The Problem
Developers spend 30-40% of coding time searching for documentation, comparing libraries, and reading Stack Overflow. This context-switching between browser and editor breaks flow and slows development.
How Scavio Helps
- Search for documentation and API references without leaving your editor
- YouTube results surface tutorial videos for complex topics
- Compare library options by searching for benchmarks and comparisons
- MCP integration puts search results directly in your coding agent context
- Cost: $0.005/search, typical coding session uses 5-10 searches ($0.025-0.05)
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Quick Start: Python Example
Here is a quick example searching Google for "python async http library comparison 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 Software developers, technical leads, and engineering teams who want to reduce research-to-code friction
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your pre-coding research 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.