🏆 Sephora Reviews & Questions Scraper - The Ultimate Data Extraction Tool

🎯 The Most Complete Sephora Scraper on Apify

This isn't just another Sephora scraper—it's the most comprehensive data extraction solution available. Extract everything you need from Sephora products: detailed information, all variants, hundreds of reviews, customer questions, and advanced time-based statistics that no other scraper provides.

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⚡ Why This Scraper is Different

📊 Advanced Statistics Others Don't Offer

Unlike basic scrapers, we provide time-sensitive metrics that are crucial for market analysis:

• ✅ Verified Reviews Percentage - Know the authenticity rate
• ✅ 30-Day Review Metrics - Track recent customer sentiment
• ✅ 90-Day Review Trends - Analyze quarterly performance
• ✅ Recent Activity Tracking - Monitor product momentum

💎 5 Complete Data Sections Per Product

Section	What You Get	Why It Matters
📦 Info	11 detailed fields including brand, price, description, love count	Complete product overview
🎨 Product Variants	All available variations with images & descriptions	Full catalog coverage
❓ Questions	10-20+ customer questions with all answers	Understand customer concerns
⭐ Reviews	25-300+ detailed reviews per product	Deep sentiment analysis
📈 Statistics	6-7 advanced metrics including time-based data	Track performance trends

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🚀 Key Features That Make Us #1

🎯 Comprehensive Product Information

Extract every detail that matters:

{
  "detail url": "Full product URL",
  "id": "Product ID",
  "name": "Product Name",
  "image": "High-quality product image",
  "description": "Complete description with ingredients",
  "InStock": "Availability status",
  "brand": "Brand name",
  "price": "Current price",
  "love_count": "Customer loves/favorites"
}

🎨 Product Variants - Complete Coverage

Get all product variations:

• Variant IDs and names
• Detailed descriptions with ingredients
• Individual variant images
• Availability status for each variant

❓ Questions & Answers - Full Community Insights

Capture the entire Q&A ecosystem:

• Customer questions with timestamps
• All answers with usernames
• Positive/negative feedback counts for each answer
• Answer dates for trend analysis

Example Output:

{
  "product_id": "P511689",
  "answers_count": 2,
  "question": "Can you apply this over your makeup?",
  "asked_at": "2024-11-18T15:50:48.000+00:00",
  "answers": [
    {
      "answer": "Detailed customer response...",
      "username": "12mckenna12",
      "answered_at": "2025-05-29T10:32:29.000+00:00",
      "positive_feedback_count": 0,
      "negative_feedback_count": 0
    }
  ]
}

⭐ Reviews - The Most Detailed Data Available

Extract hundreds of reviews with complete reviewer profiles:

What Each Review Contains:

• ⭐ Rating (1-5 stars)
• 📝 Review title and full text
• ✅ Recommendation status
• 👍 Positive/negative feedback counts
• 🔒 Verified purchase status
• 📅 Submission date
• 👤 Complete Reviewer Profile:
  • Nickname
  • Skin tone
  • Skin type
  • Eye color
  • Hair color

Example Review:

{
  "rating": 5,
  "review_text": "This product let my concealer go flawless...",
  "review_title": "Great under eye balm!",
  "is_recommended": true,
  "number_of_positive_feedbacks_of_review": 7,
  "submitted_at": "2025-04-11T21:55:00.000+00:00",
  "reviewer_info": {
    "nickname": "LisetteU",
    "skinTone": "Medium",
    "skinType": "Combination",
    "eyeColor": "Brown",
    "hairColor": "Black"
  },
  "is_verified_purchase": false
}

📊 Advanced Statistics - Exclusive Time-Based Metrics

🎯 What Makes Our Statistics Unique:

{
  "VerifiedReviewsPercentage": "12.0%",
  "recent_30d_review_count": 0,
  "average_rating_in_30_days": 0,
  "number_of_reviews_in_90_days": 1,
  "recent_90d_review_count": 0,
  "recent_90d_avg_rating": 5
}

Why These Metrics Matter:

• 📈 Track product momentum - See if a product is gaining or losing popularity
• 🎯 Verify authenticity - Know what % of reviews are verified purchases
• 📊 Analyze trends - Compare 30-day vs 90-day performance
• 🚀 Make informed decisions - Recent data beats historical data for fast-moving markets

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💼 Perfect For

🎯 Use Case	💡 How This Scraper Helps
Market Research	Access to 300+ reviews per product with time-based trends
Competitor Analysis	Track verified review percentages and recent sentiment
Sentiment Analysis	Complete reviewer profiles for demographic insights
Price Monitoring	Current prices with love counts to gauge popularity
Product Development	Q&A section reveals customer pain points and desires
Influencer Research	Identify products gaining momentum (30/90-day metrics)
Customer Persona	Detailed reviewer demographics (skin type, tone, age indicators)

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🔧 Easy Configuration

Scrape Individual Products or Entire Categories

Option 1: Specific Products

{
  "url_list": [
    "https://www.sephora.com/product/refy-beauty-eye-balm-P511689",
    "https://www.sephora.com/product/watermelon-glow-ultra-fine-mist-P442744"
  ],
  "get_reviews": true,
  "get_questions": true
}

Option 2: Complete Categories

{
  "url_list": [
    "https://www.sephora.com/shop/face-mist-face-spray",
    "https://www.sephora.com/shop/eyebrow-makeup-pencils"
  ],
  "get_reviews": true,
  "get_questions": true
}

Configuration Options

Parameter	Type	Description
url_list	Array	Product URLs or category URLs
get_reviews	Boolean	Extract all reviews (recommended: true)
get_questions	Boolean	Extract Q&A section (recommended: true)

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📥 Export Formats

Download your data in any format you need:

• 📄 JSON - Perfect for APIs and databases
• 📊 CSV - Ready for Excel, Google Sheets, or data analysis tools
• 📈 Excel - Formatted spreadsheets with multiple sheets
• 🌐 HTML - Visual reports

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🎁 What You Get That Others Don't

✨ Exclusive Feature	🔥 Competitive Advantage
Time-Based Statistics	30 & 90-day metrics not available in any other scraper
Verified Review %	Assess data quality and authenticity instantly
Complete Q&A Section	Every question with all answers and vote counts
Detailed Reviewer Profiles	Demographics for precise customer persona creation
Massive Review Volume	Extract 300+ reviews per product (vs 50-100 in basic scrapers)
Organized 5-Section Structure	Clean data ready for immediate analysis

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💰 Transparent Pricing

Scraping costs vary based on your needs. Here's how to estimate:

1. ✅ Start with a test run - Try 5-10 products
2. 📊 Calculate your cost - See exactly what you'll pay per product
3. 📈 Scale confidently - Multiply by your total product count
4. 💎 Save with volume - Higher Apify plans = lower per-scrape costs

💡 Pro Tip: Category scraping is more efficient than individual products

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⚖️ Legal & Ethical

✅ 100% Ethical Data Collection

• Only public data extraction
• No personal information (emails, addresses, phone numbers)
• Respects user privacy
• GDPR compliant when used responsibly

⚠️ Your Responsibility:

• Use data ethically and legally
• Comply with your local data protection laws
• Consult legal counsel for commercial use

📖 Read more about web scraping legality

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🚦 Get Started in 3 Steps

1. 📝 Add Your URLs - Products or categories
2. ⚙️ Configure Options - Enable reviews & questions (recommended)
3. ▶️ Run & Download - Get your complete dataset in minutes

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🏆 Why Choose This Scraper?

The Numbers Speak:

• 📦 11 Product Fields - Complete product information
• ❓ 10-20 Questions per product with all answers
• ⭐ 300+ Reviews per popular product
• 📊 7 Statistical Metrics - Including exclusive time-based data
• 🎨 All Variants - Complete product catalog

The Difference:

• ✅ Most comprehensive data structure
• ✅ Exclusive 30/90-day metrics
• ✅ Verified review tracking
• ✅ Complete reviewer demographics
• ✅ Full Q&A extraction
• ✅ Ready-to-analyze format

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🌟 This Is The Sephora Scraper That Has Everything

Stop settling for incomplete data. Get the scraper that gives you:

• ✅ More reviews than any competitor
• ✅ Unique time-based statistics
• ✅ Complete customer demographics
• ✅ Full Q&A sections
• ✅ All product variants
• ✅ Clean, structured data

🚀 Start extracting complete Sephora data today - Choose the #1 scraper on Apify