The Problem
Travel planning requires searching across multiple sources: Google for options, YouTube for destination videos, and maps for local attractions. Unifying this data is complex.
How Scavio Helps
- Google search for travel options and reviews
- YouTube destination videos and travel vlogs
- Google Maps for local attractions and restaurants
- Build AI trip planning assistants
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Google Maps
Local business search with ratings and contact info
Quick Start: Python Example
Here is a quick example searching Google for "best things to do in tokyo japan":
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 Travel apps, booking platforms, trip planning services
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your travel search 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.