Scavio for Local Multi-Source Enrichment

The Problem

Local marketing teams make decisions based on Google Maps data alone, missing critical sentiment signals from Reddit discussions and YouTube reviews that influence customer choices.

How Scavio Helps

• Three-platform local intelligence from one API
• Google local pack data for directory-level business details
• Reddit sentiment reveals authentic community opinions
• YouTube review content adds rich qualitative context
• Affordable multi-source enrichment at $0.015/business (3 queries)

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "best coffee shop downtown portland reviews reddit":

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 Local marketing agencies, franchise consultants, and multi-location brand managers

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your local multi-source enrichment 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.