🗺️ Google Maps Scraper - The Fastest Google Maps Scraper on Apify

Extract business details, reviews, photos, contact info, and social media from Google Maps — faster than any other scraper on the platform.

🚀 Dead simple: Enter search terms + location, click Run, get data in seconds.

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⚡ Why We're Faster

Metric	This Scraper	Other Scrapers
Speed	50 places in ~4 seconds	10+ minutes
Memory	128 MB minimum	4 GB+ required
Reviews	95%+ success rate	Hit-or-miss
Images	5-20 per place	Often 0
Review limit	Up to 500 per place	Max 20
Cost	~$0.31 per 100 places	$0.50+ per 100 places

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🏆 Why Use This Google Maps Scraper?

Feature	Description
⚡ 10x faster	Results in seconds, not minutes
📝 Reliable reviews	Automatic retry + pagination for up to 500 reviews per place
🖼️ Real images	5-20 high-res photos per place, not broken URLs
📧 Contact enrichment	Emails scraped from business websites
📱 Social media	8+ platforms supported
📍 Parsed addresses	Street, city, country, postal code
💰 Cheapest on Apify	Pay-per-event pricing, 10-30% cheaper than alternatives

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📊 What Data Can You Extract?

Category	Data Types
🏢 Business Info	Name, categories, price level, permanently/temporarily closed status
📍 Location	Full address, street, city, state, country code, postal code, coordinates, Plus Code
📞 Contact	Phone number, website URL
⭐ Ratings	Total score, review count
🕐 Hours	Full weekly schedule, current open/closed status
📝 Reviews	Review text, star rating, date, reviewer info, owner responses (paginated, up to 500)
🖼️ Photos	High-res image URLs, 5-20 per place
❓ Q&A	Questions and answers from Google Maps
🍽️ Restaurant Data	Menu URL, order URL, reservation URL, reservation provider (OpenTable, Resy, etc.)
📧 Contact Enrichment	Emails, phones scraped from business websites
📱 Social Media	Facebook, Instagram, YouTube, TikTok, Twitter, LinkedIn, Pinterest, Discord

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🆕 Key Features

⚡ Blazing Fast

Results in seconds. 50 places in ~4 seconds for basic data. Even with reviews and images, 40 places finish in under 5 minutes.

📝 Reliable Review Extraction

• Automatic retry — if the first attempt fails, tries again automatically
• Pagination — fetch 25, 50, or even 500 reviews per place. No 20-review limit
• Review photos — images from reviews are automatically included
• 95%+ success rate

🖼️ Real Image Extraction

• 5-20 high-res images per place from the photo gallery
• Smart fallbacks — always tries to find at least one image
• Review photos merged automatically as bonus images
• No duplicates

📧 Contact Enrichment

Don't just get the phone from Google Maps - scrape the actual business website to find:

• Email addresses (including Cloudflare-protected)
• Additional phone numbers
• Social media profiles (8+ platforms)

📍 Parsed Address Components

Get addresses broken down into usable fields:

{
  "address": "123 Main St, New York, NY 10001, USA",
  "street": "123 Main St",
  "city": "New York",
  "state": "NY",
  "countryCode": "US",
  "postalCode": "10001"
}

⭐ Full Review Data with Pagination

Extract complete reviews with owner responses — no 20-review limit:

{
  "text": "Amazing food and service!",
  "stars": 5,
  "publishedAtDate": "2 weeks ago",
  "responseFromOwnerText": "Thank you for visiting!"
}

🎯 Smart Filtering

• Skip closed places - Don't waste budget on permanently/temporarily closed businesses
• Minimum stars filter - Only scrape places with 4+ stars
• Website filter - Only places with/without websites
• Exact match - Only places matching your search term exactly

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⚙️ How to Scrape Google Maps

1️⃣ Enter search terms (e.g., "restaurants", "dentist", "hotels")
2️⃣ Enter location (e.g., "New York, NY" or "Paris, France")
3️⃣ Set how many places you want
4️⃣ Click "Start" and get clean, structured data in seconds

The scraper automatically:

• 🗺️ Splits location into tiles - Finds more results than Google's 120 limit
• 🔄 Deduplicates results - No duplicate places in your data
• 🍪 Handles consent dialogs - Works in EU and other regions
• 📍 Parses addresses - Extracts street, city, country components
• 🔁 Retries on failure - Automatic recovery for maximum data quality

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📥 Input Options

{
  "searchStringsArray": ["restaurants", "cafes"],
  "locationQuery": "Paris, France",
  "maxCrawledPlacesPerSearch": 100,
  "language": "en",
  "maxReviews": 10,
  "maxImages": 5,
  "scrapeContacts": true,
  "skipClosedPlaces": true,
  "placeMinimumStars": "4"
}

📋 Input Parameters

Parameter	Type	Default	Description
searchStringsArray	array	required	Search terms like "restaurants", "hotels"
locationQuery	string	-	Location to search (city, region, address)
startUrls	array	-	Direct Google Maps URLs to scrape
placeIds	array	-	Google Place IDs to scrape directly
maxCrawledPlacesPerSearch	number	50	Max places per search term (up to 500)
language	string	"en"	Language code for results

⭐ Review Options

Parameter	Type	Default	Description
maxReviews	number	0	Reviews to extract per place (up to 500, paginated)
reviewsSort	string	"newest"	Sort: "newest", "relevant", "highest", "lowest"
reviewsStartDate	string	-	Only reviews after this date (YYYY-MM-DD or "7 days")
reviewsFilterString	string	-	Only reviews containing this text
scrapeReviewsPersonalData	boolean	false	Include reviewer names and URLs

🖼️ Image Options

Parameter	Type	Default	Description
maxImages	number	0	Images to extract per place (up to 100)
scrapeImageAuthors	boolean	false	Include photographer info

📧 Contact Enrichment

Parameter	Type	Default	Description
scrapeContacts	boolean	false	Extract emails/phones from websites
maximumLeadsEnrichmentRecords	number	0	Max places to enrich (0 = unlimited)
scrapeSocialMediaProfiles	object	all true	Which platforms to extract

🎯 Filtering Options

Parameter	Type	Default	Description
skipClosedPlaces	boolean	false	Skip permanently/temporarily closed
placeMinimumStars	string	""	Minimum rating (e.g., "4" for 4+ stars)
website	string	"allPlaces"	"allPlaces", "withWebsite", "withoutWebsite"
searchMatching	string	"all"	"all" or "exact" (title must contain search term)

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📤 Output Format

Each place is output as a structured JSON object:

{
  "title": "Le Petit Cafe",
  "totalScore": 4.7,
  "reviewsCount": 342,
  "categoryName": "Coffee shop",
  "categories": ["Coffee shop", "Cafe"],
  "address": "15 Rue de Rivoli, Paris 75001, France",
  "street": "15 Rue de Rivoli",
  "city": "Paris",
  "state": null,
  "countryCode": "FR",
  "postalCode": "75001",
  "phone": "+33 1 42 60 82 00",
  "website": "https://lepetitcafe.fr",
  "menuUrl": "https://lepetitcafe.fr/menu",
  "reservationsUrl": "https://opentable.com/...",
  "tableReservationProvider": "OpenTable",
  "openingHours": [
    {"day": "Monday", "hours": "7 AM-7 PM"},
    {"day": "Tuesday", "hours": "7 AM-7 PM"}
  ],
  "location": {"lat": 48.8606, "lng": 2.3376},
  "placeId": "ChIJLU7jZClu5kcR...",
  "url": "https://www.google.com/maps/search/?api=1&query=...",
  "reviews": [
    {
      "text": "Best croissants in Paris!",
      "stars": 5,
      "publishedAtDate": "a week ago",
      "responseFromOwnerText": "Merci beaucoup!"
    }
  ],
  "images": [
    {"imageUrl": "https://lh5.googleusercontent.com/...=w1200"}
  ],
  "contactInfo": {
    "emails": ["contact@lepetitcafe.fr"],
    "phones": ["+33142608200"],
    "facebooks": ["https://facebook.com/lepetitcafe"],
    "instagrams": ["https://instagram.com/lepetitcafe"]
  }
}

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💰 How Much Does It Cost?

This Actor uses Pay-Per-Event pricing. You only pay for data actually scraped. 10-30% cheaper than alternatives.

Event	Cost
🚀 Actor start	$0.005
🏢 Place scraped	$0.003
🔍 Filter applied (place skipped)	$0.001
📝 Additional details (reviews/images/Q&A)	$0.002
📧 Contact enrichment	$0.002
⭐ Per review	$0.0004
🖼️ Per image	$0.0004

💵 Cost Examples

Task	Places	Reviews	Cost
100 restaurants (basic info only)	100	0	~$0.31
100 restaurants + 5 reviews each	100	500	~$0.71
50 hotels + contact enrichment	50	0	~$0.26
500 businesses + reviews + contacts	500	2,500	~$4.51

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🎯 Use Cases

📈 Lead Generation

Scrape businesses in any industry to build targeted lead lists with emails, phones, and social media.

💼 Sales Prospecting

Find decision-makers at businesses with verified contact information from their websites.

🔍 Market Research

Analyze competitors, discover market trends, and understand customer sentiment through reviews.

🏢 Local SEO

Monitor local business listings, track ratings, and analyze competitor positioning.

📊 Data Enrichment

Enhance your existing business database with Google Maps data and contact info.

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💡 Tips for Best Results

🧪 Start Small

Test with maxCrawledPlacesPerSearch: 10 before scaling up.

🎯 Use Specific Searches

"Italian restaurant" finds better results than just "restaurant".

📍 Be Specific with Location

"Manhattan, New York" is better than just "New York".

⭐ Filter for Quality

Use placeMinimumStars: "4" to only get well-reviewed places.

📧 Limit Contact Enrichment

Set maximumLeadsEnrichmentRecords: 100 to control costs.

📝 Get More Reviews

Set maxReviews: 50 or higher — pagination handles it automatically.

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❓ FAQ

How is this different from other Google Maps scrapers?

We're the fastest scraper on Apify. We extract more data (contact enrichment, parsed addresses, paginated reviews up to 500) at a lower price. Plus we handle consent dialogs and location tiling automatically.

How fast is it really?

50 places with basic info in ~4 seconds. With 10 reviews + 5 images each, 40 places complete in ~4.5 minutes.

Can I scrape thousands of places?

Yes! The scraper is designed for scale. We split large areas into tiles to bypass Google's 120 result limit. Run 500 places per search term without issues.

How reliable are reviews?

95%+ success rate. Automatic retry and pagination ensure you get the reviews you asked for.

Can I get more than 20 reviews per place?

Yes! Set maxReviews up to 500. Reviews are automatically paginated.

Why are some places missing data?

Not all businesses have reviews, images, or websites. The scraper returns what's available on Google Maps.

Does contact enrichment always find emails?

No - it depends on whether the business website has publicly visible contact info. You only pay when data is found.

Can I scrape in different languages?

Yes! Set the language parameter to any supported language code (en, fr, de, es, etc.).

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🔌 Integrations

📦 Export Options

• JSON - Full structured data
• CSV - Spreadsheet-ready format
• Excel - Direct download

🔗 API Access

cURL:

curl -X POST "https://api.apify.com/v2/acts/betterdevsscrape~google-maps-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchStringsArray": ["restaurants"],
    "locationQuery": "New York, USA",
    "maxCrawledPlacesPerSearch": 10,
    "maxReviews": 5,
    "maxImages": 3,
    "scrapeContacts": true
  }'

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("betterdevsscrape/google-maps-scraper").call(run_input={
    "searchStringsArray": ["restaurants"],
    "locationQuery": "New York, USA",
    "maxCrawledPlacesPerSearch": 10,
    "maxReviews": 5,
    "maxImages": 3,
    "scrapeContacts": True,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item.get("contactInfo", {}).get("emails", []))

Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('betterdevsscrape/google-maps-scraper').call({
    searchStringsArray: ['restaurants'],
    locationQuery: 'New York, USA',
    maxCrawledPlacesPerSearch: 10,
    maxReviews: 5,
    maxImages: 3,
    scrapeContacts: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title, item.contactInfo?.emails));

🪝 Webhooks

Get notified when scraping completes.

🔄 Integrations

Connect via Zapier, Make, or any REST API platform.

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🔗 Related Tools

Website Contact Extractor

Need even deeper contact extraction? Our Website Contact Extractor scrapes emails, phone numbers, and 25+ social media profiles directly from any website — at just $0.001 per page.

Perfect combo: Use Google Maps Scraper to find businesses, then feed their websites into the Contact Extractor for comprehensive contact data including LinkedIn, Twitter, Telegram, WhatsApp, and more.

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💬 Support

• 🐛 Issues? Contact us through Apify
• 💡 Feature requests? We'd love to hear from you
• ❓ Questions? Reach out via Apify

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The fastest Google Maps scraper on Apify | ./CHANGELOG.md