The Problem
Internal tools using Google CSE for search functionality must migrate before January 2027. Engineering teams need a drop-in replacement with minimal code changes and no cost increase.
How Scavio Helps
- Same $0.005/query cost as Google CSE paid tier
- Structured JSON response compatible with existing CSE result parsing
- Gain AI Overview, Knowledge Graph, and PAA data CSE lacks
- Free tier (250 credits) for A/B testing migration before full switch
- REST API pattern familiar to teams already using CSE
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "kubernetes pod troubleshooting guide":
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 Engineering teams maintaining internal tools that use Google CSE for search functionality
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your google cse replacement for internal search tools 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.