The Problem
Vibecoded apps look polished but display hardcoded or stale data. Non-developers who vibecoded the app need a simple pattern to add real-time data without understanding complex API integrations.
How Scavio Helps
- One fetch() pattern works for all five platforms
- 250 free credits cover most vibecoded app traffic
- Simple enough to add by prompting Cursor or Claude
- Structured JSON maps directly to UI components
- 15 lines of JavaScript for a complete data layer
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Amazon
Product search with prices, ratings, and reviews
YouTube
Video search with transcripts and metadata
Quick Start: Python Example
Here is a quick example searching Google for "A non-developer vibecodes a weekend trip finder using Cursor. They prompt: 'Add a Scavio search for events in the selected city.' Cursor generates 15 lines: one fetch call to /api/v1/search with platform 'google', parse organic_results, map to event cards. Total integration: 20 minutes of prompting. 250 free credits/month cover the app's traffic.":
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 Non-developers building apps with AI coding tools, vibecoding enthusiasts, indie hackers using Cursor or Bolt
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your vibecoded app data layer 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.