Google Maps Scraper — Extract Business Emails, Reviews & Contacts

Extract business data, emails, phone numbers, reviews, images, and social links from Google Maps. Get 24 data fields per business at $5 per 1,000 results — emails included free, no add-on charges. Drop-in replacement for compass/crawler-google-places.

How to Scrape Google Maps for Business Leads

• $5 per 1,000 results — emails, social links, reviews, images all included (compass charges $6+ with emails)
• Fast — HTTP-first pipeline, no browser needed for basic scrapes (~1s per query)
• Deep email extraction — homepage + /contact + /about pages, with personal vs generic classification
• 24 data fields — more than any other scraper, including neighborhood, timezone, price level, and popular times
• Compass-compatible — same input field names, easy to switch
• Zero duplicates — deduplication by Google Maps place ID
• Open source — inspect the code, no black box

Use Cases

• Lead generation — Build prospect lists with verified emails and phone numbers for any industry or location
• Local SEO monitoring — Track ratings, review counts, and ranking positions for your clients or competitors
• Market research — Analyze business density, pricing, and categories across geographic areas
• Sales prospecting — Find businesses without websites or with low ratings that need your services
• Real estate analysis — Map businesses around properties to assess neighborhood commercial activity
• Franchise expansion — Identify underserved markets by analyzing competitor locations and density

What Data Can You Extract? (24 fields)

Always included (from HTTP — instant, no browser): name, address, phone, website, rating, categories, coordinates, place_id, google_maps_url, neighborhood, timezone, country_code, business_photo, open_status, scraped_at

With scrapeContacts: true (website crawl): emails, email_type (personal/generic), social_links (Facebook, Instagram, LinkedIn, X, YouTube, TikTok)

With maxReviews > 0 or maxImages > 0 (detail page): review_count, hours (full weekly schedule), reviews (author, rating, text, time, owner response), images (Google Maps photo URLs), price_level ($-$$$$), popular_times (current busy status)

Quick Start

{
  "searchStringsArray": ["dentist"],
  "locationQuery": "Austin, TX",
  "maxCrawledPlacesPerSearch": 20,
  "scrapeContacts": true
}

Switching from Compass / crawler-google-places?

Same field names — copy your config:

searchStringsArray, locationQuery, maxCrawledPlacesPerSearch, language, scrapeContacts, scrapePlaceDetailPage, placeMinimumStars, skipClosedPlaces, maxReviews, maxImages, scrapeSocialMediaProfiles

Input Parameters

Parameter	Default	Description
searchStringsArray	required	Search terms
locationQuery	null	Location (e.g., Austin, TX)
maxCrawledPlacesPerSearch	100	Max results per query
scrapeContacts	true	Extract emails & social links from business websites
scrapeSocialMediaProfiles	all true	Toggle per platform
maxReviews	0	Reviews per business (0 = skip, saves time)
reviewsSort	newest	Sort: newest, mostRelevant, highestRating, lowestRating
maxImages	0	Images per business (0 = skip, saves time)
placeMinimumStars	""	Min rating filter (e.g., 4, 4.5)
skipClosedPlaces	true	Skip permanently closed businesses
website	allPlaces	Filter: allPlaces, withWebsite, withoutWebsite
language	en	19 languages supported
geo_split	false	Auto-split large areas into grid
geo_split_max_cells	100	Max grid cells (auto-adjusts)
max_concurrency	1	Parallel detail pages
proxy	null	Optional proxy config

Sample Output — Google Maps Business Data

{
  "place_id": "ChIJb5gBC-u0RIYRHkntaUcdJGs",
  "name": "ATX Family Dental",
  "address": "1700 S 1st St, Austin, TX 78704, United States",
  "phone": "+1 512-717-3147",
  "website": "https://www.atxfamilydental.com/",
  "emails": ["info@atxfamilydental.com"],
  "email_type": "generic",
  "rating": 4.9,
  "review_count": 802,
  "categories": ["Dentist", "Cosmetic dentist", "Pediatric dentist"],
  "hours": {"Monday": "8 AM–4 PM", "Tuesday": "8 AM–4 PM"},
  "latitude": 30.2482229,
  "longitude": -97.7559705,
  "google_maps_url": "https://www.google.com/maps/place/...",
  "social_links": {
    "facebook": "https://facebook.com/...",
    "instagram": "https://instagram.com/..."
  },
  "reviews": [
    {
      "author": "John Smith",
      "rating": 5,
      "text": "Great dentist!",
      "time": "2 months ago",
      "response": "Thank you!"
    }
  ],
  "images": ["https://lh3.googleusercontent.com/..."],
  "neighborhood": "Bouldin Creek",
  "timezone": "America/Chicago",
  "country_code": "US",
  "business_photo": "https://lh5.googleusercontent.com/...",
  "open_status": "Open · Closes 4 PM",
  "price_level": "$$",
  "popular_times": "Not busy",
  "scraped_at": "2026-03-27T01:00:00+00:00"
}

How Much Does It Cost to Scrape Google Maps?

$0.007 per result + $0.01 per GB of memory at run start (default 4 GB → $0.04/run). Emails, social links, reviews, images — all included. All-in price: no separate Apify platform-usage charge to the customer.

Results	Our cost (all-in)	Compass (with emails) + their platform usage
100	$0.74	$0.60 + platform fees
1,000	$7.04	$6.00 + platform fees
10,000	$70.04	$60.00 + platform fees

Compass charges $0.004 base + $0.002 contact-details + Apify usage on top of that. By the time you add their platform-usage line item (typically $0.001–$0.003/result for browser scraping), the difference closes — and our pricing is single line item, no surprises.

Proxy Configuration

Works without proxy for small runs. For 100+ results, configure a proxy:

// Apify managed proxy
{"provider": "apify", "group": "RESIDENTIAL"}

// Bright Data
{"provider": "brightdata", "username": "YOUR_USER", "password": "YOUR_PASS", "zone": "residential", "country": "US"}

// Oxylabs
{"provider": "oxylabs", "username": "YOUR_USER", "password": "YOUR_PASS", "proxy_type": "residential", "country": "US"}

// SmartProxy
{"provider": "smartproxy", "username": "YOUR_USER", "password": "YOUR_PASS", "proxy_type": "residential", "country": "US"}

// Any proxy URL
{"provider": "raw_urls", "urls": ["http://user:pass@proxy.example.com:8080"]}

Cost Estimator

Use case	Config	Est. cost
100 businesses, basic data	default	~$0.74
1,000 businesses with emails	scrapeContacts: true	~$7.04
1,000 businesses + 5 reviews each	maxReviews: 5	~$7.04
10,000 businesses with emails	+ geo_split: true	~$70.04

All costs include emails, social links, reviews, and images. No add-ons.

Error Handling

Situation	What happens
Proxy fails	Auto-retries without proxy, logs warning
Google blocks request	Falls back from HTTP to Playwright browser
Place detail page timeout	Skips place, continues with next (60s timeout)
Website unreachable (email extraction)	Skips emails for that business, returns other data
0 search results	Returns empty dataset, no charge
Google consent screen	Auto-dismissed, scraping continues

Failed places are logged but don't stop the run. You always get partial results.

Frequently Asked Questions

Do I need a proxy to scrape Google Maps? No for small runs (under 100 results). For larger scrapes, configure a residential proxy to avoid rate limits. See proxy config above.

How many Google Maps results can I scrape? ~120 per search query. Enable geo_split: true to automatically split large areas into a grid and scrape thousands of results.

Why are some emails missing? Not all businesses list emails on their website. Service businesses (law firms, dentists, plumbers) typically have better email coverage than restaurants or retail shops.

How do I extract Google Maps reviews? Set maxReviews to any number greater than 0. Each review includes author name, star rating, review text, date, and owner response.

How fast is the Google Maps scraper? Basic data: ~1s per query. With email extraction: ~5s per business. With reviews and images: slower (requires browser rendering).

Can I cache Google Maps data between runs? Yes. Set cache_provider: "apify" to reuse detail page data across runs. Only places that changed get re-scraped.

Related Actors

Building a full data pipeline? Pair this actor with our other scrapers — same proxy config format, same Pydantic-validated output, all open source.

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