The Problem
Google Custom Search Engine API shuts down January 1, 2027. Teams running 60K+ queries/month need to migrate to an alternative. Google recommends Vertex AI Search, but it requires full Google Cloud setup, enterprise pricing, and only supports site-restricted search (up to 50 domains). Open web search needs a different solution.
The Scavio Solution
Replace the CSE REST endpoint with Scavio's POST endpoint. Map response fields: CSE 'items' becomes 'organic_results', 'items[].title' stays 'title', 'items[].link' stays 'link', 'items[].snippet' stays 'snippet'. Run the migration in three phases: (1) parallel-run both APIs for one week to validate parity, (2) switch primary traffic to the new endpoint with CSE as fallback, (3) decommission CSE integration before the deadline.
Before
Before migration, the team runs 60K CSE queries/month through Google's Programmable Search Engine JSON API. Cost is within Google Cloud billing. The 'Search the entire web' option was disabled in March 2026, already degrading results for open web queries.
After
After migration, 60K queries/month route through Scavio at $0.005 each ($300/month). Response format is similar JSON with organic results, titles, URLs, and snippets. Open web search works without site restrictions. Migration took one sprint with zero downtime using the parallel-run strategy.
Who It Is For
Engineering teams running high-volume Google CSE implementations that need to migrate before the January 2027 shutdown deadline.
Key Benefits
- Drop-in REST replacement with similar response schema
- 60K queries at $300/month with predictable billing
- No Google Cloud project or Vertex AI setup
- Open web search without site restrictions
- Parallel-run strategy ensures zero migration downtime
Python Example
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def migrate_cse_query(query: str) -> list:
"""Drop-in replacement for Google CSE queries."""
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': query}, timeout=10).json()
# Map to CSE-compatible format:
return [{'title': o.get('title'), 'link': o.get('link'),
'snippet': o.get('snippet')} for o in r.get('organic_results', [])]
results = migrate_cse_query('best CRM for startups 2026')
for r in results[:3]:
print(f"{r['title']}: {r['link']}")JavaScript Example
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
async function migrateCseQuery(query) {
const r = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({ platform: 'google', query })
}).then(r => r.json());
return (r.organic_results || []).map(o => ({
title: o.title, link: o.link, snippet: o.snippet
}));
}
migrateCseQuery('best CRM for startups 2026').then(r => r.slice(0, 3).forEach(i => console.log(`${i.title}: ${i.link}`)));Platforms Used
Web search with knowledge graph, PAA, and AI overviews