The Problem
Monitoring competitor search rankings manually is tedious and inconsistent. SEO teams check a handful of keywords weekly, miss ranking changes between checks, and have no systematic way to track when competitors gain or lose positions for high-value keywords. Enterprise SERP tracking tools solve this but cost $100-500/month and are overkill for focused competitor monitoring.
The Scavio Solution
Build an automated pipeline that queries Scavio's Google endpoint daily for your tracked keywords, parses the organic results for competitor domains, and stores the rankings in a database or spreadsheet. Set up alerts for significant changes: a competitor entering the top 5, your domain dropping below position 10, or a new domain appearing for a keyword you dominate. The pipeline runs as a cron job or n8n workflow and costs a fraction of enterprise tools because you only pay per query via Scavio's credit-based pricing.
Before
Before automated tracking, the SEO team manually checked 30 keywords every Monday. They missed a competitor's content push that claimed 4 top-5 positions mid-week, only discovering it the following Monday when organic traffic had already dropped 12%.
After
After implementing automated tracking with Scavio, ranking changes trigger Slack alerts within 24 hours. The team detected a competitor's content push the same day it happened and published a counter-article before the competitor's rankings consolidated.
Who It Is For
SEO teams and marketers who need daily competitor ranking visibility without paying for enterprise SERP tracking platforms.
Key Benefits
- Daily automated ranking checks for all tracked keywords
- Competitor domain alerts for top-N position changes
- Credit-based pricing instead of flat monthly enterprise fees
- Exportable data for custom dashboards and reports
- Easy to extend with AI Overview citation tracking
Python Example
import requests, os, json
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
KEYWORDS = ['best crm 2026', 'project management software', 'invoice tool small business']
COMPETITORS = ['competitor1.com', 'competitor2.com']
def track_rankings(keywords: list) -> list:
report = []
for kw in keywords:
resp = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': kw}, timeout=10)
for i, r in enumerate(resp.json().get('organic', [])[:20], 1):
domain = r.get('link', '').split('/')[2] if '/' in r.get('link', '') else ''
if any(c in domain for c in COMPETITORS):
report.append({'keyword': kw, 'position': i, 'domain': domain, 'title': r['title']})
return report
for r in track_rankings(KEYWORDS):
print(f"[{r['position']}] {r['domain']} - {r['keyword']}")JavaScript Example
const KEYWORDS = ['best crm 2026', 'project management software'];
const COMPETITORS = ['competitor1.com', 'competitor2.com'];
async function trackRankings(keywords) {
const report = [];
for (const kw of keywords) {
const resp = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST',
headers: { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' },
body: JSON.stringify({ platform: 'google', query: kw })
});
const data = await resp.json();
(data.organic || []).forEach((r, i) => {
const domain = new URL(r.link).hostname;
if (COMPETITORS.some(c => domain.includes(c))) report.push({ keyword: kw, position: i + 1, domain, title: r.title });
});
}
return report;
}Platforms Used
Web search with knowledge graph, PAA, and AI overviews