Amazon Product Scraper
Pricing
from $0.00005 / actor start
Amazon Product Scraper
Amazon scraper that extracts comprehensive product data, including pricing, ratings, images, reviews, and seller offers. Perfect for price monitoring, market research, and competitive analysis.
Pricing
from $0.00005 / actor start
Rating
0.0
(0)
Developer
Akash Kumar Naik
Maintained by CommunityActor stats
1
Bookmarked
25
Total users
2
Monthly active users
19 days ago
Last modified
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Extract comprehensive product data from Amazon at scale with advanced anti-blocking protection. Built for price monitoring, market research, competitive analysis, and AI-powered e-commerce applications.
Key Features
- Comprehensive Data Extraction: Product titles, pricing, ratings, review counts, specifications, feature bullets, and high-resolution images
- Customer Reviews: Extract verified customer reviews with ratings, text, author information, and purchase verification status
- Smart Anti-Detection: Rotating user-agents, residential proxies, session management, and human-like request delays
- Variant Detection: Identify and extract product variants (size, color, style options)
- AI & LLM Ready: Structured JSON output optimized for AI training data, RAG pipelines, and model integration
- Pay-Per-Event Pricing: Transparent, usage-based billing — pay only for successful events
Use Cases
| Use Case | Description |
|---|---|
| Price Monitoring | Track product prices over time, detect discount patterns, and analyze pricing strategies |
| Market Research | Analyze product trends, category performance, and competitive positioning |
| Competitor Intelligence | Monitor competitor products, pricing, and customer feedback |
| AI Training Data | Build datasets for e-commerce AI models, product classification, and sentiment analysis |
| RAG Pipelines | Enrich knowledge bases with up-to-date product information and verified reviews |
| Lead Generation | Identify best-selling products, analyze customer preferences, and find market opportunities |
Output Schema
Each scraped product includes comprehensive data:
{"title": "PlayStation 5 Console (Digital Edition)","asin": "B0CL61F39H","url": "https://www.amazon.com/dp/B0CL61F39H","price": "$449.99","rating": 4.7,"ratingCount": 12847,"featureBullets": ["Digital Edition", "8K gaming", "Ray tracing"],"images": ["https://...image1.jpg", "https://...image2.jpg"],"reviews": [{"rating": 5,"title": "Best console I've ever owned","review": "Incredible graphics and load times...","author": "John D.","verifiedPurchase": true,"reviewDate": "2024-01-15"}],"scrapedAt": "2024-02-20T10:30:00Z"}
Pricing
Pay-Per-Event Model — Transparent, usage-based pricing. You only pay for successful events.
| Event | Price | Description |
|---|---|---|
| Product Scraped | $0.005 | Successfully scraped product details including title, price, rating, images, and specifications |
| Residential Proxy Used | $0.005 | Enhanced proxy usage for higher success rate and reduced blocking |
Example Cost Calculation:
- Scraping 100 products with residential proxy:
- Product scraped: 100 × $0.005 = $0.50
- Residential proxy: 100 × $0.005 = $0.50
- Total: $1.00
Input Parameters
Product URL (Required)
Single Amazon product URL to scrape (e.g., https://www.amazon.com/dp/B0CL61F39H)
Proxy Configuration (Recommended)
- Residential Proxies: Best success rate for Amazon scraping
- Datacenter Proxies: Faster but higher blocking risk
Max Reviews (Optional)
Maximum reviews to extract per product (default: 10, max: 50)
Include Images (Optional)
Include high-resolution product images in output (default: true)
Technical Specifications
| Specification | Value |
|---|---|
| Memory | 256MB default, 512MB recommended |
| Timeout | 5 minutes default |
| Data Format | JSON |
| Proxy Support | Apify Proxy (residential/datacenter) |
| Rate Limiting | Automatic with exponential backoff |
| Session Management | Automatic rotation every 15 requests |
Data Compliance
This Actor extracts publicly available data from Amazon. Users must ensure:
- Compliance with Amazon's Terms of Service
- Adherence to local data protection laws (GDPR, CCPA, etc.)
- Appropriate use cases for extracted data
- Respect for rate limits and scraping etiquette