Sephora Reviews Scraper

Extract customer reviews for any Sephora product at scale. Provide a product URL or product ID and collect detailed review data including ratings, reviewer profiles, helpfulness votes, verified purchaser status, and customer photos. Perfect for sentiment analysis, product research, and competitive intelligence.

Features

• Any Product URL — Paste any Sephora product page URL and reviews are collected automatically
• Product ID Support — Alternatively supply just the product ID (e.g. P449116)
• Full Review Detail — Captures rating, review title, full text, reviewer name, and submission date
• Reviewer Profiles — Collects skin type, skin tone, eye color, and hair color when available
• Verified Purchaser Flag — Identifies reviews from confirmed buyers
• Helpfulness Votes — Captures positive and negative helpfulness counts per review
• Review Photos — Extracts URLs of customer-uploaded photos
• Flexible Sorting — Sort by newest, oldest, most helpful, highest or lowest rated
• Pagination Support — Automatically pages through all available reviews
• Configurable Limits — Control exactly how many reviews to collect
• Proxy Ready — Built-in proxy configuration support for reliable large-scale runs

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Use Cases

Sentiment Analysis

Aggregate hundreds of verified customer reviews to understand how shoppers feel about a product. Identify recurring praise or complaints and map them to specific product attributes like scent, longevity, or packaging.

Competitor Benchmarking

Compare review volume, average ratings, and reviewer feedback across competing products in the same category. Understand what drives high ratings and where competitors fall short.

Product Research & Sourcing

Evaluate product quality before sourcing decisions by analysing authentic customer experiences, skin type fit, and repurchase intent signals hidden in review text.

Brand Monitoring

Track review velocity and sentiment over time for your own brand's products on Sephora. Detect sudden drops in rating that may signal quality or fulfilment issues.

Market Research Reports

Build rich datasets of consumer opinions for cosmetics and fragrance market research reports, academic studies, or investor presentations.

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Input Parameters

Parameter	Type	Required	Default	Description
productUrl	String	Recommended	—	Full Sephora product URL (product ID extracted automatically)
productId	String	Optional	—	Sephora product ID (e.g. P449116). Used if no URL provided
results_wanted	Integer	No	20	Maximum number of reviews to collect
max_pages	Integer	No	10	Safety cap on the number of review pages fetched
sort	String	No	SubmissionTime:desc	Sort order for reviews
proxyConfiguration	Object	No	disabled	Proxy settings for reliable scraping

Sort Options

Value	Description
SubmissionTime:desc	Newest reviews first (default)
SubmissionTime:asc	Oldest reviews first
Helpfulness:desc	Most helpful reviews first
Rating:desc	Highest rated first
Rating:asc	Lowest rated first

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Output Data

Each item in the dataset contains one review with the following fields:

Field	Type	Description
review_id	String	Unique review identifier
product_id	String	Sephora product ID
product_title	String	Product name
product_url	String	Link to the product page
reviewer_name	String	Reviewer username or nickname
rating	Number	Star rating out of 5
title	String	Review headline
review_text	String	Full review body
is_recommended	Boolean	Whether reviewer recommends the product
submission_time	String	ISO datetime of submission
helpful_votes	Number	Positive helpfulness votes
not_helpful_votes	Number	Negative helpfulness votes
total_feedback	Number	Total helpfulness votes
verified_purchaser	Boolean	Confirmed buyer flag
skin_type	String	Reviewer's skin type (if provided)
skin_tone	String	Reviewer's skin tone (if provided)
eye_color	String	Reviewer's eye color (if provided)
hair_color	String	Reviewer's hair color (if provided)
rating_details	Object	Secondary attribute ratings (longevity, value, etc.)
review_photos	Array	URLs of customer review photos
scraped_at	String	ISO timestamp when scraped

Fields with no value from the source are omitted from the output — no null-filled rows in your dataset.

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Usage Examples

Scrape Reviews for a Product by URL

Paste any Sephora product URL and collect the 20 most recent reviews:

{
    "productUrl": "https://www.sephora.com/product/born-in-roma-P449116?skuId=2249696",
    "results_wanted": 20,
    "sort": "SubmissionTime:desc"
}

Collect All Reviews for a Product by ID

Supply a product ID and collect up to 500 reviews sorted by helpfulness:

{
    "productId": "P449116",
    "results_wanted": 500,
    "max_pages": 20,
    "sort": "Helpfulness:desc"
}

Large-Scale Run with Proxies

Collect all available reviews with residential proxy rotation for maximum reliability:

{
    "productUrl": "https://www.sephora.com/product/fragrance-name-P123456",
    "results_wanted": 1000,
    "max_pages": 50,
    "sort": "SubmissionTime:desc",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Lowest Rated Reviews First

Collect 1-star and 2-star reviews for quality monitoring:

{
    "productUrl": "https://www.sephora.com/product/born-in-roma-P449116",
    "results_wanted": 100,
    "sort": "Rating:asc"
}

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Sample Output

{
    "review_id": "237891234",
    "product_id": "P449116",
    "product_title": "Donna Born In Roma Eau de Parfum",
    "product_url": "https://www.sephora.com/product/born-in-roma-P449116?skuId=2249696",
    "reviewer_name": "FragranceLover88",
    "rating": 5,
    "title": "My absolute signature scent",
    "review_text": "I have been wearing this for two years and always get compliments. The longevity is incredible — 8+ hours on my skin. Worth every penny.",
    "is_recommended": true,
    "submission_time": "2025-11-14T18:32:00.000+00:00",
    "helpful_votes": 47,
    "not_helpful_votes": 2,
    "total_feedback": 49,
    "verified_purchaser": true,
    "skin_type": "Combination",
    "skin_tone": "Light",
    "rating_details": {
        "Longevity": 5,
        "Value": 4
    },
    "scraped_at": "2026-05-21T08:45:00.000Z"
}

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Tips for Best Results

Use the Full Product URL

Pasting the complete Sephora product URL (including skuId) is the easiest and most reliable way to start — the product ID is extracted automatically.

Start with a Small Test Run

Set results_wanted to 20 for an initial run to confirm data quality before scaling up to hundreds of reviews.

Use Proxies for Large Runs

For collections over 200 reviews, enabling Apify Residential Proxies in the proxy configuration significantly improves reliability and reduces the chance of rate limiting.

Sort by Helpfulness for Quality Insights

Use Helpfulness:desc to surface the most informative, community-validated reviews — ideal for product research reports.

Monitor Review Velocity

Schedule the actor to run weekly with sort: SubmissionTime:desc and results_wanted: 50 to track new feedback trends over time without re-collecting old reviews.

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Integrations

Connect your review data with:

• Google Sheets — Export CSV for instant pivot table analysis
• Airtable — Build a searchable, filterable review database
• Slack — Get notified when new negative reviews appear via webhook
• Make (Integromat) — Automate sentiment reporting pipelines
• Zapier — Trigger alerts or CRM updates from new review data
• OpenAI / LLMs — Feed review text into AI models for summarisation and theme extraction

Export Formats

• JSON — For developers and API integrations
• CSV — For spreadsheet tools (Excel, Google Sheets)
• XML — For system-to-system data exchange
• Excel — Ready-made business reports

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Frequently Asked Questions

Which Sephora website does this support?

This actor supports the US Sephora website (sephora.com). Product reviews are powered by the BazaarVoice platform used by Sephora.

How do I find the product URL?

Navigate to any Sephora product page in your browser and copy the URL from the address bar. Example: https://www.sephora.com/product/born-in-roma-P449116

How many reviews can I collect?

You can collect all publicly available reviews for any product. Some products have thousands of reviews — use max_pages and results_wanted to cap the run size.

What does the product ID look like?

Sephora product IDs start with P followed by digits, for example P449116. They appear in every product URL.

Are the reviews verified?

The verified_purchaser field indicates whether the reviewer is confirmed to have purchased the product through Sephora.

Can I scrape reviews for multiple products?

To scrape multiple products, simply run the actor multiple times — once per product URL. You can use the Apify Scheduler or API to automate this across a list of product URLs.

Why are some fields missing from a review?

Fields like skin_type, skin_tone, and rating_details are only present when the reviewer provided that information. Missing fields are omitted from the output rather than set to null.

How often is review data updated?

Reviews are collected live from Sephora in real time each time the actor runs. There is no caching — every run fetches fresh data.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs
• Apify Proxy

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring their use complies with Sephora's Terms of Service, BazaarVoice's Terms of Service, and all applicable local and international laws. Collected data should be used responsibly and not redistributed without appropriate permissions. This tool does not bypass authentication and only accesses publicly visible review data.