Scavio for OpenWebUI Search Integration with Search API

The Problem

OpenWebUI installations without web search produce answers frozen at the model's training cutoff. The default Tavily integration works but locks you into one provider. Teams want search flexibility without code changes.

How Scavio Helps

• HTTP function tool in OpenWebUI calls Scavio search API directly
• No plugin installation -- configure via OpenWebUI function tools UI
• Get AI Overview and Knowledge Graph data Tavily does not return
• Free tier (250 credits/month) covers personal OpenWebUI usage
• Switch from Tavily with a URL and header change, same REST pattern

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "openwebui search tool integration setup":

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 Self-hosted OpenWebUI administrators and teams running local AI chat interfaces

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your openwebui search integration with search api solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.