Google Maps Scraper

Extract detailed business data from Google Maps at scale. Get 35+ fields per place including name, address, phone, website, rating, reviews, opening hours, photos, and more. Optionally enrich with email addresses and social media profiles.

Features

• 35+ data fields per place (address, phone, website, rating, reviews, opening hours, images, coordinates, and more)
• Email extraction (3-layer pipeline: regex + deep crawl + MX-validated guessing, ~85% hit rate)
• Social media profiles (LinkedIn, Facebook, Instagram, YouTube, X/Twitter, Pinterest)
• Contact enrichment included free — no extra charge for emails and social media
• HTTP-only architecture — no browser overhead, runs on just 256 MB of memory
• Anti-detection built in — Chrome TLS fingerprinting, session rotation, human-like timing
• Multi-language & multi-country — search in 28 languages across any country
• Automatic deduplication — no duplicate results when running multiple queries
• Pagination — automatically fetches multiple pages to reach your target count

How It Works

1. Google Maps Search — sends HTTP requests to Google's internal Maps search API (tbm=map) to get structured JSON data. No browser needed.
2. Data Extraction — parses 35+ fields from each business listing in a single request.
3. Contact Enrichment (optional) — visits each business website to extract email addresses and social media profiles using a 3-layer extraction pipeline.

Input

Parameter	Type	Default	Description
searchStringsArray	string[]	["restaurant in New York"]	Search queries for Google Maps
maxCrawledPlacesPerSearch	integer	20	Max places to extract per query (1-500)
language	string	en	Result language (28 options)
countryCode	string	us	Country focus for results
enrichContacts	boolean	false	Extract emails & social media from websites
enrichmentPages	string[]	["/", "/about", "/contact", "/team"]	Website paths to check for contacts
maxEnrichmentConcurrency	integer	5	Parallel website fetches
includeOpeningHours	boolean	true	Include opening hours data
includeImages	boolean	false	Include image URLs
maxImages	integer	5	Max images per place (0-20)
proxyConfiguration	object	Apify Residential US	Proxy settings (residential required)

Example Input

{
  "searchStringsArray": [
    "restaurants in Manhattan New York",
    "coffee shops in Brooklyn",
    "hotels near Times Square"
  ],
  "maxCrawledPlacesPerSearch": 50,
  "language": "en",
  "countryCode": "us",
  "enrichContacts": true
}

Output

Each place produces a JSON object with 35+ fields:

{
  "title": "Joe's Pizza",
  "subTitle": "New York-style pizza",
  "categoryName": "Pizza restaurant",
  "categories": ["Pizza restaurant", "Italian restaurant"],
  "placeId": "ChIJ...",
  "cid": "1234567890",
  "url": "https://www.google.com/maps/place/?q=place_id:ChIJ...",
  "address": "7 Carmine St, New York, NY 10014",
  "neighborhood": "Greenwich Village",
  "street": "7 Carmine St",
  "city": "New York",
  "state": "NY",
  "postalCode": "10014",
  "countryCode": "US",
  "location": { "lat": 40.7303, "lng": -74.0021 },
  "plusCode": "87G8Q2JM+XX",
  "website": "https://www.joespizzanyc.com",
  "phone": "(212) 366-1182",
  "phoneUnformatted": "+12123661182",
  "totalScore": 4.5,
  "reviewsCount": 12847,
  "reviewsDistribution": {
    "oneStar": 523,
    "twoStar": 312,
    "threeStar": 891,
    "fourStar": 3241,
    "fiveStar": 7880
  },
  "description": "Iconic NYC pizzeria serving classic New York-style slices since 1975.",
  "priceLevel": "$",
  "openingHours": [
    { "day": "Monday", "hours": "10 AM - 4 AM" },
    { "day": "Tuesday", "hours": "10 AM - 4 AM" }
  ],
  "temporarilyClosed": false,
  "permanentlyClosed": false,
  "imageUrl": "https://lh5.googleusercontent.com/...",
  "profilePhotoUrl": "https://lh5.googleusercontent.com/...",
  "serviceOptions": ["Dine-in", "Takeout", "Delivery"],
  "email": "info@joespizzanyc.com",
  "socialProfiles": {
    "linkedin": null,
    "facebook": "https://facebook.com/joespizzanyc",
    "instagram": "https://instagram.com/joespizza",
    "youtube": null,
    "twitter": "https://x.com/JoesPizzaNYC",
    "pinterest": null
  },
  "searchString": "restaurants in Manhattan New York",
  "rank": 1,
  "scrapedAt": "2026-02-16T12:00:00.000Z"
}

Output Fields Reference

Field	Type	Description
title	string	Business name
subTitle	string	Business subtitle or tagline
categoryName	string	Primary category
categories	string[]	All categories
placeId	string	Google Maps Place ID
cid	string	Google CID identifier
url	string	Direct Google Maps link
address	string	Full street address
neighborhood	string	Neighborhood or short address
street	string	Street address (parsed)
city	string	City name (parsed)
state	string	State or province (parsed)
postalCode	string	ZIP or postal code (parsed)
countryCode	string	Country code (parsed)
location	object	{ lat, lng } coordinates
plusCode	string	Google Plus Code
website	string	Business website URL
phone	string	Formatted phone number
phoneUnformatted	string	Raw phone digits
totalScore	number	Average rating (0-5)
reviewsCount	integer	Total review count
reviewsDistribution	object	Star breakdown (1-5)
description	string	Business description
priceLevel	string	Price indicator ($-$$$$)
openingHours	array	Hours per day of week
temporarilyClosed	boolean	Temporarily closed flag
permanentlyClosed	boolean	Permanently closed flag
imageUrl	string	Main listing image
imageUrls	string[]	Multiple image URLs (when enabled)
profilePhotoUrl	string	Profile/logo photo
serviceOptions	string[]	Service types (Dine-in, Delivery, etc.)
email	string	Email (when enrichment enabled)
socialProfiles	object	Social media URLs (when enrichment enabled)
searchString	string	Query that found this place
rank	integer	Position in search results
scrapedAt	string	ISO timestamp

Use Cases

• Lead generation — find businesses by category and location, get their contact info
• Market research — analyze ratings, reviews, and pricing across competitors
• Local SEO — audit business listings and track rankings
• Sales prospecting — build targeted lists with email and social media
• Data enrichment — add Google Maps data to existing business databases

Tips

• Residential proxies are required. Google blocks datacenter IPs. Use Apify's residential proxy group.
• Start small. Test with 20 places first to verify your queries return the right results.
• Use specific queries. "Plumber in 90210" works better than just "plumber" — Google needs location context.
• Enable contact enrichment when you need email/social data. It adds ~2s per place but the hit rate is high.
• Deduplication is automatic. Run multiple overlapping queries without worrying about duplicates.