The Problem
SEO teams lack historical SERP data because most rank trackers only show current positions, making it impossible to analyze how search landscapes evolved over months or years.
How Scavio Helps
- Structured snapshots enable reliable time-series diffing
- Detect gradual SERP feature changes invisible in point-in-time views
- Build proprietary datasets you own vs renting tool dashboards
- Daily snapshots at $0.005/query fit research budgets
- Track competitor entry and exit patterns over time
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "best CRM software 2026 google search results":
Python
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for result in data.get("organic_results", [])[:5]:
print(f"{result['position']}. {result['title']}")
print(f" {result['link']}\n")Built for SEO analysts, competitive intelligence teams, and search researchers
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your historical serp intelligence solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.