Skip to main content

Command Palette

Search for a command to run...

5 Best Web Scraping Tools (Ranked By Performance, Stability & Price)

Updated
7 min read

Web Scraping as the name suggests is the process of extracting data from a source on the internet. With so many tools, use cases, and a large market demand, there are a couple of web scraping tools to cater to this market size with different capabilities and functionality.

I have been web scraping for the past 8 years and have vast experience in this domain. In these years, I have tried and tested many web scraping tools (& finally, have made a tool myself too).

In this blog, I have handpicked some of the best web scraping tools, tested them separately, and ranked them.

I am going to test each API on Amazon, Google, & Idealista. Specifically, I have checked the success rate, their pricing, the documentation design, and their response time and depicted my results at the very last.

Let’s Jump in!!

Testing Script

I am going to use this Python code to test all the products in the list.

We will test these APIs on Amazon, Google, and Idealista. Will calculate their success rate, average response time, and per-request credit cost.

In total, 50 requests will be made to each API for each domain. This study will you a clear hint on selecting a web scraping API while starting any data-related project.

import requests
import time
import random

# List of random words to use in the search query
search_terms_amazon = ["https://www.amazon.com/dp/B0CTKXMQXK", "https://www.amazon.com/dp/B0D1ZFS9GH", "https://www.amazon.com/dp/B0CXG3HMX1", "https://www.amazon.com/dp/B0CKM9JVJB/", "https://www.amazon.com/dp/B0BYX1XT81"]
search_terms_idealista = ['https://www.idealista.com/venta-viviendas/torrelavega/inmobiliaria-barreda/','https://www.idealista.com/venta-viviendas/torrelavega/inmobiliaria-barreda/','https://www.idealista.com/venta-viviendas/torrelavega/inmobiliaria-barreda/','https://www.idealista.com/venta-viviendas/torrelavega/inmobiliaria-barreda/','https://www.idealista.com/alquiler-viviendas/malaga-malaga/con-solo-pisos%2Caticos/']
search_terms_google = [
    "pizza", "burger", "sushi", "coffee", "tacos", "salad", "pasta", "steak",
    "sandwich", "noodles", "bbq", "dumplings", "shawarma", "falafel",
    "pancakes", "waffles", "curry", "soup", "kebab", "ramen"
  ];


# base_url = Your-API-URL

total_requests = 50
success_count = 0
total_time = 0

for i in range(total_requests):
    try:
        # Pick a random search term from the list
        search_term = random.choice(search_terms)
        url = base_url.format(query=search_term)

        start_time = time.time()  # Record the start time
        response = requests.get(url)
        end_time = time.time()  # Record the end time

        # Calculate the time taken for this request
        request_time = end_time - start_time
        total_time += request_time

        # Check if the request was successful (status code 200)
        if response.status_code == 200:
            success_count += 1
        print(f"Request {i+1} with search term '{search_term}' took {request_time:.2f} seconds, Status: {response.status_code}")

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

# Calculate the average time taken per request
average_time = total_time / total_requests
success_rate = (success_count / total_requests) * 100

# Print the results
print(f"\nTotal Requests: {total_requests}")
print(f"Successful Requests: {success_count}")
print(f"Average Time per Request: {average_time:.2f} seconds")
print(f"Success Rate: {success_rate:.2f}%")

List of All Web Scraping Tools

Scrapingdog

https://youtu.be/GOxYIfnvB-w

Test Results of Scrapingdog

I tested Scrapingdog on Idealista, Amazon, and Google, and here are the test results.

Amazon

scrapingdog api testing for amazon

Google

scrapingdog result while testing it api for google search

Idealista

test screen

Summary

ScraperAPI

Scraperapi dashboard

  • ScraperAPI also provides robust web scraping and dedicated APIs. It provides dedicated APIs for Google Amazon, etc.

  • The free trial comes with a generous 5000 credits. ScraperAPI also has different credit costs for many websites. So, the pricing will change according to that.

  • You can easily integrate the API into your production environment. You can even test the API directly from the dashboard.

  • Per request, the cost is around $0.0000997 in their Business plan and it goes down with the increase in volume.

  • They do not offer a chat widget but you can mail them to resolve your queries.

    Test Results of ScraperAPI

    Amazon

    test image

    Google

    test image

    Idealista

    test image

    Summary

    Scrapingbee

    Scrapingbee homepage

    • Scrapingbee provides scraping APIs extracting raw HTML data and JSON data through its dedicated APIs. Although it only provides a dedicated API for Google only.

    • The trial pack will provide you with 1000 credits.

    • Documentation is very clear and developers can easily integrate the API in any working environment.

    • Per API credit cost is around $0.000083 in their Business pack.

    • You can contact them via chat widget or email.

      Test Results of Scrapingbee

      Amazon

      test screen

      Google

      test screen

      Idealista

      test screen

Summary

Zenrows

zenrows homepage

  • Zenrows is in web scraping proxies but also provides web scraping APIs.

  • They provide $1 worth of free credits when you sign up. However, they do not follow a credit system, so analyzing the per-request credit is difficult.

  • Documentation is quite informative; any developer could integrate their proxy or API.

  • Per API credit cost is $0.00008.

  • Both email and chat support are available on the website.

    Test Results of Zenrows

    Amazon

    test screen

    Google

    test screen

    Idealista

    test screen

    Summary

    Firecrawl

    Firecrawl

    • Firecrawl is a new web scraping product which povides a general endpoint for scraping websites.

    • They provide 500 credits for free on signup. These credits can be used for testing the service quality.

    • Documentation is well written and can be easily integrated with any working environment.

    • Per credit cost starts from $0.566 and drops below $0.072 with high volume.

    • You can contact them via chat support or email.

      Test Results of Firecrawl

      Amazon

      Amazon test result

      Google

      google test result

      Idealista

      Summary

      Final Verdict

      This graph is showing the overall success rate offered by each API. Clearly Scrapingdog, ScraperAPI and Firecrawl provides the best scraping solution.

      But if you consider the cost as well then the clear choice would be Scrapingdog. Across all three platforms Amazon, Google, and Idealista, Scrapingdog consistently outperformed every other scraping API in both reliability and cost efficiency. While Firecrawl delivered fast responses, its pricing at $0.566 per credit makes it commercially impractical. ScraperAPI and Scrapingbee maintained good success rates but were notably slower and significantly more expensive, especially on Google where response times exceeded 8–20 seconds. Zenrows, on the other hand, struggled with reliability, failing entirely on Idealista and showing poor consistency across tests.

      Scrapingdog achieved 100% success rates, the fastest average time on Google (2.96s), and did so at a fraction of the cost. As low as $0.000067 per request. Overall, it clearly delivers the best balance of performance, stability, and affordability among all tested providers.

      Conclusion

      There were many other web scraping APIs, however to keep the article concise and knowledgeable we kept it to the best of what we found.

      The comparisons we have done are for you to dig down into when you would scale any scraping process. On the surface, each API mentioned here would work as well.

      If you would scale the process to some millions, then the stats given here would help you determine the choice as per your needs.

      Happy Scraping!!

Frequently Asked Questions

(1) Can these tools be used to scrape prices as well?

Yes, these tools can be used to scrape prices from e-commerce platforms as well. If you want to scrape prices for a SaaS product, you can use our AI Scraper API to extract the prices by just prompting.

(2) Can I scrape Amazon data from This API?

Yes, most of these tools can extract the HTML of the Amazon Product page. If you want data in a structured format from this very platform, you can check out the best Amazon scraping APIs.

Additional Resources