TL;DR
Tested 4 Amazon scraping APIs on speed, success, docs & scalability,each hit 100 % success.
Scrapingdog (Amazon Product & Search): fastest (3.55 s avg), economical ($0.20→$0.063 / 1 k), 1 000 free credits, global postal-code targeting,best overall for devs.
Oxylabs: ~5.38 s avg, $1.35→$1.25 / 1 k; solid but slower/costlier than Scrapingdog.
Bright Data (~9 s, $0.90 / 1 k, webhook) and ScraperAPI (9.61 s, $2.45→$0.475 / 1 k, USA-only postal-code targeting) are slower and/or pricier.
Extracting accurate product data from Amazon can open the door to competitive pricing, product trend analysis, and smarter e-commerce strategies. But let’s be honest, scraping Amazon isn’t easy. From rotating proxies to bypassing anti-bot measures, it takes a considerable effort to obtain clean, reliable data at scale.
That’s where Amazon Scraper APIs come in.
Instead of reinventing the wheel, developers and data teams now rely on specialized APIs that handle the heavy lifting, delivering structured Amazon data like product titles, prices, ASINs, reviews, availability, and more.
In this article, we’ll compare some of the best Amazon scraping APIs available today, covering their features, response quality, pricing, ease of use, and who they’re best suited for.
Whether you’re building a price tracker, dropshipping app, or market research tool, this guide will help you pick the right API for the job.
Criteria to Test Amazon Scraper APIs
We will test each product and compare them based on:
Speed
Success rate
Support
Scalability
Developer friendly
We will use this Python code to test various APIs.
1import requests2import time3import random4 5# List of (domain, ASIN) tuples6amazon_asin_code = [7 ('com', 'B0CVSJ8YBX'),8 ('com.br', 'B0DGXR6FRP'),9 ('in', 'B0CKN56PQ8'),10 ('ca', 'B0DWFSW47F')11]12 13base_url = "https://api.example.com/amazon/product"14 15API_key='your-api-key'16total_requests = 1017success_count = 018total_time = 019 20for i in range(total_requests):21 try:22 domain, asin = random.choice(amazon_asin_code)23 24 params = {25 "api_key": API_key,26 "domain":domain,27 "country":"us",28 "asin": asin29 }30 31 start_time = time.time()32 response = requests.get(base_url,params=params)33 end_time = time.time()34 35 request_time = end_time - start_time36 total_time += request_time37 38 if response.status_code == 200:39 success_count += 140 41 print(f"Request {i+1}: domain={domain}, asin={asin}, time={request_time:.2f}s, status={response.status_code}")42 43 except Exception as e:44 print(f"Request {i+1} failed due to: {str(e)}")45 46# Final Stats47average_time = total_time / total_requests48success_rate = (success_count / total_requests) * 10049 50print(f"\n🔍 Total Requests: {total_requests}")51print(f"✅ Successful: {success_count}")52print(f"⏱️ Average Time: {average_time:.2f} seconds")53print(f"📊 Success Rate: {success_rate:.2f}%")👉 By the end of this article, you’ll have a clear idea of which Amazon scraping API best fits your needs and budget.
Scrapingdog
Scrapingdog offers powerful Amazon Scraping APIs. With just a simple GET request, you can collect data from Amazon search and product.
Details
Once you sign up, you get 1000 free credits for testing.
Per scrape cost starts from $0.0002 and drops below $0.000063 with a higher volume.
Scrapingdog APIs support targeted postal code-level scraping for any country, making it easy to retrieve local product pricing with precision.
Scrapingdog provides clear documentation, and any developer can integrate the Amazon APIs easily into their working environment.
Customer support is available 24*7 to help you resolve any query related to the services offered.
Here’s a video walkthrough on how you can use our Amazon Scraper API from Scrapingdog’s dashboard. ⬇️
Testing Amazon Product Pages
Test Summary
The average response time was around 3.55 seconds, and we gota 100% success rate.
ScraperAPI
ScraperAPI also provides a robust solution to scrape Amazon at scale.
Details
ScraperAPI provides 5000 free credits on signup.
It costs around $0.00245 to scrape one Amazon page. The price falls below $0.000475 with high volume.
ScraperAPI also provides price scraping on the basis of any given postal code. But they only support this feature for the USA.
Documentation is very clear and can be easily integrated.
Support is available through email only.
Testing Amazon Product Pages
Test Summary
Average response time was 9.61 seconds with 100% success rate.
Brightdata
Brightdata, as you all know, is the pioneer in this industry. They also provide a dedicated solution for scraping Amazon at scale.
Details
You can sign up and start testing this scraper after a basic KYC.
The pricing per record is around $0.0009, and it remains fixed.
The documentation may be a bit challenging to follow for beginners.
Support is available 24*7 through email.
Test Summary
They use a webhook-based scraping method, which made real-time testing difficult. However, their dashboard claims an average response time of approximately 9 seconds.
Oxylabs
Oxylabs is another scraping solution that can help you scrape Amazon.
Details
You can sign up and test the API for free.
Oxylabs has a vast proxy pool through which it powers its scraping APIs.
The pricing per request starts from $0.00135 and drops below $0.00125 with high volume.
Documentation is clear.
Support is available through email and chat, but their support is not as fast as others.
Testing Amazon Product Pages
Test Summary
Response time was around 5.38 seconds with a success rate of 100%.
Speed Comparison
While all APIs deliver a 100% success rate, Scrapingdog stands out by being nearly 3x faster than Brightdata and ScraperAPI.
Price Comparison
Scrapingdog is the most cost-effective, starting at just $0.20 per 1K requests, and scaling down to $0.063 — ideal for high-volume use cases.
ScraperAPI is the priciest at entry-level, starting at $2.45 per 1K, though bulk usage brings it down to $0.475.
Brightdata keeps it simple with a flat rate of $0.90 per 1K, which is predictable but less flexible.
Oxylabs offers modest discounts, reducing from $1.35 to $1.25 per 1K at higher usage tiers.
Conclusion
✅ All APIs offer 100% success rate, but Scrapingdog stands out with the fastest average response time of 3.55 seconds, nearly 3x quicker than most competitors.
💰 Scrapingdog is also the most cost-effective, starting at just $0.20 per 1K requests and dropping to $0.063/1K at scale.
📉 ScraperAPI and Brightdata are significantly more expensive, especially for large-scale scraping, despite offering slower speeds.
🔄 Oxylabs sits in the middle ground, delivering decent speed and moderate pricing, but still lags behind Scrapingdog in both areas.
🏆 For developers or businesses looking to scrape Amazon efficiently, Scrapingdog offers the best balance of performance, reliability, and affordability.
