E-Commerce Product Scraper API — extract product data
Scrape e-commerce product pages using AI-powered autoparse technology. Extract product details, prices, reviews, and metadata automatically with advanced request handling included.
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What is e-commerce product scraping?
Extract product data from e-commerce product pages automatically using Scrappey's advanced autoparse feature. Our AI-powered system intelligently identifies and extracts product information, prices, reviews, and metadata from e-commerce pages.
For e-commerce sites you're authorized to access, our tool renders pages with a real browser and residential IPs for reliable, structured results. Choose between requestType: "request" for fast HTTP requests or requestType: "browser" for full JavaScript rendering.
Perfect for price monitoring, competitor analysis, product research, and market intelligence. Get structured JSON output with product details, pricing, availability, and more – all automatically extracted.
{
"cmd": "request.get",
"url": "https://www.amazon.com/dp/B0BV7BYNYDX",
"requestType": "browser",
"autoparse": true,
"filter": ["autoparse"]
}
// Response:
{
"solution": {
"autoparse": {
"website": {
"name": "Amazon",
"url": "https://www.amazon.com",
"features": { ... },
"promotional_content": { ... }
}
}
}
}Scrape e-commerce product page
Enter an e-commerce product URL and get structured product data automatically
Enter any e-commerce product page URL
Browser mode recommended for JavaScript-heavy pages
AI-powered product data extraction
Auto-Parse Processing
Auto-parse uses multiple AI providers to analyze and extract e-commerce product data. This process may take 10-30 seconds as it goes through multiple providers to ensure the best results and accurate product information.
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Why use Scrappey for e-commerce scraping?
AI-powered, reliable, and perfect for e-commerce data extraction
Advanced Request Handling
Renders dynamic e-commerce content using a real browser and residential IPs for reliable, structured results.
AI-Powered Auto-Parse
Uses multiple AI providers to intelligently extract and structure product data. Automatically identifies prices, reviews, ratings, and product details.
Fast & Reliable
Choose between fast HTTP requests or full browser rendering. Auto-parse processing takes 10-30 seconds for best accuracy on e-commerce pages.
Structured Output
Get clean, structured JSON output with product data, pricing, availability, reviews, and metadata automatically organized and ready to use.
Broad E-Commerce Coverage
Works across e-commerce sites and marketplaces you're authorized to access.
E-Commerce Intelligence
Perfect for price monitoring, competitor analysis, product research, and market intelligence with structured product data extraction.
Simple integration
Scrape e-commerce products with just a few lines of code
import requests
# Scrape e-commerce product with auto-parse
api_url = "https://publisher.scrappey.com/api/v1?key=YOUR_API_KEY"
payload = {
"cmd": "request.get",
"url": "https://www.amazon.com/dp/B0BV7BYNYDX",
"requestType": "browser",
"autoparse": True,
"filter": ["autoparse"]
}
response = requests.post(api_url, json=payload)
data = response.json()
if data.get('solution') and data['solution'].get('autoparse'):
product_data = data['solution']['autoparse']
print(f"Website: {product_data.get('website', {}).get('name', 'N/A')}")
print(f"URL: {product_data.get('website', {}).get('url', 'N/A')}")
# Access structured product data
print(json.dumps(product_data, indent=2))Perfect for
Price Monitoring
Monitor e-commerce product prices in real-time, track price changes, and set up alerts for price drops or increases.
Competitor Analysis
Analyze products, pricing strategies, and market positioning by extracting structured data from e-commerce listings you're authorized to access.
Product Research
Research products, extract specifications, reviews, and ratings to make informed decisions for your e-commerce business.
Market Intelligence
Build comprehensive product databases, track market trends, and analyze product performance across e-commerce categories.
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