4 Best Amazon Scraping APIs in 2025 (Tested on Speed, documentation, and Scalability)

				
					import requests
import time
import random

# List of (domain, ASIN) tuples
amazon_asin_code = [
    ('com', 'B0CVSJ8YBX'),
    ('com.br', 'B0DGXR6FRP'),
    ('in', 'B0CKN56PQ8'),
    ('ca', 'B0DWFSW47F')
]

base_url = "https://api.example.com/amazon/product"

API_key='your-api-key'
total_requests = 10
success_count = 0
total_time = 0

for i in range(total_requests):
    try:
        domain, asin = random.choice(amazon_asin_code)

        params = {
        "api_key": API_key,
        "domain":domain,
        "country":"us",
        "asin": asin
        }

        start_time = time.time()
        response = requests.get(base_url,params=params)
        end_time = time.time()

        request_time = end_time - start_time
        total_time += request_time

        if response.status_code == 200:
            success_count += 1

        print(f"Request {i+1}: domain={domain}, asin={asin}, time={request_time:.2f}s, status={response.status_code}")

    except Exception as e:
        print(f"Request {i+1} failed due to: {str(e)}")

# Final Stats
average_time = total_time / total_requests
success_rate = (success_count / total_requests) * 100

print(f"\n🔍 Total Requests: {total_requests}")
print(f"✅ Successful: {success_count}")
print(f"⏱️ Average Time: {average_time:.2f} seconds")
print(f"📊 Success Rate: {success_rate:.2f}%")