Scavio for Local SEO Research with Google Maps Data

The Problem

Local SEO strategies based on assumptions fail. Without data on how many competitors exist, their review counts, and their web presence, agencies cannot prioritize the right tactics for each local market.

How Scavio Helps

• Google Maps data shows competitor density per category and location
• Review count distribution reveals the review threshold needed to compete
• Website presence check identifies which competitors have optimized sites
• Cross-reference with Google organic results for SERP overlap analysis
• Cost: $0.01/business analyzed (Maps query + Google verification)

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google Maps for "dentist near downtown austin tx":

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, "tbs": "lcl"},
)

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 SEO agencies, consultants, and in-house marketing teams managing multi-location businesses

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your local seo research with google maps data 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.