Scavio for Google CSE Replacement for Internal Search Tools

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

Quick Start: Python Example

Here is a quick example searching Google for "kubernetes pod troubleshooting guide":

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 (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.