Why Most Guest Post Vetting Is Inefficient
Most SEO teams evaluate guest post opportunities manually — visiting each site, checking authority scores one at a time, and tracking results in a spreadsheet. With hundreds of opportunities, this is not viable.
Building a Guest Post Scoring System
A simple scoring model based on domain metrics:
| Metric | Weight | Minimum |
|---|---|---|
| Domain Rating | 40% | 20+ |
| URL Rating | 30% | 10+ |
| Relevance | 30% | Manual |
Automating the Metric Checks
python
import requests
def score_opportunity(domain, threshold_dr=20, threshold_ur=10):
r = requests.get(
"https://seo.basantasapkota.com/api/seo",
params={"url": domain}
)
data = r.json()
dr = data.get("domain_rating", 0)
ur = data.get("url_rating", 0)
if dr >= threshold_dr and ur >= threshold_ur:
return {"domain": domain, "dr": dr, "ur": ur, "status": "QUALIFIED"}
return {"domain": domain, "dr": dr, "ur": ur, "status": "SKIP"}
# Test
print(score_opportunity("example.com"))What to Do with the Data
Qualified targets (meeting both DR and UR thresholds) go into your outreach queue. Rejected sites get filtered out. This saves your team hours of manual review.