seodashboardapi

DIY SEO Dashboard Without Enterprise Tax

Build custom SEO dashboard with raw APIs at $50-100/mo instead of $500+ enterprise Ahrefs/SEMrush. Architecture: SERP API + PostgreSQL + chart frontend.

9 min

Ahrefs starts at $129/mo. SEMrush starts at $139.95/mo. If you only need rank tracking and SERP analysis, you are paying for backlink databases, site audits, and keyword research tools you may never touch. A custom SEO dashboard built with raw APIs costs $50-100/mo and covers exactly what you need: rank tracking, AI Overview monitoring, and competitor position changes.

Architecture

The stack is simple: a search API for data collection, PostgreSQL for storage, and a lightweight frontend for visualization. No proprietary platforms, no vendor lock-in.

  • Data layer: DataForSEO queue at $0.0006/query for bulk rank tracking, Scavio at $0.005/query for real-time checks and AI Overview data
  • Storage: PostgreSQL (free on Supabase/Neon up to 500MB)
  • Frontend: any charting library (Recharts, Chart.js) or just Google Sheets
  • Scheduler: GitHub Actions (free for public repos), Railway cron, or a $5 VPS

The data collection layer

Python
import requests, os, psycopg2
from datetime import date

SCAVIO_KEY = os.environ["SCAVIO_API_KEY"]
DB_URL = os.environ["DATABASE_URL"]

def collect_rankings(keywords: list, domain: str):
    """Collect daily rankings and store in PostgreSQL."""
    conn = psycopg2.connect(DB_URL)
    cur = conn.cursor()
    today = date.today().isoformat()

    for kw in keywords:
        resp = requests.post("https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": SCAVIO_KEY},
            json={"query": kw, "include_ai_overview": True})
        data = resp.json()

        position = None
        for i, r in enumerate(data.get("organic_results", [])):
            if domain in r.get("link", ""):
                position = i + 1
                break

        ai_cited = any(domain in s.get("link", "")
            for s in data.get("ai_overview", {}).get("sources", []))

        cur.execute(
            "INSERT INTO rankings (date, keyword, position, ai_cited) VALUES (%s, %s, %s, %s)",
            (today, kw, position, ai_cited))

    conn.commit()
    conn.close()

collect_rankings(["crm for startups", "project management tool"], "yoursite.com")

Cost comparison at scale

  • 50 keywords, daily tracking: 50 x 30 = 1,500 queries/mo. Scavio: $7.50/mo. DataForSEO queue: $0.90/mo
  • 200 keywords, daily: 6,000 queries/mo. Scavio: $30/mo (Project plan). DataForSEO: $3.60/mo
  • 500 keywords, daily: 15,000 queries/mo. Scavio: $53.57/mo (Bootstrap plan). DataForSEO: $9/mo
  • Ahrefs at any scale: $129-$449/mo

What you lose without enterprise tools

No backlink database. No site crawler. No keyword difficulty scores. No competitor gap analysis. If you need those features, pay for Ahrefs. But if your workflow is "track rankings, check AI citations, alert on drops," raw APIs give you the same data at a fraction of the cost. The dashboard you build is exactly the dashboard you need.