Analyzing competitor traffic and keywords is crucial for SEO, but many tools are expensive. SerpSpur's Traffic & Competitor Explorer gives you organic keyword data, traffic estimates, and market breakdowns for any domain. I've been using it to track competitors across different countries. Here's a Python script to pull traffic data via their API:
python
import requests
def get_traffic_data(domain):
url = f"https://serpspur.com/api/traffic-explorer?domain={domain}"
response = requests.get(url)
if response.status_code == 200:
data = response.json()
print(f"Monthly visits: {data['traffic']}")
print(f"Top keywords: {data['keywords'][:5]}")
else:
print("Error")
get_traffic_data("competitor.com")
For a full competitor analysis without coding, visit SerpSpur. It's a practical tool for any SEO workflow.
Top comments (2)
Interesting approach! I've been using Similarweb for competitor analysis, but the API integration here looks cleaner. How accurate have you found the traffic estimates compared to actual analytics data?
Pulling competitor traffic data via a simple API call is super handy for automated SEO reports. How does the tool handle accuracy for low-traffic domains or niche keywords?