SerpAPI vs Serper vs Scrapingdog: We Tested All Three So You Don’t Have To

				
					import requests
import time
import random
import urllib.parse

# List of search terms
google_serp_terms = ["shoes","burger","corona","cricket","tennis"]

google_scholar_terms = ["biology","cancer","vaccine","tumour","AIDS"]

google_news_terms = ["elon musk","trump","tarrifs","china","india"]

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

total_requests = 10
success_count = 0
total_time = 0

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

        params = {
        "api_key": "your-api-key",

        "query": 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}%")