoring**: Track sale\_data across products/brands. Identify pricing patterns, promotional cycles, and competitive positioning.

**Trend Analysis**: Monitor rating and review counts to identify trending products. High reviews indicate popular items worth stocking.

**Brand Intelligence**: Compare brand representation across categories. Track how competitors position products and pricing strategies.

**Inventory Planning**: Use pickup\_eligible and same\_day\_eligible data to understand fulfillment capabilities and stock availability patterns.

**Assortment Analysis**: Analyze swatch\_selectors to understand shade range strategies. Identify gaps in color offerings.

### Best Practices

**Schedule regular scraping**: Beauty market changes rapidly. Weekly scraping captures new launches, price changes, and trend shifts.

**Segment searches**: Create targeted URLs by category, brand, or price rather than broad searches. Produces cleaner, more analyzable datasets.

**Enrich data**: Combine with detail page scraping for complete product info. Cross-reference with social media mentions or search trends.

**Quality checks**: Validate critical fields aren't empty. Flag unusual prices or missing images for review.

**Rate limiting**: Space out large runs (100+ URLs). Sustainable scraping ensures continued access.

### Conclusion

The Sephora Product Search Scraper transforms beauty retail's leading platform into actionable market intelligence. From price tracking to trend analysis, this tool delivers the comprehensive product data needed for competitive advantage in the beauty industry.

# Actor input Schema

## `urls` (type: `array`):

Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.

## `ignore_url_failures` (type: `boolean`):

If true, the scraper will continue running even if some URLs fail to be scraped.

## `max_items_per_url` (type: `integer`):

The maximum number of items to scrape per URL.

## Actor input object example

```json
{
  "urls": [
    "https://www.sephora.com/search?keyword=makeup&currentPage=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.sephora.com/search?keyword=makeup&currentPage=2"
    ],
    "ignore_url_failures": true,
    "max_items_per_url": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("stealth_mode/sephora-product-search-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": ["https://www.sephora.com/search?keyword=makeup&currentPage=2"],
    "ignore_url_failures": True,
    "max_items_per_url": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("stealth_mode/sephora-product-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.sephora.com/search?keyword=makeup&currentPage=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}' |
apify call stealth_mode/sephora-product-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=stealth_mode/sephora-product-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Sephora Product Search Scraper",
        "description": "Extract comprehensive product data from Sephora.com search results including brand names, prices, ratings, images, and availability. Perfect for price monitoring, market research, and beauty industry analytics across makeup, skincare, and fragrance categories.",
        "version": "0.0",
        "x-build-id": "SiezAmTjq36rcx1C6"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/stealth_mode~sephora-product-search-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-stealth_mode-sephora-product-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/stealth_mode~sephora-product-search-scraper/runs": {
            "post": {
                "operationId": "runs-sync-stealth_mode-sephora-product-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/stealth_mode~sephora-product-search-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-stealth_mode-sephora-product-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "urls": {
                        "title": "URLs of the product search list urls to scrape",
                        "type": "array",
                        "description": "Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "ignore_url_failures": {
                        "title": "Continue running even if some URLs fail to be scraped",
                        "type": "boolean",
                        "description": "If true, the scraper will continue running even if some URLs fail to be scraped."
                    },
                    "max_items_per_url": {
                        "title": "Max items per URL",
                        "type": "integer",
                        "description": "The maximum number of items to scrape per URL."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```