5 Best Web Scraping APIs in 2025 (Fast, Scalable & Easy to Use)

				
					import requests
import time
import random
import urllib.parse

# List of search terms
amazon_urls = ["https://www.amazon.com/dp/B0CVSJ8YBX/","https://www.amazon.es/s?k=monitores","https://www.amazon.com.br/dp/B0DGXR6FRP/","https://www.amazon.in/s?k=air+conditioner","https://www.amazon.es/s?k=rigoberta+bandini"]

idealista_urls = ["https://www.idealista.com/inmueble/103157156/","https://www.idealista.com/venta-viviendas/barcelona/sarria-sant-gervasi/sant-gervasi-galvany/","https://www.idealista.com/venta-viviendas/torrelavega/inmobiliaria-barreda/","https://www.idealista.com/venta-viviendas/segovia-segovia/","https://www.idealista.com/venta-viviendas/torrelavega/inmobiliaria-barreda/"]

glassdoor_urls = ["https://www.glassdoor.com/Job/new-york-python-jobs-SRCH_IL.0%2C8_IC1132348_KO9%2C15.htm?clickSource=searchBox","https://www.glassdoor.com/Reviews/Glassdoor-Reviews-E100431.htm","https://www.glassdoor.com.au/Salary/Reserve-Bank-of-Australia-Salaries-E8214.htm","https://www.glassdoor.com/Job/texas-us-data-engineer-jobs-SRCH_IL.0%2C8_IS1347_KO9%2C22.htm?includeNoSalaryJobs=true","https://www.glassdoor.co.in/Overview/Working-at-Eni-Spa-EI_IE3164.11,18.htm"]

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

total_requests = 10
success_count = 0
total_time = 0

for i in range(total_requests):
    try:
        search_term = random.choice(amazon_urls)

        params = {
        "api_key": "your-api-key",
        "dynamic":"false",
        "url": search_term
        }

        # 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}%")