The Problem
Franchise development teams, suppliers, and consultants need data about franchise operators across hundreds of locations. Commercial restaurant databases charge $500-2,000/month for similar data that updates quarterly.
How Scavio Helps
- 500 franchise locations enriched for $2.50/month
- Live data vs quarterly database updates
- Ratings and reviews enable operator benchmarking
- Competitive density analysis by zip code
- Expansion opportunity identification
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "qsr franchise operator discovery location data api 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 Franchise development teams, QSR suppliers, franchise consultants, and territory analysts
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your qsr franchise operator discovery 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.