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Tutorial

How to Build a Google Maps Lead List Without Scraping

Pull a clean local-business lead list using SERP queries instead of headless browsers. No proxies, no captchas, structured JSON.

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An r/BusinessHub thread asked how to scale Google Maps lead generation without manual copy-paste. The answer most people skip: SERP queries scoped to google.com/maps return structured local-pack results without a browser. This tutorial walks the pattern.

Prerequisites

  • Python 3.10+
  • Scavio API key

Walkthrough

Step 1: Define the seed list

City + practice area pairs.

Python
SEEDS = [('Austin TX', 'dentist'), ('Austin TX', 'med spa'), ('Austin TX', 'real estate broker')]

Step 2: SERP query for the local pack

Map-scoped query returns business listings.

Python
import requests, os
API_KEY = os.environ['SCAVIO_API_KEY']

def local_pack(city, practice):
    return requests.post('https://api.scavio.dev/api/v1/search',
        headers={'x-api-key': API_KEY},
        json={'query': f'{practice} {city}', 'search_type': 'local'}).json()

Step 3: Extract business data per result

Name, phone, website come back structured.

Python
def normalize(local):
    rows = []
    for biz in local.get('local_results', []):
        rows.append({'name': biz.get('title'), 'phone': biz.get('phone'), 'website': biz.get('website'), 'address': biz.get('address')})
    return rows

Step 4: Verify website and pull homepage

Extract endpoint converts the homepage to markdown.

Python
def verify(rows):
    for r in rows:
        if r.get('website'):
            md = requests.post('https://api.scavio.dev/api/v1/extract',
                headers={'x-api-key': API_KEY}, json={'url': r['website'], 'format': 'markdown'}).json()
            r['site_excerpt'] = md.get('markdown', '')[:500]
    return rows

Step 5: Dedupe + write CSV

Drop into a CRM or BI tool.

Python
import csv
with open('leads.csv', 'w') as f:
    w = csv.DictWriter(f, fieldnames=['name','phone','website','address','site_excerpt'])
    w.writeheader(); w.writerows(verified)

Python Example

Python
import os, requests, csv
API_KEY = os.environ['SCAVIO_API_KEY']
H = {'x-api-key': API_KEY}

def leads(city, niche):
    r = requests.post('https://api.scavio.dev/api/v1/search', headers=H, json={'query': f'{niche} {city}', 'search_type': 'local'}).json()
    return [{'name': b.get('title'), 'phone': b.get('phone'), 'website': b.get('website')} for b in r.get('local_results', [])]

print(leads('Austin TX', 'dentist'))

JavaScript Example

JavaScript
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
export async function leads(city, niche) {
  const r = await fetch('https://api.scavio.dev/api/v1/search', { method:'POST', headers:H, body: JSON.stringify({ query: `${niche} ${city}`, search_type: 'local' }) }).then(r => r.json());
  return r.local_results || [];
}

Expected Output

JSON
About 20 local businesses per (city, niche) seed, with name, phone, website, and address. Verified excerpt for each that has a public site.

Related Tutorials

  • How to Build a Real Estate Prospecting Agent with Claude Code

Frequently Asked Questions

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

Python 3.10+. Scavio API key. A Scavio API key gives you 50 free credits on signup.

Yes. The free tier includes 50 credits on signup, which is more than enough to complete this tutorial and prototype a working solution.

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

Related Resources

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Use Case

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Workflow

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Start Building

Pull a clean local-business lead list using SERP queries instead of headless browsers. No proxies, no captchas, structured JSON.

Get Free API KeyRead the Docs
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