6 Best Rank Tracker APIs Tested in 2026 (Speed, Pricing & Accuracy)

    
     import requests
import time
import random
import urllib.parse

# List of search terms
rank_tracking_terms = [
    "best running shoes",
    "digital marketing agency",
    "best cafe in Chicago",
    "seo tools for small business",
    "best rank tracking api"
]
# Replace with your actual API endpoint
# Make sure it includes {query} where the search term should be inserted
base_url = "https://api.example.com/rank-tracker?query={query}"
total_requests = 10
success_count = 0
total_time = 0
for i in range(total_requests):
    try:
        search_term = random.choice(rank_tracking_terms)
        encoded_query = urllib.parse.quote(search_term)  # URL encode the query
        url = base_url.format(query=encoded_query)
        start_time = time.time()
        response = requests.get(url)
        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"\nTotal Requests: {total_requests}")
print(f"Successful: {success_count}")
print(f"Average Time: {average_time:.2f} seconds")
print(f"Success Rate: {success_rate:.2f}%")