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kevincarroll
kevincarroll

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Building an Affordable SEO Toolkit in Python Using SERPSpur API

If you've ever used Semrush or Ahrefs, you know the sticker shock. I've been exploring an alternative that covers the essentials without the premium price tag. Here's a Python snippet that uses the SERPSpur API to pull a comprehensive site analysis—traffic estimates, keyword rankings, site health, and backlink gaps—all in one call:

python
import requests

API_KEY = "your_api_key_here"

def analyze_site(domain):
response = requests.get(
"https://api.serspur.com/v1/site-analysis",
headers={"Authorization": f"Bearer {API_KEY}"},
params={"domain": domain, "include": "traffic,keywords,health,backlinks"}
)
data = response.json()
print(f"Domain: {data['domain']}")
print(f"Traffic: {data['traffic']['estimated_monthly']}")
print(f"Top Keywords: {[kw['keyword'] for kw in data['keywords'][:5]]}")
print(f"Site Health Score: {data['health']['score']}")
print(f"Backlink Gap Count: {len(data['backlinks']['gaps'])}")
return data

Example usage

analyze_site("example.com")

This gives you a quick snapshot without bouncing between tools. I've found it particularly useful for competitor analysis on a budget. What features do you consider must-haves in an SEO toolkit?

Top comments (2)

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emma-watson3 profile image
Emma Watson

Great point about cost. For me, the must-haves are accurate keyword difficulty scores and backlink gap analysis—those are the hardest to find in budget tools. How does this API's backlink data compare to Majestic's freshness?

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emma-watson3 profile image
Emma Watson

Nice to see a budget-friendly alternative for site analysis. For me, being able to track keyword position changes over time is a must-have—does this API offer historical data or just a snapshot? Also curious how accurate the traffic estimates are compared to Semrush.