The Problem
Google Custom Search Engine API is shutting down for all users by January 1, 2027. Teams running 60K+ queries/month need to migrate to an alternative without downtime, while mapping response formats and maintaining query parity.
How Scavio Helps
- Drop-in REST endpoint replacement with similar response schema
- No Google Cloud project or Vertex AI setup required
- Flat per-query pricing ($0.005) vs complex cloud billing
- 250 free credits for migration testing without commitment
- Response field mapping from CSE 'items' to 'organic_results' takes hours, not weeks
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "A SaaS company running 60K CSE queries/month maps their integration: CSE's 'items[].title' becomes 'organic_results[].title', 'items[].link' becomes 'organic_results[].link', 'items[].snippet' becomes 'organic_results[].snippet'. They run 500 parallel test queries on Scavio's free tier to validate parity. Migration deployed in one sprint. Monthly cost: $300 at $0.005/query vs unknown Vertex AI Search enterprise pricing.":
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 running high-volume Google CSE implementations, SaaS products with embedded site search, agencies managing client search integrations
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your google cse high-volume migration 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.