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Zenrows vs Scrapingbee vs Scrapingdog: Which One To Choose & Why

zenrows vs scrapingbee vs scrapingdog

Table of Contents

In this post, we’ll walk through a detailed comparison of three popular web-scraping API providers: ZenRowsScrapingBee, and Scrapingdog. We’ll examine pricing, performance, success rates, and key features so you can decide which fits your needs.

We’ll be testing these APIs across multiple domains before sharing our final verdict. This report aims to help you identify the most suitable scraping service for your specific project needs

Criteria To Test These APIs

We are going to scrape a few domains like AmazoneBay, and Google. We will judge each scraper on the basis of these points.

  • Speed
  • Success Rate
  • Support
  • Scalability
  • Developer friendly

We are going to use this Python code to test all the APIs.

				
					import requests
import time
import random
import urllib.parse

# List of search terms
amazon_urls = ['https://www.amazon.de/dp/B0F13KXRG8','https://www.amazon.com.au/dp/B0D8V3N28Z','https://www.amazon.in/dp/B0FHB5V36G','https://www.amazon.com/dp/B0CDJ4LS6X','https://www.amazon.com.br/dp/B0FQHRR7L7/']

ebay_url=['https://www.ebay.it/usr/elzu51','https://www.ebay.com/sch/i.html?_nkw=watch','https://www.ebay.com/itm/324055713627','https://www.ebay.com.au/b/Smarthome/bn_21835561','https://www.ebay.com/p/25040975636']

serp_terms = ['burger','bat','beans','curd','meat']

# Replace with your actual API endpoint
# Make sure it includes {query} where the search term should be inserted
base_url = "https://app.example.com/scrape"


total_requests = 10
success_count = 0
total_time = 0
apiKey=your-api-key
for i in range(total_requests):
    try:
        search_term = random.choice(ebay_url)
        search_term = random.choice(serp_terms)

        

        params = {
    "api_key": apiKey,
    "results": 10,
    "query": search_term,
    "country": "us",
    "advance_search": "true",
    "domain": "google.com"
}

        # params={
        #     'api_key': apiKey,
        #     'search': search_term,
        #     'language': 'en'
        # }



        # url = base_url.format(query=search_term)

        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}: '{search_term}' took {request_time:.2f}s | Status: {response.status_code}")

    except Exception as e:
        print(f"Request {i+1} with '{search_term}' 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}%")
				
			

Let’s first test how Zenrows performs in this test across different platforms.

Zenrows

A platform built for developers to scrape public data at scale. They have been a popular option among the community. Let’s test how this API performs against all of the targets we choose to test.

Feature & Pricing of Zenrows

  • You get free credits worth $1 on signup.
  • The credit cost changes from website to website. But the starting pack will cost you around $70 per month which includes 250000 credits.
  • Documentation is clear and the API can be integrated very easily.
  • Customers can contact them via instant chat support or email.

Test Result with Amazon

Test Result with eBay

Test Results with Google Search

Summary of All Tests (Zenrows)

  • ZenRows achieved a 40% success rate on Amazon, with an average response time of 19.48 seconds.
  • While scraping eBay we got a success rate of 90% with average response time of 3.93 seconds.
  • Scraping Google with ZenRows resulted in a 90% success rate and an average response time of 18.81 seconds.

Scrapingbee

ScrapingBee is a web-scraping API service designed to simplify and streamline data extraction from modern websites.

Features & Pricing of Scrapingbee

  • They offer 1000 free credits on signup.
  • Their basic plan costs around $49 per month and includes 250,000 credits.
  • The documentation is clear, and the APIs can be seamlessly integrated into any development environment.
  • You can contact them via chat support or through email.

Test Results with Amazon

Test Results with eBay

Test Results with Google Search

Summary of All Tests (Scrapingbee)

  • Scrapingbee achieved a 100% success rate on Amazon, with an average response time of 5.82 seconds.
  • While scraping eBay, we got a success rate of 80% with an average response time of 3.85 seconds.
  • Scraping Google with Scrapingbee resulted in a 100% success rate and an average response time of 7.02 seconds.

Read More: How Scrapingdog is a Better Alternative To Scrapingbee

Scrapingdog: A Better Alternative to Zenrows & Scrapingbee

Scrapingdog is a web-scraping API platform that lets you extract data from websites without worrying about proxies, CAPTCHA, or browser automation.

scrapingdog homepage

Features & Pricing of Scrapingdog

  • Scrapingdog provides free 1000 credits on signup.
  • The entry-level plan costs around $40 per month and includes 200,000 credits.
  • The documentation is developer-friendly, making it easy to integrate the API into any project.
  • You can contact us via chat support or by email support.

Test Results with Amazon

 

Test Results with eBay

 

Test Results with Google Search

 

Summary of All Tests (Scrapingdog)

  • Scrapingdog achieved a 100% success rate on Amazon, with an average response time of 4.27 seconds.
  • While scraping eBay, we got a success rate of 100% with an average response time of 3.14 seconds.
  • Scraping Google with Scrapingdog resulted in a 100% success rate and an average response time of 3.49 seconds.

Success Rate Comparison (Zenrows vs Scrapingbee vs Scrapingdog)

Provider Amazon eBay Google
ZenRows 40% 90% 90%
ScrapingBee 100% 80% 100%
Scrapingdog 100% 100% 100%

When comparing success rates across all three APIs, ScrapingDog delivered flawless performance, achieving a 100% success rate on Amazon, eBay, and Google. 

ScrapingBee performed reliably overall, maintaining 100% on Amazon and Google but dropping slightly to 80% on eBay. 

ZenRows, on the other hand, struggled with Amazon, managing only 40% success, though it performed much better on eBay and Google with 90% success each.

Speed Comparison

Provider Amazon eBay Google
ZenRows 19.48 s 3.93 s 18.81 s
ScrapingBee 5.82 s 3.85 s 7.02 s
ScrapingDog 4.27 s 3.14 s 3.49 s

In terms of speed, ScrapingDog once again led the pack with the fastest average response times across all three platforms, staying under 4.5 seconds, even on Google, which is typically the most challenging site to scrape.

 

ScrapingBee demonstrated stable performance, averaging between 3.8 and 7 seconds, but lagged slightly behind on Google. 

ZenRows was considerably slower on Amazon and Google, taking nearly 19 seconds per request, though it performed well on eBay.

Conclusion

After testing all three web scraping APIs, ZenRowsScrapingBee, and ScrapingDog across AmazoneBay, and Google, here’s the takeaway:

  • ScrapingDog consistently came out on top, offering 100% success rates and the fastest response times across all platforms. It’s highly optimized for performance and reliability, making it the best choice for large-scale or production-grade scraping.
  • ScrapingBee delivered strong, stable results with solid success rates and good speed. It’s a balanced option if you prioritize simplicity and consistency.
  • ZenRows performed decently on eBay and Google but struggled significantly with Amazon, both in speed and success rate, suggesting its infrastructure isn’t yet fully tuned for heavy e-commerce scraping.

Additional Resources

My name is Manthan Koolwal and I am the founder of scrapingdog.com. I love creating scraper and seamless data pipelines.
Manthan Koolwal
Manthan Koolwal

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