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Amazon Product Scraper

Pricing

from $0.00005 / actor start

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Amazon Product Scraper

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

Akash Kumar Naik

Maintained by Community

Actor 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 CaseDescription
Price MonitoringTrack product prices over time, detect discount patterns, and analyze pricing strategies
Market ResearchAnalyze product trends, category performance, and competitive positioning
Competitor IntelligenceMonitor competitor products, pricing, and customer feedback
AI Training DataBuild datasets for e-commerce AI models, product classification, and sentiment analysis
RAG PipelinesEnrich knowledge bases with up-to-date product information and verified reviews
Lead GenerationIdentify 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.

EventPriceDescription
Product Scraped$0.005Successfully scraped product details including title, price, rating, images, and specifications
Residential Proxy Used$0.005Enhanced 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)

  • 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

SpecificationValue
Memory256MB default, 512MB recommended
Timeout5 minutes default
Data FormatJSON
Proxy SupportApify Proxy (residential/datacenter)
Rate LimitingAutomatic with exponential backoff
Session ManagementAutomatic 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