Scavio for Plain Python Agent Search Tooling

The Problem

Many production agents are plain Python scripts, but adding web search means either building fragile scrapers or signing up for multiple APIs with different auth patterns, adding unnecessary complexity.

How Scavio Helps

• One function, one API key, one response format for all platforms
• No framework dependency: works in plain Python scripts
• 200 lines of scraping code replaced with 15 lines of API calls
• Same function covers Google, Reddit, Amazon, YouTube, Walmart, TikTok
• Drop-in tool for any agent loop pattern

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "plain Python agent web search tool function no framework 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 building AI agents without frameworks, Python engineers who prefer minimal dependencies, and teams with custom agent architectures

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your plain python agent search tooling 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.