Scavio for Google Maps Data Extraction

The Problem

Sales and marketing teams need fresh lead lists segmented by industry and geography. The Google Places API is expensive and rate-limited. Scraping Google Maps directly risks IP bans and broken selectors.

How Scavio Helps

• Structured Google Maps results: name, address, phone, rating, hours
• Filter by business category and geographic area
• Google search for additional company details and social profiles
• Export-ready JSON for CRM import

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google Maps for "dentist offices houston 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, "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 Lead gen agencies, market researchers, directory builders

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