Scavio for Academic Research

The Problem

Academic research requires searching across multiple databases and web sources. Google Scholar results are hard to access programmatically, but Google search captures a lot of scholarly content.

How Scavio Helps

• Google search for papers, articles, and research reports
• Knowledge Graph for structured entity information
• YouTube for lecture videos and conference talks
• Build automated literature review tools

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "transformer architecture attention mechanism":

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 Researchers, students, academic institutions

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

Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.