TL;DR
TL;DR: SEO Score API gives developers 82 SEO checks in a single API call — on-page, performance, accessibility, and AI-readability scoring — with SDKs for Python, Node, n8n, and GitHub Actions.
Source and Accuracy Notes
- Official site: https://seoscoreapi.com
- API docs: https://seoscoreapi.com/docs
- GitHub Actions integration: https://seoscoreapi.com/github-actions
What Is SEO Score API?
SEO Score API is a free developer-focused SEO audit tool that runs 82 checks against any URL and returns a structured JSON response. Checks cover on-page SEO, page performance, accessibility, AI readability, and SXO/AEO/AIO scoring dimensions.
The API is designed for automation: CI/CD pipelines, content workflows, and builder tools that need to validate SEO health without opening a browser.
Setup Workflow
Step 1: Get an API Key
Sign up at seoscoreapi.com — no credit card required. Free tier includes a generous daily call limit suitable for local development and small projects.
Step 2: Run Your First Audit
curl -X GET "https://seoscoreapi.com/v1/score?url=https://example.com" \
-H "Authorization: Bearer YOUR_API_KEY"
A successful response looks like:
{
"url": "https://example.com",
"overall_score": 72,
"on_page_score": 68,
"performance_score": 81,
"accessibility_score": 75,
"ai_readability_score": 64,
"sxo_score": 70,
"checks": [
{ "id": "meta-title-length", "status": "pass", "score": 10 },
{ "id": "image-alt-text", "status": "fail", "score": 0, "message": "3 images missing alt text" }
],
"audited_at": "2026-06-14T19:15:00Z"
}
Step 3: Integrate with Python SDK
pip install seoscoreapi
from seoscoreapi import SEOClient
client = SEOClient(api_key="YOUR_API_KEY")
result = client.audit("https://example.com")
print(f"Score: {result.overall_score}/100")
print(f"Failed checks: {[c['id'] for c in result.checks if c['status'] == 'fail']}")
Step 4: GitHub Actions Integration
Add SEO audits to your CI pipeline:
# .github/workflows/seo-audit.yml
- name: Run SEO Audit
run: |
curl -s -X GET "https://seoscoreapi.com/v1/score?url=${{ env.SITE_URL }}" \
-H "Authorization: Bearer ${{ secrets.SEO_API_KEY }}" \
| jq '.overall_score'
Deeper Analysis
What sets it apart: Most SEO tools are GUI-first dashboards. SEO Score API is built for developers who want programmatic, scriptable SEO checks — ideal for content pipelines, site generators, and automated QA.
Scoring dimensions:
- On-page SEO — meta tags, heading hierarchy, canonical URLs, structured data
- Performance — Core Web Vitals signals, render-blocking resources
- Accessibility — ARIA labels, color contrast, keyboard navigation readiness
- AI readability — Flesch-Kincaid, sentence length, paragraph density
- SXO/AEO/AIO — Search Experience Optimization, Answer Engine Optimization, Index Engine Optimization signals
SDK availability: Python, Node.js, n8n node, and GitHub Actions official integration. Community SDKs may exist for other languages.
Practical Evaluation Checklist
- [ ] API returns structured JSON within 5 seconds for a standard page
- [ ] Response includes actionable
checksarray with pass/fail per rule - [ ] Overall score aligns with manual audit in another tool (e.g., Ahrefs, Screaming Frog)
- [ ] Python SDK correctly surfaces all 5 scoring dimensions
- [ ] GitHub Actions workflow passes with a passing score threshold
- [ ] Free tier limits are clearly documented and sufficient for dev workflows
Security Notes
- API key is passed via
Authorization: Bearerheader — never in query parameters - No storage of audited URLs on the service side (stateless audit)
- HTTPS enforced for all API calls
- Rate limiting is per-key; implement exponential backoff if you hit 429s
FAQ
Q: Is the free tier sufficient for production use? A: The free tier has a daily call limit (check seoscoreapi.com for current limits). For high-volume production use, the paid tier is required. The free tier is designed for development, CI workflows, and small sites.
Q: Does it crawl JavaScript-rendered pages? A: The API performs a server-side fetch. Heavily JavaScript-dependent pages may not render fully — test your specific use case. For SPA sites, you may need to provide a pre-rendered URL or use a rendering service upstream.
Q: How does the score compare to Ahrefs or Screaming Frog? A: SEO Score API uses a similar rule set but a different weighting model. Treat it as a relative indicator, not an absolute truth. Use it for trend tracking and CI pass/fail gates rather than authoritative rankings.
Q: Can I audit multiple URLs in bulk? A: Yes — loop over your URL list and call the API per URL. For large batches, implement concurrency limits to stay within rate limits.
Conclusion
SEO Score API fills a gap for developers who want SEO validation embedded in their workflows rather than bolted onto a dashboard. The 82-check model, free tier, and GitHub Actions integration make it a practical addition to any content or site-quality pipeline.
If you are already using Screaming Frog or Ahrefs for manual audits, SEO Score API complements those tools for automated, scripted checks in CI.
Related Posts
dev-tools
Automotive Skills Suite for AI Engineering
Evaluate Automotive Skills Suite for APQP, ASPICE, HARA, safety-plan, and DIA workflows with setup notes, governance risks, and SME review guidance.
5/28/2026
dev-tools
awesome-agentic-ai-zh Roadmap Guide
Explore awesome-agentic-ai-zh as a Chinese agentic AI learning roadmap, with setup notes, track selection, study workflow, and evaluation guidance.
5/28/2026
dev-tools
Baguette iOS Simulator Automation Guide
Set up Baguette for iOS Simulator automation, web dashboards, device farms, gesture input, streaming, and camera testing with Xcode caveats.
5/28/2026