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// Scrape any website with Scrpy API
const response = await fetch('https://api.scrpy.co/scrape', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
url: 'https://example.com/products',
selectors: {
title: 'h1.product-title',
price: '.price-value',
description: '.product-desc'
}
})
});
const data = await response.json();
console.log(data); // Structured product dataEverything you need to extract data from any website at scale
Scrpy automatically handles CAPTCHAs, JavaScript rendering, and anti-bot protections so your scraping jobs run reliably.
Built-in proxy rotation ensures high success rates and prevents IP bans while scraping at scale.
Run scraping tasks on demand or schedule them to execute hourly, daily, or weekly.
Export scraped data in JSON, CSV, or via API endpoints ready for integration.
Use Scrpy's REST API to scrape websites programmatically with full control and scalability.
Point and click to select elements you want to scrape. No coding required to get started.
Discover how businesses use Scrpy to automate data extraction
Track competitor prices, monitor product availability, and automate pricing intelligence.
Learn moreCollect job postings from multiple job boards and career sites in real-time.
Learn moreExtract property listings, prices, and market data from real estate platforms.
Learn moreBuild targeted lead lists by scraping business directories and professional networks.
Learn moreGather market intelligence and track competitor activities across the web.
Learn moreGet started in minutes with our simple 4-step process
Paste the URL of the website or page you want to scrape.
Use our visual builder or CSS selectors to define what data to extract.
Execute immediately or set up recurring schedules for automated extraction.
Export in JSON, CSV, or integrate directly with your applications.
Scrpy provides a secure REST API that allows developers to integrate web scraping into any application.
import requests
# Initialize Scrpy API client
api_key = #a5d6ff;">"your_api_key"
base_url = #a5d6ff;">"https://api.scrpy.co/v1"
# Create a scraping job
response = requests.post(
f#a5d6ff;">"{base_url}/scrape",
headers={#a5d6ff;">"Authorization": f"Bearer {api_key}"},
json={
#a5d6ff;">"url": "https://example.com/products",
#a5d6ff;">"selectors": {
#a5d6ff;">"products": {
#a5d6ff;">"selector": ".product-card",
#a5d6ff;">"type": "list",
#a5d6ff;">"fields": {
#a5d6ff;">"name": ".title",
#a5d6ff;">"price": ".price",
#a5d6ff;">"rating": ".stars"
}
}
},
#a5d6ff;">"options": {
#a5d6ff;">"javascript": True,
#a5d6ff;">"proxy": "rotating"
}
}
)
# Get extracted data
data = response.json()
print(f#a5d6ff;">"Scraped {len(data['products'])} products")Enterprise-ready infrastructure you can depend on
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Free plan includes 1,000 API requests/month