Keyword research becomes much more challenging when you're targeting multiple countries. Search volume, CPC, keyword difficulty, and competition levels can vary significantly between regions, making it difficult to identify the best opportunities manually.
For a recent SEO project, I needed a faster way to compare keyword opportunities across different markets. Instead of checking each keyword individually, I used the SERPSpur API with Python to automate the process.
Why Compare Keywords Across Countries?
When expanding into international markets, relying on data from a single country can lead to missed opportunities. A keyword that's highly competitive in the United States might have lower competition and similar search volume in Canada, Australia, or the United Kingdom.
Analyzing keyword metrics across regions helps you:
Discover untapped keyword opportunities
Identify low-competition markets
Compare CPC values for PPC campaigns
Prioritize content creation efforts
Improve international SEO strategies
Python Script for Keyword Analysis
import requests
API_KEY = "your_api_key_here"
def analyze_keywords(keywords, country):
response = requests.get(
"https://api.serpspur.com/v1/keyword-research",
headers={"Authorization": f"Bearer {API_KEY}"},
params={
"keywords": keywords,
"country": country,
"metrics": [
"volume",
"cpc",
"difficulty",
"competition"
]
}
)
data = response.json()
return [
{
"keyword": kw["keyword"],
"volume": kw["search_volume"],
"cpc": kw["cpc"],
"difficulty": kw["difficulty"],
"competition": kw["ads_competition"]
}
for kw in data["results"]
]
Example usage
keywords = [
"SEO tools",
"keyword research",
"backlink analysis"
]
results = analyze_keywords(keywords, "US")
for r in results:
print(
f"{r['keyword']}: "
f"Volume={r['volume']}, "
f"CPC=${r['cpc']}, "
f"Difficulty={r['difficulty']}%"
)
What This Script Does
The script pulls key SEO metrics for a list of keywords, including:
Search Volume
Cost Per Click (CPC)
Keyword Difficulty
Advertising Competition
By changing the country parameter, you can instantly compare keyword opportunities across multiple regions.
Key Insights from International Keyword Research
One interesting discovery was that several keywords with high competition in the US had significantly lower difficulty scores in other English-speaking countries while maintaining decent search volume.
This allowed us to:
Target easier ranking opportunities
Reduce content production risk
Generate quicker organic traffic gains
Expand SEO efforts into underserved markets
Practical Use Cases
This workflow can be useful for:
International SEO campaigns
SaaS marketing teams
Affiliate marketers
Content agencies
E-commerce businesses targeting multiple countries
Final Thoughts
Automating keyword research saves time and helps uncover opportunities that manual analysis often misses. Combining Python with the SERPSpur API makes it easy to collect and compare SEO data across multiple countries, helping you make more informed content and marketing decisions.
Have you compared keyword metrics between countries in your niche? I'd love to hear what differences you've discovered and how they influenced your SEO strategy.
Top comments (2)
Multi-country keyword analysis is a game-changer for international SEO. I've noticed that search intent can vary wildly even for the same term across borders—like "football" meaning NFL vs soccer. Did you find any surprising regional differences in competition levels for your niche?
This is super practical for anyone running international SEO. I've noticed that search volume and competition can flip dramatically between the US and UK for seemingly the same term—definitely worth running comparisons like this before committing to content.