How to Compare Competitor Keywords Using Python and SerpSpur API

Analyzing competitor traffic and keyword gaps is essential for any SEO strategy. I wrote this function using the SerpSpur Traffic & Competitor Explorer API to compare organic keywords across multiple domains:

python

import requests

API_KEY = "your_api_key_here"

def compare_competitor_keywords(domains, country):

results = {}

for domain in domains:

    response = requests.get(

        f"https://api.serpspur.com/v1/traffic-explorer?domain={domain}&country={country}",

        headers={"Authorization": f"Bearer {API_KEY}"}

    )

    data = response.json()

    results[domain] = [kw["keyword"] for kw in data.get("organic_keywords", [])[:20]]

return results

Example usage

competitors = ["competitor1.com", "competitor2.com"]

country = "US"

keyword_sets = compare_competitor_keywords(competitors, country)

for domain, keywords in keyword_sets.items():

print(f"\n{domain} top keywords:")

for kw in keywords:

    print(f"  - {kw}")

This helps identify keywords your competitors rank for that you don't. I've found it particularly useful for finding low-hanging fruit in niche markets. What's your approach to competitor keyword research?

![ ](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ez88x1gbcyvowgo488vg.png)```