Scavio for F&B Market Intelligence

The Problem

F&B operators rely on expensive consultants or gut feel for market decisions because structured local competitive data is hard to obtain programmatically.

How Scavio Helps

• Local pack data reveals competitor density by area
• Track competitor menu and pricing changes
• Identify underserved cuisines in target neighborhoods
• Monitor review sentiment trends for market opportunities
• Programmatic access for multi-location analysis

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "best ramen restaurant downtown austin texas":

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 Restaurant operators, F&B chains, and food industry consultants

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your f&b market intelligence 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.