Sephora Reviews Spider

The Sephora Reviews Spider is an Apify Actor designed to scrape customer reviews from Sephora product pages. It extracts detailed review data, including ratings, titles, bodies, user information, and more, enabling businesses and researchers to gather valuable insights into product performance and customer sentiment. This tool is ideal for market analysis, competitive intelligence, and automating data collection from one of the leading beauty retailers.

Features

• Comprehensive Review Extraction: Captures full review details such as ratings, titles, bodies, dates, and user metadata from Sephora product pages.
• High Data Quality: Ensures accurate and structured output with fields like verified purchaser status, incentivized reviews, and employee flags.
• Flexible Input: Accepts multiple URLs and allows limiting the number of items processed for efficient scraping.
• Fast and Reliable: Built on Scrapy for robust performance, handling dynamic web content with minimal errors.
• JSON Output: Delivers clean, machine-readable data suitable for integration into analytics tools or databases.
• No Coding Required: User-friendly interface on Apify Store for easy setup and execution.
• Scalable: Supports batch processing of multiple products, making it suitable for large-scale data collection.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	List of Sephora product URLs to scrape reviews from. Each URL should point to a specific product page.	["https://www.sephora.com/product/lip-sleeping-mask-P420652?skuId=2901072&icid2=homepage_productlist_newarrivals_us_ca_ufe_092022"]
itemLimit	integer	No	Maximum number of reviews to extract per URL. If not specified, it defaults to processing all available reviews.	10

Example Usage

To run the Actor, provide input parameters in JSON format. Here's an example:

{
  "Urls": [
    "https://www.sephora.com/product/lip-sleeping-mask-P420652?skuId=2901072&icid2=homepage_productlist_newarrivals_us_ca_ufe_092022"
  ],
  "itemLimit": 10
}

The output will be a JSON array of review objects, such as:

[
  {
    "Product_Id": "2895316",
    "Review_Id": "376523318",
    "Rating": 4,
    "Title": "A Choco - Must Have!",
    "Body": "After only using this for 3 days (night and day) I have had the softest lips in my whole life! The only reason why it\u2019s not 5 stars is the scent, I love this product but I wish I would have bought the berry one because I like fruity scents more",
    "Source": "Sephora",
    "Full_Review": "A Choco - Must Have!: After only using this for 3 days (night and day) I have had the softest lips in my whole life! The only reason why it\u2019s not 5 stars is the scent, I love this product but I wish I would have bought the berry one because I like fruity scents more",
    "Review_Type": "Product Review",
    "Date": "2026-01-16T21:02:23.000+00:00",
    "Product_Name": "Lip Sleeping Mask ? Intense Hydration Lip Treatment with Vitamin C Hot Cocoa",
    "Skin_Tone": null,
    "Skin_Type": null,
    "Eye_Color": null,
    "Hair_Color": null,
    "Is_Incentivized": "No",
    "Is_Sephora_Employee": "No",
    "User_Nickname": "Roccoandjagger",
    "Verified_Purchaser": true,
    "url": "https://www.sephora.com/product/lip-sleeping-mask-P420652?skuId=2901072&icid2=homepage_productlist_newarrivals_us_ca_ufe_092022",
    "Crawled_Date": "01-17-2026"
  }
]

Use Cases

• Market Research: Analyze customer feedback on beauty products to identify trends and preferences.
• Competitive Intelligence: Compare reviews across similar products from competitors to inform pricing and marketing strategies.
• Price Monitoring: Track sentiment alongside pricing data for dynamic pricing models.
• Content Aggregation: Build databases of user-generated content for blogs, reports, or social media analysis.
• Academic Research: Study consumer behavior in the beauty industry with real-world data.
• Business Automation: Automate review collection for dashboards or alerts on product performance.

Installation and Usage

1. Search for "Sephora Reviews Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs a JSON array of objects, each representing a single review. Key fields include:

• Product_Id: Unique identifier for the product.
• Review_Id: Unique identifier for the review.
• Rating: Numerical rating (e.g., 1-5).
• Title and Body: Review title and content.
• Source: Always "Sephora".
• Full_Review: Concatenated title and body.
• Date: Review timestamp in ISO format.
• Product_Name: Name of the product.
• User details: Nickname, verified purchaser status, employee flags, etc.
• url: Source URL.
• Crawled_Date: Date the data was scraped.

Data is structured for easy parsing and integration.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

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