Google Maps & Local Business Lead, Email, Phone & Social Media Extractor

Extract verified Business Names, Email Addresses, Phone Numbers, Physical Addresses, Ratings & Reviews, Categories, and Social Media Profiles (LinkedIn, Facebook, Instagram, X/Twitter, YouTube, TikTok) from Google Maps links, local business directories, and company websites.

Why Use This Local Business & Google Maps Lead Extractor?

Google Maps and local directories rarely display business email addresses directly on the listing card. Instead, emails and decision-maker social profiles live on the business's official website (/contact, /about-us, /locations, /impressum, and embedded LocalBusiness JSON-LD schema).

This Actor combines local listing metadata parsing with automatic website & contact page deep-crawling to deliver ready-to-contact B2B lead lists in seconds.

Key Features

• Deep Email & Phone Discovery: Extracts mailto: and tel: links, inline de-obfuscated emails, and international/local phone numbers while filtering out false positives (sentry.io, image extensions, dummy emails).
• Schema.org LocalBusiness & Microdata Extraction: Automatically parses application/ld+json (LocalBusiness, Organization, Store, Restaurant, ProfessionalService) for structured street addresses, postal codes, aggregate ratings, and review counts.
• Full Social Media Enrichment: Captures LinkedIn company/founder links, Facebook pages, Instagram handles, X/Twitter profiles, YouTube channels, and TikTok accounts.
• Blazing Fast & Cost-Effective: Built on @crawlee/cheerio on Node.js 24, scanning hundreds of business domains per minute with minimal compute cost.

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Input Configuration

Parameter	Type	Default	Description
startUrls	array	Required	List of Google Maps place URLs, directory listings, or company websites.
enrichCompanyWebsites	boolean	true	Automatically crawl /contact, /about, and /locations pages on each domain to maximize email discovery.
maxBusinesses	integer	50	Maximum number of pages/businesses to process per run.

Example Input JSON

{
  "startUrls": [
    { "url": "https://apify.com/contact" },
    { "url": "https://crawlee.dev" }
  ],
  "enrichCompanyWebsites": true,
  "maxBusinesses": 50
}

---

Output Dataset Sample

{
  "businessName": "Apify",
  "category": "Organization",
  "domain": "apify.com",
  "website": "https://apify.com",
  "sourceUrl": "https://apify.com/contact",
  "address": "Prague, Czech Republic",
  "rating": 4.9,
  "reviewCount": 320,
  "emails": ["hello@apify.com"],
  "phones": ["+1 415 555 0199"],
  "linkedin": "https://www.linkedin.com/company/apify",
  "facebook": null,
  "instagram": null,
  "twitter": "https://x.com/apify",
  "youtube": "https://www.youtube.com/@apify",
  "tiktok": null,
  "scrapedAt": "2026-11-01T09:30:00.000Z"
}

---

API Integration (Python & Node.js)

Python (requests)

import requests

API_TOKEN = "YOUR_APIFY_TOKEN"
url = f"https://api.apify.com/v2/acts/tungnguyen84~google-maps-lead-email-phone-extractor/run-sync-get-dataset-items?token={API_TOKEN}"

payload = {
    "startUrls": [{"url": "https://apify.com/contact"}],
    "enrichCompanyWebsites": True,
    "maxBusinesses": 20
}

response = requests.post(url, json=payload, timeout=120)
for lead in response.json():
    print(lead["businessName"], lead["emails"], lead["phones"])