Brave Search Migration: Zero-Downtime Adapter Pattern

Migrating from Brave Search API to a multi-platform search API does not require rewriting your entire codebase. A thin adapter function that maps the new API response to Brave's format lets you switch with zero downtime and validate result parity before fully cutting over.

Why Teams Migrate from Brave

Brave Search API ($5/1K queries, $5 free credit/mo with attribution required) serves an independent non-Google index. Common migration reasons: needing multi-platform data (Amazon, Reddit, YouTube) that Brave does not cover, wanting to drop the attribution requirement on free tier, or needing MCP/agent framework integration that Brave lacks.

The Adapter Pattern

Instead of rewriting every call site, create a drop-in adapter function that accepts the same parameters as your Brave calls and returns data in Brave's response format. Your downstream code continues working unchanged.

import requests, os

H = {"x-api-key": os.environ["SCAVIO_API_KEY"]}

def brave_to_scavio_adapter(query, count=10):
    """Drop-in replacement for Brave Search API calls.
    Returns Brave-compatible response format."""
    r = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
        json={"platform": "google", "query": query}, timeout=10).json()
    return {
        "query": {"original": query},
        "web": {
            "results": [
                {
                    "url": item.get("link", ""),
                    "title": item.get("title", ""),
                    "description": item.get("snippet", ""),
                    "is_source_local": False,
                }
                for item in r.get("organic", [])[:count]
            ]
        }
    }

# Your existing code works unchanged:
results = brave_to_scavio_adapter("best search api 2026")
for r in results["web"]["results"]:
    print(f"{r['title']}: {r['url']}")

The Migration Steps

1. Audit all code paths calling Brave Search API. Document query patterns and which response fields your code uses.
2. Build the adapter function mapping Scavio response fields to Brave equivalents.
3. Run 50 sample queries through both Brave and the adapter. Compare result quality and field completeness.
4. Deploy the adapter behind a feature flag. Route 10% of traffic, monitor for errors.
5. Ramp to 100% over 48 hours. Remove the Brave integration after confirming parity.

What You Gain

After migration: Amazon product data, YouTube video results, Reddit community discussions, and Walmart product listings -- all through the same adapter pattern. Add new platforms by extending the adapter with a platform parameter while keeping the Brave-compatible response format for existing code.

async function braveToScavioAdapter(query, platform = "google") {
  const r = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST",
    headers: {
      "x-api-key": process.env.SCAVIO_API_KEY,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({ platform, query })
  }).then(r => r.json());
  return {
    query: { original: query },
    web: {
      results: (r.organic || []).map(item => ({
        url: item.link || "",
        title: item.title || "",
        description: item.snippet || "",
      }))
    }
  };
}