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How to Scrape Google Maps Leads with Emails for Free (Python & Node.js)

How to Scrape Google Maps Leads with Emails for Free (Python & Node.js)

If you've ever tried scraping Google Maps for local B2B leads, you know the major roadblock: Google Maps never shows email addresses.

Google Maps listings give you business names, phone numbers, star ratings, and website links, but if you want to run cold email outreach or build a prospecting list, raw maps data leaves you stuck manually clicking through hundreds of websites to find contact inboxes.

In this guide, you will learn how to build an automated, zero-cost pipeline that:

  1. Searches Google Maps for any target niche and location (e.g., "Roofers in Austin, TX", "Dentists in Miami, FL").
  2. Extracts verified business details: Name, address, phone number, star rating, and website.
  3. Deep-crawls each company's website to extract syntax-verified contact emails and social media profiles (LinkedIn, Instagram, Facebook).
  4. Exports cleanly to CSV and JSON.

Best of all, you can run this completely free for your first 50 leads without needing a credit card or maintaining expensive residential proxy infrastructure.

The Architecture: Why Most Scrapers Fail

Traditional Google Maps scrapers just pull the visible DOM on Google Maps. That gives you:

  • Business Name: ✅
  • Phone Number: ✅
  • Physical Address: ✅
  • Website: ✅
  • Contact Email: ❌ (NOT stored on Google Maps)

To solve this, our pipeline deploys a 2-Stage Lead Enrichment Architecture:

┌────────────────────────┐      ┌────────────────────────┐      ┌────────────────────────┐
│  Stage 1: Google Maps  │ ───► │ Stage 2: Deep Website  │ ───► │  Stage 3: Data Export  │
│  Extract Listings &    │      │ Visit company site to  │      │ Clean CSV & JSON with  │
│  Official Website URLs │      │ scrape emails & socials│      │ verified B2B contacts  │
└────────────────────────┘      └────────────────────────┘      └────────────────────────┘
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Rather than managing headless browsers, anti-bot bypasses, and proxy pools yourself, we wrap this pipeline into an open-source client calling the cloud Actor neon_innovation_lab/google-maps-b2b-lead-enricher.

Prerequisites

  1. Python 3.8+ or Node.js 18+
  2. A free Apify API token (Apify provides $5.00/month in free credits, and the first 50 leads incur $0 in custom event fees).

Method 1: Python Implementation

1. Install the SDK 

pip install apify-client python-dotenv
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2. The Python Script (scrape_leads.py) 

import os
import csv
import json
from apify_client import ApifyClient

# 1. Initialize client with your free API token
client = ApifyClient(os.getenv("APIFY_TOKEN", "YOUR_APIFY_TOKEN_HERE"))

# 2. Define search parameters
run_input = {
    "searchQueries": ["Roofers in Austin, TX"],
    "maxResultsPerQuery": 50,         # First 50 leads are 100% free!
    "extractEmailsAndSocials": True,  # Deep website visit for emails & socials
    "countryCode": "us"
}

print("🚀 Starting Google Maps Lead Extraction with Email Enrichment...")
run = client.actor("neon_innovation_lab/google-maps-b2b-lead-enricher").call(run_input=run_input)

# 3. Retrieve dataset items
dataset_items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(f"🎉 Successfully scraped {len(dataset_items)} enriched leads!\n")

# 4. Export to CSV
with open("leads.csv", mode="w", newline="", encoding="utf-8") as f:
    writer = csv.writer(f)
    writer.writerow(["Title", "Category", "Phone", "Website", "Emails", "Rating", "Address"])
    for lead in dataset_items:
        emails = "; ".join(lead.get("emails") or [])
        writer.writerow([
            lead.get("title"),
            lead.get("category"),
            lead.get("phone"),
            lead.get("website"),
            emails,
            lead.get("rating"),
            lead.get("address")
        ])

print("💾 Saved to leads.csv!")
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Run it with:

export APIFY_TOKEN="your_token_here"
python scrape_leads.py
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Method 2: Node.js Implementation

1. Install the SDK 

npm install apify-client dotenv
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2. The Node.js Script (scrape_leads.js) 

import fs from 'node:fs';
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
  token: process.env.APIFY_TOKEN || 'YOUR_APIFY_TOKEN_HERE',
});

const runInput = {
  searchQueries: ['Dentists in Miami, FL'],
  maxResultsPerQuery: 50,        // First 50 leads are free!
  extractEmailsAndSocials: true, // Collect emails & social profiles
  countryCode: 'us',
};

console.log('🚀 Running lead extraction...');
const run = await client.actor('neon_innovation_lab/google-maps-b2b-lead-enricher').call(runInput);

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`✅ Extracted ${items.length} enriched businesses!`);

// Export to JSON
fs.writeFileSync('leads.json', JSON.stringify(items, null, 2));
console.log('💾 Saved to leads.json');
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Sample Extracted Output

Here is an example of what the returned JSON dataset looks like:

{
  "title": "Austin Premier Roofing Co",
  "category": "Roofing contractor",
  "address": "1204 E 7th St, Austin, TX 78702",
  "phone": "(512) 555-0142",
  "website": "https://www.austinpremierroofing.com",
  "emails": [
    "contact@austinpremierroofing.com",
    "estimates@austinpremierroofing.com"
  ],
  "socials": {
    "linkedin": "https://www.linkedin.com/company/austin-premier-roofing",
    "facebook": "https://www.facebook.com/austinpremierroofing",
    "instagram": "https://www.instagram.com/austinroofingtx"
  },
  "rating": 4.9,
  "reviewsCount": 184,
  "googleMapsUrl": "https://www.google.com/maps/place/...",
  "query": "Roofers in Austin, TX",
  "scrapedAt": "2026-10-19T12:00:00.000Z"
}
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Cost Comparison: Why Pay-Per-Event Wins

Tool Monthly Subscription Cost for 1,000 Leads Free Trial
This Tool (free-google-maps-lead-scraper) $0 / month ~$7.00 🎁 First 50 Leads Free
Outscraper $29 – $99 / mo $15 – $30 25 leads
PhantomBuster $69 – $149 / mo $40 – $80 14-day limit
Apollo / ZoomInfo $99 – $1,000+ / mo $150 – $300 Limited export

By leveraging Apify's Pay-Per-Event (PPE) model, you only pay for what you actually extract:

  • First 50 leads: $0.00 custom fee
  • Additional leads: $0.005 per enriched lead + $0.002 dataset storage
  • Total effective cost: ~$7.03 per 1,000 verified leads!

Open-Source GitHub Repository

The complete open-source code with CLI options (--query, --limit, --country), automated CSV/JSON formatting, and sample data is available on GitHub:

👉 GitHub: Ansarii/free-google-maps-lead-scraper

If you don't even want to run local code, you can trigger the scraper directly in your browser with 1 click:
👉 Run on Apify Store: google-maps-b2b-lead-enricher

Happy prospecting! If you found this useful, don't forget to star the GitHub repo! ⭐

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