Scavio for Local LLM Search After Google CSE Shutdown

The Problem

Local LLM setups using Google CSE for web search will lose access when CSE deprecates full-web search on January 1, 2027. Without a replacement, local assistants become knowledge-frozen at their training cutoff.

How Scavio Helps

• Drop-in CSE replacement: same REST API pattern, structured JSON response
• Gain AI Overview and Knowledge Graph data CSE never returned
• Keep queries local -- only the search request leaves your network, not the LLM conversation
• Free tier (250 credits/month) covers casual personal assistant usage
• Cost parity: $0.005/query matches CSE paid tier pricing

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "latest rust programming language features 2026":

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 Developers running local LLMs via Ollama, llama.cpp, or LM Studio who need web search grounding

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your local llm search after google cse shutdown 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.